Spontenous interview with @theallinpod at Davos 😅thanks to the world’s greatest moderator @jason for the interview. Marginal productivity gains and simple automations are cool but not impactful enough. Digital Knowledge Workers are letting companies scale knowledge work in ways that were never possible before. What’s coming next will be fascinating. AI scientists driving breakthroughs in R&D. AI economists that can be scaled across an entire enterprise, not trapped in one team. That’s exactly what we’re doing today with customers like Cisco - scaling expert-level reasoning.

“causaLens is transformative for AI in high-stakes environments such as Pharma & Life Sciences” As former CDIO of @novonordisk and an advisor to causaLens, Anders Romare has spent years operating at the sharp end of Pharma & Life Sciences - where decisions directly impact patients, regulators, and billions in value. In these environments, AI can’t be a black box or a nice-to-have. It has to be reliable and ready to operate inside real enterprise workflows. That’s why we are delighted to have the support and perspective of Anders as we help enterprises move AI from experimentation to trusted, production-grade deployment. causaLens sets the standard for reliable AI.

Adam, one of our Senior AI Engineers, gave a guest lecture at The Centre for Human-Inspired AI (CHIA) at Cambridge University last week 🎓 He talked about the rapidly developing space of Agentic AI, walking students through theoretical concepts and through his own experiences and recommendations as a Senior AI Engineer working in this field. Students were engaged and he had great chats afterwards about working with LLMs, building agentic AI, and how to start a career in this area. Awesome to see causaLens being represented at top academic institutions.

We just BEAT OpenAI on reliability benchmarks by 3X. Massive shoutout to @Steven and the R&D team for pulling off something extraordinary - more on this soon. The moat is only getting wider from here as Digital Workers achieve REAL enterprise automation with REAL reliability. Simple automations and copilots cannot be trusted with live workflows. 🚀

Most AI Proofs of Concept fail to deliver value. They burn months of effort testing models in artificial conditions - and prove nothing about performance in the real world. AI is now a capability that should deliver value from day one. Digital Workers need live, measurable deployment - real tasks, real systems, real ROI within days. We break down why the PoC model is broken - and how enterprises are moving straight to production with Digital Workers - in our latest blog. The Death of AI PoCs: causalens.com/blogs/the-deat…

Juan Carlos Araque from J&J at our last conference: "Automating how we run through the data and scale up across products is the future for us.” Repeatability like this turns best practice into standard practice - everywhere. Processes that scale reliably across the enterprise are going to be essential to staying competitive in the next wave of AI-driven manufacturing. We’re proud to be working with leading pharmaceutical companies to make that future real - building Digital Workers that automate complex analytical tasks, accelerate insight generation, and deliver measurable ROI from day one. Watch the conversation below. 👇

Great to be amongst the UK leaders in the Gen AI space 🇬🇧 Congrats to everyone who made it onto the list - we’re proud to be setting the standard for reliable Digital Workers! @MoltenVentures

Meet Petros and Drew. It’s late, it’s dark outside, and they’re just heading home. Why? Because at causaLens, these legends don’t stop after the deal has been signed. We always want to make sure that all our customers get a x5 return on their investment. That’s where Petros comes in. As a dedicated Value Engineer, his role is to make sure every pilot turns into a lasting success by: → Identifying the right use case with measurable ROI → Embedding adoption so it sticks long after the pilot → Guaranteeing reliable outcomes - with 5x ROI proven in production Reliability isn’t just a nice-to-have. It’s a necessity for highly-regulated industries. AI should be judged by results - not just potential! And those results are built to last at causaLens.

Winning pharma RFPs has never been easier. 80% of a response can now be drafted in minutes. With the grunt work handled by Digital Workers, your team can focus on the strategic moves that actually win. Submit more bids without adding headcount. First drafts arrive complete, coherent, and in your brand voice. Every claim maps to an approved source - compliant and defensible. SMEs focus on strategy and differentiation, not copy-paste. The era of chaotic RFP scrambles is ending. Digital Workers cut cost per proposal, accelerate submissions, and free experts to focus on delivery. We are only just getting started. 🚀

🎉 Major Partnership: Leading Global airline selects causaLens to revolutionize pricing strategy with digital workers. THE RESULTS: . 66% faster analysis through automated uncertainty quantification . Real-time scaling across multiple markets . Up to 9.1% revenue uplift in test markets Game-changer: Successful pricing strategies now deploy network-wide in hours, not weeks → generating millions in additional revenue Our Digital Workers are transforming how enterprises make critical decisions at scale

Thrilled to welcome @PattersonGavin_ , former President & CRO of @salesforce and former CEO of @bt_uk , to our Advisory Board! As we continue to experience rapid growth, there’s no one better than Gavin to help us navigate the journey ahead. His wealth of experience in scaling global enterprises and driving innovation will be invaluable as we expand. Excited to have you on board, Gavin!

Unveiling a major breakthrough today: 10–100% improvements achieved on three core reasoning benchmarks. How? By fine-tuning LLMs to reason causally. At causaLens, our top priority is making digital workers truly reliable in the real world. And causal reasoning is a critical step toward that future. Today, I’m thrilled to unveil The CLAIRE Project. CLAIRE (Causal Logic in AI REasoning models) is about fine-tuning LLMs to think in terms of cause and effect, not just generate plausible text. Why it matters: Traditional LLMs often produce fluent but shallow answers, leading to hallucinations and fragile reasoning. With CLAIRE, we are teaching models to reason about why things happen. The results: ➡️ 10–100% improvements across 3 key reasoning benchmarks ➡️ More consistent, reliable outputs in real-world applications This is a big milestone on the path to reliable AI systems.

Annual offsite 2025 is a wrap! In the past 12 months: 190% net revenue retention achieved 2 major products launched, redefining how enterprises build and govern Digital Workers Multiple flagship logos won But the real story isn’t the metrics. It’s the shift. We are not just selling software. We are building a new labor model for the enterprise: Reliable Digital Workers, delivered at speed, governed with precision. We are only getting started.

We’re officially launching our Digital Worker Factory! Enterprises will soon find it impossible to compete without digital workers. Just as it became unthinkable to manufacture without machines. So our mission is simple. Help enterprises create reliable digital workers, from repetitive operational tasks to high-stakes strategic decision-making. Reliably & at scale. Over the years, we’ve built the foundations. Built the most powerful causal ai technology for strategic decision making. Automated data science workflows with AI agents Now, our Digital Worker Factory ties it all together. Enabling enterprises to automate operational & analytical workflows end-to-end, with reliability at scale. And it’s already delivering impact across industries: Automating sales territory assignment for pharma sales. Automating end-to-end macroeconomic analytics workflows for a Ministry of Economy. Automating grant variance intelligence & forecasting for clinical trial sites. Automating procurement & vendor onboarding workflows.

Introducing the Three Levels of Digital Labour Maturity! Where does your company stand? Level 1: Operational Digital Labour Automate routine, rule‑based tasks like data entry or transaction processing. Fast returns, lower risk. But also easy to fall behind. Agentic AI brings the flexibility needed to truly automate these tasks. Something that rigid, hard-coded approaches like RPA could never achieve. Level 2: Analytical Digital Labour Enable AI to reason, forecast, and make day-to-day decisions. From spotting demand trends to predicting clinical trial drop‑outs. This stage shifts operations from reactive to proactive Level 3: Strategic Digital Labour The rarest and most transformative form of AI. Systems that drive strategic, data-driven decision-making. Why are sales declining? What interventions will change the outcome? We began with Level 3 Digital Labour. Empowering organizations with data-driven decisions powered by causal reasoning. Next week, we’re taking a big leap forward with the launch of capabilities for Level 1 and Level 2 Digital Labour 👀

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