Investing

The global trading landscape is evolving faster than ever. Margin pressure, rising regulatory expectations, and the entry of new fintech players are transforming how CFD and securities brokers compete. Once-dominant firms now face a new reality where differentiation depends less on product variety and more on regulatory trust, technology, and transparency.

1- Regulation Has Become a Competitive Advantage

Over the past decade, regulatory tightening has reshaped the brokerage industry. From MiFID II in the EU to new ESMA leverage caps and disclosure rules, compliance is no longer just a legal requirement – it’s a market signal.

Clients increasingly choose brokers who demonstrate regulatory credibility and operate within recognized jurisdictions. Investors are more aware of licensing status, data protection standards, and fund-segregation requirements. In this environment, obtaining and maintaining proper authorization — whether under CySEC, FSC Mauritius, or Labuan FSA – can turn compliance from a cost into a competitive edge.

2- Technology Defines Client Experience

Today’s retail and professional traders expect institutional-grade execution and intuitive design. Platforms that integrate fast order routing, multi-asset access, and mobile UX are attracting a younger generation of investors.

Artificial intelligence is also reshaping risk management and client engagement. AI-driven tools can identify suspicious trading patterns, detect margin risk early, and personalize user education. For brokers, technology is not only about innovation but also operational efficiency and regulatory safety.

3- Expanding Across Jurisdictions – The Smart Way

Many brokers aim to reach new markets by acquiring offshore entities or licensing in secondary jurisdictions. However, shortcuts in regulatory expansion often lead to reputational damage or frozen bank relationships.

Instead, forward-looking firms build their cross-border presence through licensed, compliant structures with clear AML/CFT controls. This ensures seamless cooperation with payment providers and liquidity partners while satisfying the growing scrutiny from European and Asian regulators alike.

4- The Role of Strategic Advisory Firms

Navigating multi-jurisdictional licensing is complex. Requirements differ between financial centers, and regulators now demand detailed business plans, compliance manuals, and AML frameworks.

Professional regulatory consultants such as Zitadelle AG assist brokers in designing robust licensing strategies, preparing regulatory documentation, and communicating with authorities. With experience across Europe, the UAE, Mauritius, Labuan, and Vanuatu, Zitadelle AG helps fintech and brokerage firms align their business models with international best practices.

5- Building Long-Term Trust

Ultimately, the future of CFD and securities brokerage depends on trust and sustainability. Traders prefer institutions that combine transparency, fair execution, and consistent regulation. Firms that embrace compliance, invest in secure technology, and focus on client-centric innovation will remain resilient despite market volatility.

In summary:
The modern brokerage industry rewards those who adapt — not only through trading technology but also through governance and credibility. Partnering with experienced advisors like Zitadelle AG, a global regulatory licensing and compliance consultancy, can help firms secure licenses efficiently, manage AML obligations, and stay competitive in a post-MiFID and MiCA world.

Despite a cooling trend across many technology sectors, the investment environment for artificial intelligence and cybersecurity startups remains resilient in 2025. Industry reports indicate that investor confidence in these sectors continues to hold steady, reflecting growing demand for innovation in digital protection and intelligent automation.

For Glilot Capital, this aligns with what the firm is already seeing on the ground. “The climate for our focus on cyber and AI is very strong,” said Kobi Samboursky, one of Glilot Capital’s founding partners. “This year has been a record one for us, showing just how high the demand is.”

Co-founder Arik Kleinstein added that the market is maturing in ways that benefit investors who prioritize value creation over hype. “The noise of the market has quieted down, which means investors can now focus on real innovation and business fundamentals,” he said. “That’s where Glilot has always excelled: backing teams that combine vision with execution.”

Playing the Long Game

While some investors pursue quick wins, Glilot takes a patient, long-term approach. “Good investors always play the long game,” Samboursky said. “The potential today is huge. AI and cybersecurity are disrupting existing markets and creating entirely new ones, but that kind of transformation takes time.”

That philosophy has defined Glilot’s investment strategy since its founding. With 23 successful exits to date, the firm’s track record underscores the strength of its approach. “We’ve been able to prove that you can build big companies while also generating significant liquidity,” Samboursky added. “That balance allows us to think long term while still delivering strong DPI to our investors.”

Kleinstein agreed, noting that Glilot’s approach is built on trust and partnership. “Our job is not just to fund companies but to help them scale responsibly,” he said. “That’s how we achieve consistent outcomes and maintain alignment with our founders over the long term.”

$500 Million Fund Fuels Next Wave of AI and Cybersecurity Innovation

This long-term vision is being backed by significant new capital. In September 2025, Glilot Capital announced it had raised $500 million to accelerate investments in artificial intelligence and cybersecurity. The new funds will be used to support early-stage startups as well as later-stage companies driving innovation in these high-growth sectors.

Standing Out in a Crowded Market

In Israel’s highly competitive deep-tech ecosystem, where AI and cybersecurity innovation are thriving, Glilot’s ability to deliver measurable results helps it stand apart. “Our ability to help portfolio companies is unique,” Samboursky said. “It’s attractive to great founders, which means we win twice by bringing in top talent and by delivering strong returns.”

Kleinstein added that Glilot’s operational involvement gives it a competitive edge. “We don’t just invest; we partner closely with our companies. Whether it’s strategy, hiring, or global expansion, we’re hands-on from day one,” he said.

Samboursky expects the venture capital landscape to evolve over the next few years. “We’re big believers in the specialization model,” he said. “Cybersecurity is a unique domain that requires focused expertise. But we also expect consolidation among larger, generalist funds as new, specialized teams emerge.”

New Frontiers for AI and Cybersecurity

As AI models grow more powerful, so do the risks associated with them. Samboursky sees immense potential across three core areas of opportunity. “We see huge opportunities across three super domains,” he explained. “First, protecting AI itself—the models, data, and tools. Second, using AI as part of cyber operations to counter AI-driven attacks. And third, AI-native companies that can replace older cyber incumbents.”

Kleinstein added that this evolution is reshaping how businesses think about defense. “Security is no longer just about protection; it’s about enabling innovation safely,” he said. “The companies that can strike that balance will lead the next wave of digital transformation.”

Business models are evolving just as rapidly as the technology itself. “The main model will likely remain B2B,” Samboursky said. “But the rise of AI agents opens new possibilities for usage-based or service-style models we haven’t seen before.”

Exit Outlook and Risk Strategy

Even amid slower IPO activity, Samboursky remains confident about the near-term exit environment for cybersecurity and AI startups. “One of the big advantages of cybersecurity investing is its relatively strong exit environment,” he said. “We’re seeing growing M&A activity not just from big cyber players but also from technology firms, service providers, and even mid-sized companies looking to strengthen their defenses.”

Glilot typically invests in around 12 AI and cybersecurity startups per fund, maintaining a focused yet diversified portfolio. “We’ve always believed in a relatively concentrated portfolio,” Samboursky said. “Twelve companies is a good balance, especially given our high hit rate and the returns we’ve achieved with this model.”

To mitigate the risk of technological obsolescence, Glilot backs teams with deep technical insight and adaptability. “We try to identify companies that are running the risk of becoming obsolete early,” Samboursky added. “If needed, we help them find another home before the risk becomes material.”

Kleinstein emphasized that Glilot’s proactive approach to risk is part of what keeps its performance consistent. “We don’t wait for problems to surface; we anticipate them,” he said. “That mindset is critical in fields that move as fast as AI and cybersecurity.”

What’s Ahead for AI

Samboursky believes that the convergence of AI and cybersecurity represents a transformation even greater than the cloud revolution. “AI has a bigger impact on our lives than cloud ever did,” he said. “Already, analysts are identifying multiple sub-domains for AI protection, and this is only the beginning.”

For Glilot, this is not just an investment cycle but the start of a decade-defining opportunity. “The depth and breadth of AI usage are growing so quickly that new attack surfaces appear almost daily,” Samboursky said. “That’s exactly where the biggest opportunities lie.”

Kleinstein agreed, framing this moment as one that will shape the future of digital security. “The next generation of cybersecurity companies will be born from AI itself,” he said. “It’s an incredible time to be building in this space.”

As the digital landscape evolves, Glilot is positioning itself at the intersection of innovation and resilience but also building companies designed not only to defend against tomorrow’s threats but also to define the future of digital security.

When sales teams chase intent signals, they’re usually digging through traffic logs, third-party panels, or content consumption data that hints at interest, but rarely offers clarity.

Onfire, a fledgling AI startup, is positioning itself as a watershed shift: rather than chasing proxies, it claims to deliver contextual, person-level intent by mining developer and technical user behavior in real time. If it works, this could be the first time a sales AI platform combines signal precision with narrative context. It’s not just “who clicked,” but “what trouble they are describing, in their own words.”

Why Context Has Always Been the Missing Piece

Intent data is a thriving industry. According to DataIntelo, the global “Contextual Intelligence Platforms” market reached about $4.7 billion in 2024, and is projected to skyrocket to $36.6 billion by 2033. This growth trajectory is a clear indicator of the increasing demand for more precise signals, faster, to sharpen outreach and shorten sales cycles.

Yet many organizations report that their intent data comes without sufficient context. A survey reveals that 35% of B2B marketers identify maintaining accuracy across multiple sources as their biggest challenge. Another 35% say the harder part is turning intent data into action. Meanwhile, the often-criticized drawbacks of intent tools include misinterpretation (mistaking curiosity for purchase intent), stale or outdated data, and weak matching to relevant roles or technologies.

Onfire’s Approach: Precision + Narrative

Onfire defines itself as an “AI-powered revenue intelligence platform that helps sales teams identify high-intent prospects by analyzing developer activity, detecting real-time buying signals, and enriching target accounts with the right decision-makers and technologies.” The key differentiator is combining what people are saying with who is saying it, along with what technologies it already uses. For example, this could mean posts in technical forums or developer communities.

Instead of issuing alerts when someone visits a whitepaper or researches a broad topic (which many intent tools do), Onfire captures signals like: “seeing memory leaks with framework X,” or “we need horizontal scaling support for architecture Y.” These are far richer than generic interest indicators.

That technical dimension of developer activity, technical signal matching, and decision-maker identity, is what turns raw intent into actionable, contextual intelligence.

The Challenge of Noise, Scale, and Signal Validation

Delivering on that promise, however, demands solving hard problems. To begin with, signal quality: developers discussing bugs, feature requests, or architecture are plentiful, but distinguishing noise (casual commentary, hypothetical discussion) from purchase-readiness is nontrivial. Effective resolution between these is vital.

Then there is source coverage: the breadth of forums, communities, tech stacks, languages, and frameworks to monitor. Gaps in coverage can produce blind spots or bias. According to intent data research, a lack of adequate signal coverage is one of the chief reasons companies struggle with existing solutions.

Also, timeliness matters. The data needs to be real-time (or close to it), and decision-maker enrichment must be accurate and up-to-date. Outdated profiles or mismatched roles diminish value quickly. Research shows that stale data and poor signal verification can degrade the ROI of intent programs.

Market Opportunity & Timing

The macro environment favors what Onfire is doing. With buyer journeys becoming increasingly complex, especially in technical enterprise B2B or developer tools, decision-making is often embedded in technical forums, open-source communities, issue trackers, or developer Q&A sites. Vendors who fail to account for those technical signals risk missing early indicators of interest.

Moreover, the contextual intelligence platforms market indicates that there is room for innovation. In parallel, the “context-aware computing” market (which includes predictive services and real-time analysis of context) is estimated to reach over $122.2 billion by 2030.

What’s New And What’s at Stake

Onfire is doing something rare: it takes real conversations (where people describe their technical problems in everyday language) and connects them to the right decision-makers and technologies. Instead of guessing what people care about, it understands their actual challenges, the words they use, and what’s at stake for them.

For sales teams, that means better timing, more fitting messaging, and potentially fewer wasted outreach cycles. It also promises stronger alignment with product teams, since the details of what issues people are wrestling with emerge more clearly.

More Than Signals, They’re Stories

OnFire isn’t riding the coattails of “intent” optics or noise-filled dashboards. By building an engine that listens for where technical problems are being discussed, what they are, by whom, and with what technology context, OnFire could mark a turning point in sales tech. The difference may be what separates wasted outreach from resonant, revenue-driving conversations.

For the first time, sales AI may move from “who clicked” to “what’s actually broken,” and that could matter more than anything else.

For years, bookkeeping was a shoebox of receipts, those thick ledger books and manual data entry an onerous task that was often overlooked as less than unglamorous among companies. Yet the digital revolution has transformed this vital role beyond recognition. Bookkeeping today is not only about recording transactions of the past, but it has become a forward-thinking and always updating reflection of a company’s financial well-being. Questr was born out of this matured vision, and from the new generation technology tools which has become a reality; building together an integrated automated solution that allowed for achieving complete End to End Bookkeeping Management approach that is proactive, comprehensive and intelligent.

The Rise of Automation and Artificial Intelligence

The recent one that will change bookkeeping once and for all is automation, the use of Artificial Intelligence (AI). The time is long gone with everything being manually typed. Current solutions leverage innovations like OCR and machine learning to automate the extraction of data from bank statements, bills, receipts, etc., tagging transactions with a high level of precision. Artificial intelligence and with AI, the more corrections you make, the more it learns and adapts to become better at getting things right. This automation significantly cuts down on manual data entry, which means a recording inaccuracy rate of close to 0%, and importantly frees up business owners and accountants to spend more time on analysis and strategy rather than number crunching. It is only the first step, but an important one for a fully integrated End to End Bookkeeping Management.

Real-Time Financial Visibility and Cloud Accessibility

Proliferation of cloud-based platforms has broken the traditional barriers of time and place. But instead of relying on desktop software that is married to a single computing device, cloud bookkeeping tools offer users real-time, anywhere access to their company’s financial information. Business owners are able to view their cash flow, outstanding invoices and profits anywhere, via any device connected to the internet. This real-time visibility is a game-changer when it comes to decision-making; instead of making decisions based on month-old reports, managers can now make evidence-based strategic decisions based on the company’s financial reality. This round-the-clock connectivity also serves to enable collaboration between a company and its outside accounting partners, with everyone working off a common set of information that’s always current.

Integration: Creating a Cohesive Financial Ecosystem

These days, accounting software doesn’t work in isolation. Their real power is realized from deep integrations with other business-enabling systems. They smoothly integrate with bank accounts and credit cards to automatically log transactions, point-of-sale (POS) systems to record sales effortlessly, payroll providers for ease in processing employee payments, and CRM systems for a full picture of customer financial interactions. This interconnectedness results in one source of truth for all financial information, no double data entry into multiple systems and consistency across the board. This integrated suite of apps is the foundation for an effective End to End Bookkeeping Management solution allowing data to flow seamlessly throughout the business process.

Enhanced Data Security and Disaster Recovery

Although many business owners worry about shifting financial numbers to the cloud, today’s bookkeeping services offer more security than most on-premises systems. Legitimate providers have invested thousands and thousands in enterprise-level security and bank-grade encryption, use secure socket layer (SSL) technology, multi-factor verification, as well as automated backups. That means financial data will be safe from local disasters such as fire or theft and political unrest, far safer than on paper records or a single hard drive. These strong security measures offer peace of mind by making sure a business’s most important asset its financial records, are safe to arrive and can be restored at any time.

From Historical Recording to Predictive Forecasting

The narrative of bookkeeping software has changed from Retroactive Historian to Shrewd Strategist. Secondary Info Systems that utilize the clean, well-organized, and complete data they gather can produce impactful analytics and visualizations which can be a lot more than simple posts, and you’ll be saved by reports from basic profit and loss statements. More advanced an analytics can track spending trends, measure KPIs and could even utilise historical data to forecast future cash flows. This predictive ability to see what’s coming around the corner is empowering for business owners, who not only can proactively address any challenges on the horizon but also can seize growth opportunities and invest with purpose. This shift from looking back to thinking ahead may be the most profound way technology is changing the game.

The Strategic Advantage of Professional Partnership

These are powerful methods, but both their use and interpretation tend to require expertise. And here is where the strategic relationship comes into play. With End to End Bookkeeping Management, a business will be assured that they are using the appropriate technology stack, their automated processes have been dialed in for accuracy and profitability and that the data is being used to gain practical business intelligence. This collaboration leverages an optimal mix of technology and human intelligence so the financial function is not only efficient but also cohesively works towards the company’s vision.

Conclusion

The game has indeed changed. Today’s bookkeeping software has turned a retrospective, administrative chore into a prospective, strategic advantage. With automation, live data, deep integrations and analytics capability that was once unimaginable for most businesses they are offering a level of visibility and control in return processes is unprecedented. Adopting these technologies most likely through a managed service offering End to End Bookkeeping Management is not just an option but a requirement for any business wanting to truly succeed in today’s highly complex and competitive economic environment. The future of bookkeeping does not lie only in counting beans but also in planting the right ones and knowing how they are going to grow, when and where.

Monexis offers customized trading strategies for the Global Forex Market.

Monexis, a global leader in trading innovation, is making waves across the forex industry with the introduction of its customized trading strategies, designed to help traders navigate market volatility and earn consistent, improved returns. With this strategic expansion, Monexis aims to redefine how traders approach the forex market, offering data-driven, individualized trading systems that prioritize risk management, confidence, and long-term profitability.

Empowering Traders with Tailored Strategies

The forex market, known for its dynamic movements and fast-paced environment, demands precision, discipline, and insight. Recognizing these challenges, Monexis has developed an integrated suite of customized strategies to make trading more accessible, intuitive, and efficient for both novice and professional traders. Through a sleek, user-friendly interface, traders can seamlessly execute trades, monitor positions, and adjust strategies in real time, bridging the gap between human intuition and analytical precision.

By prioritizing customization, Monexis ensures that traders no longer rely on one-size-fits-all systems. Instead, each trading plan is fine-tuned according to an individual’s goals, risk tolerance, and market experience. This bespoke approach empowers traders to make informed decisions with confidence while maintaining a disciplined trading routine.

A Scientific Approach to Market Entry and Exit

Monexis places significant emphasis on strategic entry and exit planning, one of the cornerstones of successful trading. The company’s experts assist users in identifying high-probability trading opportunities through a combination of technical and fundamental analysis, minimizing guesswork and maximizing accuracy. By establishing well-defined entry and exit points, traders are encouraged to follow their pre-determined strategy rather than reacting impulsively to short-term market fluctuations.

This methodology not only strengthens trading confidence but also ensures consistent execution, ultimately leading to enhanced performance and more predictable outcomes. The company’s analytical systems continuously assess market trends and historical data to refine these strategies further, ensuring they remain relevant in changing market conditions.

Risk Management and Consistency at the Core

Effective risk management lies at the heart of Monexis’s philosophy. The platform provides tools that help traders determine optimal stop-loss levels, position sizing, and risk-reward ratios, ensuring a balanced approach to capital preservation and profit maximization.

For Monexis, trading success is not just about making profits but sustaining them. The company emphasizes discipline and patience as foundational principles for long-term success. By tailoring strategies to a trader’s unique psychological and financial profile, Monexis helps users cultivate consistency, an often-overlooked yet crucial aspect of lasting success in forex trading.

Bridging the Gap for New Traders

In an effort to make professional trading strategies more accessible, Monexis also allows beginners and less-experienced traders to benefit from the expertise of seasoned professionals. Users can review performance histories, risk profiles, and past trading outcomes before selecting a professional trader to follow. Once selected, Monexis executes trades automatically in line with that trader’s decisions, providing a transparent and educational experience for newcomers.

This feature democratizes access to professional-grade trading, offering a practical learning curve for those looking to understand strategy development, risk control, and disciplined execution firsthand.

About Monexis

Monexis is a revolutionary trading company offering personalized trading solutions to traders around the globe. Since its inception, the company has focused on developing advanced strategies that balance profitability with sustainable growth. Through innovative technology and detailed market analytics, Monexis delivers tools and insights that cover a broad spectrum of financial instruments, from traditional stocks to cutting-edge cryptocurrencies.

By combining innovation, customization, and expertise, Monexis continues to empower traders at every level of their journey, helping them achieve financial independence, confidence, and lasting success in the global forex marketplace.

MEDIA CONTACT

Contact Person: Bruce Kovner

Company Name: Monexis

Website: http://monexis.org

Email: trust@monexis.org

City: New York

Country: USA

 

Disclaimer:

This content has been provided by Monexis and is published as received. Monexis is solely responsible for the information contained herein, including its accuracy and completeness.

This press release is for informational purposes only and does not constitute financial advice or an endorsement of any product or service. Readers should conduct their own research and consult a licensed financial advisor before making investment decisions.

Douglas, Isle of Man – Sentra Capital Investments Limited, a leading international investment firm specializing in fixed income, today announced the forthcoming launch of its Bond Exchange-Traded Funds (ETFs) and a new actively managed fixed-income fund. These initiatives further demonstrate Sentra’s commitment to delivering professional, tax-efficient investment opportunities that bridge the gap between institutional and private investors.

The introduction of Bond ETFs will offer clients a simple, transparent, and liquid way to access diversified fixed-income exposure—including government, corporate, and ESG-focused bonds—while maintaining competitive costs and professional oversight. Alongside this, the new fixed-income fund will pursue capital preservation, consistent income, and disciplined credit risk management, aligning with the needs of investors seeking dependable yield in a volatile rate environment.

“Through our Bond ETFs and fixed-income funds, we’re giving investors greater flexibility and control in how they approach income generation,” said David Foster, Public Relations Officer at Sentra Capital Investments. “These products reflect Sentra’s philosophy of combining institutional-level research with private investor accessibility.”

Michael Chambers, Senior Fixed Income Advisor at Sentra Capital Investments, added:

“The bond market has entered a highly attractive phase for long-term investors. With yields at their most compelling levels in years, our new strategies are designed to capture stable income while protecting capital. Sentra’s experience in credit research, yield targeting, and portfolio construction ensures our clients benefit from institutional discipline with retail accessibility.”

About Sentra Capital Investments

Headquartered in the Isle of Man, Sentra Capital Investments is a specialist in fixed-income and structured investment solutions. The firm provides clients with access to institutional-grade bond opportunities—typically issued in large institutional blocks—and offers investors the ability to participate from as little as £50,000.

Operating from one of the world’s most efficient and respected offshore financial jurisdictions, Sentra delivers tax advantages, privacy protections, and flexible cross-border investment options not commonly available through onshore institutions. Sentra’s focus is on transparent, compliant, and results-driven fixed-income investing, empowering clients to achieve stable, predictable income with confidence.

Both the Bond ETFs and the fixed-income fund are scheduled for release in the fourth quarter of this year, under Sentra’s established risk management and oversight framework. Each product is designed to offer investors institutional-grade income solutions with a focus on liquidity, transparency, and capital protection.

These developments reinforce Sentra Capital Investments’ position as a leading authority in the fixed-income market, committed to helping global investors achieve their financial goals through disciplined, tax-efficient strategies.

For more information on Sentra Capital Investments’ upcoming Bond ETFs and fixed-income funds, please visit sentra.capital or contact media@sentra.capital.

Contact Details:

Sentra Capital Investments Limited

Mr. David Foster, Public Relations Officer

Email: media@sentra.capital

Disclaimer:

This content has been provided by Sentra Capital and is published as received. Sentra Capital is solely responsible for the information contained herein, including its accuracy and completeness.

This press release is for informational purposes only and does not constitute financial advice or an endorsement of any product or service. Readers should conduct their own research and consult a licensed financial advisor before making investment decisions.

Ethical automation in finance accelerates lending and payments while protecting customers through auditable controls, consent, and human oversight. The article focuses on outcomes that satisfy FCA Consumer Duty and GDPR without slowing execution for lenders, fintechs, and brokers that modernise origination and servicing.

Which pillars make automation trustworthy?

Trustworthy automation rests on three pillars that work together and leave a trail for regulators and customers.

1. Governance sets guardrails, ownership, audit trails, and change control.
2. Data rights respect consent, purpose limits, minimisation, and retention.
3. Human control supervises models, handles exceptions, and approves material decisions.

How do Consumer Duty and GDPR shape ethical automation?

Consumer Duty and GDPR shape product design, disclosures, and handling of vulnerable customers through outcomes led supervision and lawful processing. Lawful bases, minimisation, and DSAR readiness connect to loan files, decision logs, and case notes. Complaint evidence loops back into product governance, feature flags, and model tuning.

“Clear fees, plain disclosures, and early vulnerability flags reduce complaints and speed completions. Rapid cases still pass muster when advisers record reasons for overrides, capture consent, and escalate edge cases with full context for underwriting.” 

Holly Andrews, Managing Director at KIS Finance

How should you architect for speed with oversight?

A sound architecture captures first party data, orchestrates decisions, and completes fulfilment with real time telemetry and lineage. Segregation of duties, RBAC, explainability, and event logging create transparency across channels and partners. Salesforce Platform, Data Cloud, and Flow record consent, route exceptions, and assemble an audit trail that spans broker portals and lender work queues.

“Design automation with Flow guardrails, named approvals, and consent stamps at every step. Exception queues, SLA timers, and explainable decisions shorten cycle time while strengthening conduct risk evidence for audits.” 

Adam Czeczuk, Head of Consulting Services at ThinkBeyond

Which control checks should teams run weekly?

Weekly checks keep automation honest and fast.

1. Drift and fairness tests across protected attributes and product segments.
2. Champion versus challenger readouts with override analysis and rationale.
3. Complaint and arrears movements mapped to approval bands and cohorts.
4. Sampled file reviews with explicit evidence of informed consent.
5. Access reviews for users, roles, integrations, and API tokens.

Controls that preserve trust without losing speed

Strong control sets cover model lifecycle management, feature sensitivity logs, policy as code, and red flag rules for edge cases. Escalation paths move complex files to senior underwriters with full context, decision rationale, and outcome tracking across onboarding and servicing. Strong guardrails make automation in finance both fast and accountable.

Which metrics matter to executives?

A compact scorecard guides trade offs without noise. Time to decision, approval rate stability per cohort, complaint rate, uphold rate, arrears migration, fairness delta, and override frequency with reasons form a balanced view. Each metric maps to an owner and a review cadence that supports Consumer Duty outcomes. Tie the scorecard to incentive plans and quarterly risk appetite statements to turn numbers into action.

A ninety day delivery plan:

Weeks zero to two map risks, data flows, and control gaps. Weeks three to six pilot flows, logging, and dashboards across a contained product. Weeks seven to twelve expand segments, add challenger models, wire in OmniStudio screens for exception handling, and formalise runbooks for overrides, model reviews, and audits. Schedule a day ninety gate to approve scale out only when evidence shows stable outcomes and audit readiness.

Where do teams stumble and how do you avoid it?

Common traps include opaque third party scores, consent drift, orphaned automations, and weak exception handling. Strong change control and regular sign offs from product, risk, and legal keep releases stable and defensible. Clear ownership for data lineage prevents silent failures. Run premortems before major releases and simulate failure paths to expose gaps while the blast radius stays small.

Close

Ethical automation accelerates decisions, reduces complaints, and improves regulator engagement when governance, data rights, and human oversight work together. Successful audits and stable customer retention demonstrate effectiveness. With clear governance, automation in finance scales predictably and safely.

When TIME revealed its 2025 TIME100 Next list, one name stood out in the science and tech ranks: Ben Lamm. Already a headline-maker for his work in de-extinction through Colossal Biosciences, Lamm was recognized not just for a single scientific breakthrough, but for orchestrating a movement. That movement includes genetically engineered prototypes like woolly mice and dire wolf cubs—symbols of a future shaped not by loss, but by restoration.

But what the TIME profile, authored by geneticist and longtime collaborator George Church, hinted at—just barely—is that Lamm has also been discreetly building something else: Astromech, a stealth AI startup that has already raised $30 million in funding and may prove just as transformative.

Building Coalitions to Move Science Forward

Church’s tribute in TIME called out Lamm’s rare ability to bring together “unlikely coalitions”—a mix of conservationists, ethicists, Indigenous leaders, gene therapists, embryologists, and AI specialists. That same ability is at work inside Astromech, where current recruiting efforts (scroll down) seek expertise across gene regulation, sequence reconstruction, metabolic modeling, and protein folding.

The connective thread? Data. Specifically, the kind of genomic inference and ancestral modeling that powers both synthetic biology and de-extinction. Where Colossal turns ancient genomes into living prototypes, Astromech appears poised to turn artificial intelligence into a new kind of research engine.

The Vision Includes Philanthropy

Lamm’s impact isn’t confined to the lab or the cap table. He founded the Colossal Foundation to support ecological restoration and endangered species, including elephants, wolves, and rhinos. His leadership style—described by Church as balancing “respect and humor” in the face of skepticism—has helped attract not only funding but followership (as well as some critics.)

The blend of public fascination, scientific rigor, and philanthropic mission may be why Colossal’s story resonates far beyond the biotech press. It’s rare to see gene editing, climate mitigation, and speculative evolution wrapped into one brand.

Stealth Mode Strategy

Unlike Colossal, which thrives on visibility and media engagement, Astromech is staying in stealth. The website is sparse and stylized, with little more than a career board and cryptic design motifs. But the direction is clear: Astromech is building AI infrastructure for synthetic biology. It’s biotech R&D reimagined through a computational lens.

This model allows Lamm to develop AI tools insulated from hype cycles or pressure to prematurely commercialize. The overlap between Astromech’s job specs and Colossal’s technical needs—especially in modeling extinct and ancestral traits—suggests the ventures could one day converge, though at this time is pure speculation.

Balancing the Spotlight

Juggling two frontier-facing ventures isn’t simple. Colossal’s media-fueled momentum demands narrative control, scientific validation, and constant coordination with regulators and researchers. Astromech, by contrast, offers a sandbox for longer-term infrastructure development—free from public expectation.

But both are bound by the same long-game thesis: the future of biology will be computational.

What to Watch For Next

Lamm’s TIME100 Next nod underscores his growing influence across two of today’s most consequential sectors: biotechnology and AI. Whether through resurrecting extinct species or building tools to model life itself, his work suggests that imagination, when combined with systems thinking, is no longer a luxury—it’s a strategy.

Social media is one of the most powerful tools for brands to engage with their audience, promote products, and build a loyal community. However, creating fresh, engaging, and relevant content consistently can be time-consuming and challenging. This is where AI chat tools come into play.

AI-powered chat tools, such as ChatGPT, have become indispensable assets in content creation for social media. By assisting with ideation, writing, and even optimizing posts for engagement, AI chat tools can streamline the content creation process, allowing businesses to focus on strategy, interaction, and community building.

In this blog, we’ll explore how to use AI chat for social media content creation, from generating post ideas to crafting engaging captions and analyzing performance.

1. Generating Social Media Post Ideas

Coming up with new ideas for social media content on a daily or weekly basis can be a daunting task. This is where AI chat tools can provide valuable support by generating fresh ideas tailored to your audience and industry.

AI chat tools can analyze trends, customer interests, and historical data to suggest relevant topics. For example:

• Topic Suggestions: You can ask AI for ideas based on specific themes, like “Suggest social media post ideas for a skincare brand focused on anti-aging products.”

• Trending Topics: AI can identify trending hashtags or topics and recommend content ideas that resonate with current conversations. For example, “What are the top skincare trends in 2023?”

• Seasonal Content: AI can help you come up with content ideas for seasonal campaigns, such as holidays, special events, or product launches. For example, “Give me 10 Instagram post ideas for a holiday sale for a fashion brand.”
  

AI tools can help you stay ahead of trends and ensure your content is timely and relevant, which is crucial for engaging your audience.

2. Creating Engaging Social Media Captions

Writing captivating captions is essential for driving engagement on social media platforms. AI Search Engine can generate creative, attention-grabbing captions that are tailored to your brand’s voice and target audience.

You can provide specific instructions to the AI for creating captions that match your desired tone. For example:

• Tone and Style: “Write an Instagram caption for a fitness brand, with a friendly and motivating tone.”

• Call-to-Action: “Create a Twitter caption for a sale announcement, including a strong call-to-action to encourage clicks.”

• Hashtags: AI can suggest relevant hashtags based on the content, ensuring your posts reach a wider audience. For example, “Suggest hashtags for a post about eco-friendly beauty products.”
  

With AI-generated captions, you can ensure that your content remains engaging, creative, and aligned with your brand’s messaging.

3. Personalizing Social Media Content

One of the most powerful aspects of social media marketing is personalization. AI chat tools can help you tailor content for different audience segments, ensuring it resonates with specific groups.

For example, AI can analyze customer behavior, demographics, and preferences to suggest personalized content. You can ask AI to:

• Segment Posts for Different Audiences: “Create two versions of a Facebook post: one targeting women aged 25-35 and another targeting men aged 35-45.”

• Customize Content for Platforms: “Generate a LinkedIn post targeting professionals in the tech industry and a more casual Instagram caption for the same product.”

• Repurpose Content: AI can also help you repurpose existing content for different platforms. For instance, “Convert this blog post into a short LinkedIn post highlighting the main points.”
  

By using AI to personalize content, you can increase engagement and ensure that your message resonates with the right people.

4. Scheduling and Optimizing Content

AI chat tools can assist in optimizing your social media strategy by helping you schedule posts at the right time for maximum engagement. AI can suggest the best times to post based on audience activity and past performance.

For example:

• Optimal Posting Times: “What is the best time to post on Instagram for a fashion brand targeting young adults?”

• Content Scheduling: AI tools integrated with social media management platforms can help you schedule posts for optimal times, ensuring consistent content distribution without manual intervention.
  

By using AI to automate the scheduling process, you can save time and focus on other aspects of your marketing strategy while ensuring that your content reaches your audience when they are most likely to engage.

5. Generating Social Media Ad Copy

Creating compelling ad copy is crucial for driving conversions through paid social media campaigns. AI chat tools can assist by generating ad copy that resonates with your target audience and encourages action.

You can prompt AI to write ad copy that includes key selling points, benefits, and a strong call-to-action. For example:

• Product Ads: “Write a Facebook ad copy for a new coffee machine, highlighting its features and benefits.”

• Sales Promotions: “Generate an ad for a limited-time 50% off sale for a skincare brand.”

• Event Promotion: “Write an ad promoting an upcoming webinar on digital marketing strategies.”
  

AI chat tools can create multiple variations of ad copy, allowing you to A/B test different messages and optimize your campaigns for the best results.

6. Analyzing Content Performance

AI tools can be incredibly useful for analyzing the performance of your social media content. By integrating AI chat tools with analytics platforms, you can get insights into which posts perform the best and why.

For example:

• Engagement Metrics: “Analyze the performance of the last five Instagram posts and suggest improvements based on engagement rates.”

• Content Recommendations: “Based on the data, recommend content ideas that are likely to increase engagement for our upcoming campaign.”

• Improvement Suggestions: AI can even provide suggestions on how to improve underperforming posts, such as adjusting the copy, adding more hashtags, or changing the posting time.
  

By using AI to analyze performance, you can fine-tune your strategy and continually improve your social media content.

7. Improving Customer Interaction and Engagement

AI chatbots and chat tools can also be used to interact with your audience in real-time, responding to comments, messages, and questions. This enhances customer engagement and helps build stronger relationships with your followers.

• Real-Time Interaction: “Set up an AI chatbot to automatically reply to common questions on our Instagram account.”

• Customer Support: “Create automated responses for common queries like product availability or shipping times.”
  

By integrating AI chat with your social media channels, you can provide prompt responses and ensure that customers feel heard and valued.

Conclusion

AI chat tools offer immense value in social media content creation, from generating post ideas to crafting personalized captions and optimizing performance. By incorporating AI into your social media strategy, you can streamline your content creation process, increase engagement, and enhance customer interactions.

SOUTH WALES, UK – Perpetuus Advanced Materials, following the successful launch of its sustainable graphene enhanced natural rubber masterbatch, today announced a joint venture with Asiatic Rubber Pvt. Ltd. This partnership marks a major milestone in the commercial deployment of its advanced elastomer technologies across India and Asia.

The new venture includes a comprehensive upgrade of Asiatic’s existing manufacturing facility to produce graphene natural rubber carbon black masterbatch. This material is currently under evaluation by several of India’s leading multinational tyre producers.

Building on this momentum, Perpetuus is also in negotiations with Kerala Rubber Ltd. to construct a state of the art 80,000 sq. ft. graphene masterbatch manufacturing facility in Kottayam, Kerala, scheduled to become operational in 2027. The Kottayam plant will produce industrial-scale volumes of Perpetuus’s patented graphene masterbatches, supporting both the Indian tyre market and broader elastomer sectors, including conveyors, gaskets, belts, retreads, and industrial hoses.

This initiative aligns with India’s strategic objectives to lead in advanced manufacturing and sustainable materials innovation, positioning Kerala as a global hub for graphene-enhanced elastomer production. These developments represent a critical step in Perpetuus’s mission to transform the tyre and elastomer industries through accessible, scalable, and environmentally sustainable solutions.

Perpetuus’s graphene masterbatch technology enhances tyre durability, wet grip, and energy efficiency. By eliminating the need for many traditional processing oils and toxic additives, it also helps manufacturers meet regulatory compliance. Offered as ready-to-mix sheets, the masterbatch allows tyre and rubber companies to seamlessly integrate graphene into existing production workflows, reducing energy consumption, minimising airborne particulates, and improving workplace safety.

“This strategic partnership demonstrates the commercial maturity of our technology.” said John Buckland, CEO of Perpetuus Advanced Materials. “We’ve moved from launch to regional production, and shortly to global scale-up with our Indian partners who share our vision for next generation, high performance, and sustainable materials.”

In parallel, Perpetuus is expanding its product development to include sustainable reinforcing materials such as recovered carbon black (rCB) and Tyre Derived Polymers (TDP), creating a new generation of graphene-enabled circular elastomers. The company is also developing graphene-enhanced synthetic rubber masterbatches to support global manufacturers seeking to reduce their environmental impact while elevating performance.

For more information on Perpetuus Advanced Materials, visit PerpetuusAM.com.

About Perpetuus Advanced Materials

Perpetuus Advanced Materials is a leader in sustainable, industrial graphene technology, dedicated to transforming industries with high-performance, eco-friendly solutions. Their innovative material technologies empower manufacturers to meet environmental regulations while improving operational efficiency and product quality. 

 

MEDIA CONTACT

Name: John Buckland

Company: Perpetuus Advanced Materials

Email: info@perpetuusam.com

Website: https://perpetuusam.com/