deepsense.ai

“In every crisis, there's an opportunity… This is the time of disruption that will open up big opportunities - when with just a few people, you can build something and have a very quick time to market.” — Ned Taleb, Founder & CEO at B-Yond and Reailize We’ve seen this before - the dot-com crash, the 2008 crisis, even the pandemic - every wave of disruption reshaped industries and rewarded those who adapted fastest. #AI #AISafety #ResponsibleAI #Leadership

🚀 Live from London: OpenAI × deepsense.ai Executive Dinner & Discussion Tonight we’re bringing together AI and tech leaders from global enterprises — across healthcare, finance, media, manufacturing, and beyond — to talk about what really matters now: scaling AI beyond proofs of concept into real-world production. With voices from OpenAI, Docplanner, Sky, Allianz Group, Salesforce, Bayer Sp. z o.o., Virgin Media O2, AstraZeneca, Michelin, Hexagon AB, and many others - this evening is all about sharing lessons from the field and shaping what comes next for enterprise AI. The PoC era is over. Now it’s about AI that scales. #OpenAI #deepsenseai #AIatScale #GenerativeAI #EnterpriseAI #LondonAI #Innovation

A small fix in traditional software might take minutes - but in AI systems, it can mean rebuilding the whole architecture. That’s the real challenge today: making AI systems that work beyond the demo. The PoC era is over - it’s time to talk production and scale. “With generative AI, building a PoC is super easy — but building something scalable and reliable is a totally different thing,” as we discussed during our session with Karol Traczykowski (AP AI Solutions at Docplanner). 🎙️ This Thursday in London, during our OpenAI & deepsense.ai dinner, Karol Traczykowski, will join our fireside chat to share hard-won lessons from scaling agentic systems in production. Catch the full interview here 👉 https://lnkd.in/dVUmpBRg #AI #GenAI #ScalingAI #AIAgents #OpenAI #AIinProduction

🏆 deepsense.ai Wins AI Advisory Firm of the Year (Enterprise)! We’re proud to share that deepsense.ai has been named AI Advisory Firm of the Year (Enterprise) at the European AI Awards | Wolves Summit! The jury’s decision followed our presentation of use cases, recognizing our role as a trusted AI advisor delivering enterprise impact across software, technology, pharma, healthcare, telco, and legal sectors. It’s a strong signal for the industry. The real challenge in AI today isn’t the technology itself; it’s creating lasting value for businesses and users, and ensuring every solution is future-proof before the first line of code. We dedicate this award to everyone helping cut through the AI hype and make it a reliable, value-driven technology - one project at a time. Thank you for the great conversations and for making this evening so special — Thom Barnhardt, Andrea Bandirali, Annalisa Mortellaro, Andreas Constantin Fischer, Anna Rabiej, and especially Alessandro Lombardi for the amazing photos (and all the discussions about vintage watches)! #AIAdvisory #EnterpriseAI #GenAI #LLMs #AIleadership #WolvesSummit #AIawards

🚀 This Wednesday we’re running an AI session for pros. Why pros? Because this isn’t another hype panel or generic “from LLMs to agents” intro - it’s a deep dive into real lessons from the field: deploying AI agents for global enterprises and ambitious scale-ups. We’ll be joined by CTOs, Directors of Engineering, Senior ML Engineers, and AI Product Leaders from across industries - tech, finance, manufacturing, and healthcare - all comparing how they’re scaling agentic systems beyond the demo stage. If you or someone on your team cares about what actually breaks in production (and what doesn’t) - this one’s for you. 👉 Learn more and register here: https://lnkd.in/dufHiEHJ

Our tech leads regularly attend events like OpenAI DevDay Exchange London - where the focus was on AgentKit, Codex, and the developer community shaping what’s next. This time, Artur Zygadło attended the event and brought some fresh ideas. Great live demos from Wulfie Bain, informative AMA session with Romain Huet and Katia Gil Guzman, and interesting booths on AgentKit and Sora (well done Danny W.!) We do it to stay close to the source - to understand what’s coming, what’s real, and what’s still experimental. But here’s the thing we’ve learned from hundreds of enterprise projects: 💡 Great ROI doesn’t always require the newest technology. Sometimes the best solution is the one that’s already proven, integrated, and scalable within your existing stack. Our role as an OpenAI Services Partner is to stay informed - not to chase every launch, but to choose what’s best, most reliable, and future-proof for each client’s context. That means combining: - Hands-on experience with ChatGPT Enterprise, RAG, and agentic systems - Early access to OpenAI updates and features - Focus on scalability and ROI, not hype Innovation matters - but judgment matters more. Thank you, Marc Montanari, Danny W., and Rino Mura for the invitation and your hospitality! And thank you, Sarah Urbonas, for the on-stage picture! #AIEngineering #OpenAI #EnterpriseAI #LLM #AIstrategy #AIleadership

⚽ What happens when you turn terabytes of raw tracking data into something you can talk to? In one of our recent projects, a leading sports tech company wanted just that - and we built a multi-agent system that transformed their football analytics into a structured, conversational knowledge base. It’s a great example of how far agentic systems have come p and how much harder it is to scale them beyond proof-of-concept. That’s why we’re hosting: 🎯 AI Agents for PROs: Lessons Learned in the Field 📅 October 29, 2025 | Virtual 🔗 https://lnkd.in/dKgUVmDu Join Rafał Łabędzki, Ph.D. and Mateusz Wosiński from deepsense.ai for a private session sharing: 1. Architectures and frameworks that actually scale 2. How to evaluate, observe, and control costs in agentic systems 3. Real case studies (like our sports analytics project) — what worked, what didn’t No theory. No sales pitch. Just field-tested practices from real deployments.

In pharma, the hardest part of a negotiation isn’t the meeting - it’s the preparation. One of Europe’s multi-billion-dollar pharma leaders came to us with a familiar challenge: 👉 Every reimbursement round meant weeks of manual research, combing through past cases, competitor outcomes, and complex drug data. Traditional search tools couldn’t handle nuance - success required interpreting, not just retrieving, information. So, we built a Pricing Copilot - a RAG system powered by large language models. It reads and reasons across thousands of pages, summarizing insights, highlighting key precedents, and automating analysis that once consumed entire teams. ✅ Result: preparation time slashed, decisions better informed, and negotiators free to focus on strategy - not spreadsheets. This is what we mean by applied AI in life sciences: systems that don’t just sound smart, but deliver measurable impact inside regulated workflows. Over the last decade, we’ve helped global pharma and healthcare companies use AI to accelerate discovery, optimize trials, and improve healthcare outcomes - from AI-driven imaging biomarkers to LLM copilots for research and operations. If you’re building next-generation tools for drug development, clinical operations, or pricing strategy, deepsense.ai can help you turn AI from exploration into execution. Learn more here: 👉 https://lnkd.in/dSafJtmi