Niko Groeneweg

Leading technology and AI strategy for AXA's Computable Contracts business unit, turning insurance policies into computable, agentic digital assets that handle claims at scale. → Industrializing AI claims processing: Deliver agentic workflows and a production platform processing 2M+ claims annually across multiple AXA entities with directly measurable P&L impact. → Agentic Industrialization: Inherited a 30+ person cross-border product organization (France, Spain, Switzerland) and strenghtened it for scaling and AI-augmented workflows by redefining roles, delivery practices, and how engineers work alongside agents and LLMs. → Making insurance computable by design: Partnering with entity CIOs to replace legacy infrastructure with AI-native engines.

Built and launched Impala Hub's B2B sustainability intelligence platform from the ground up, combining structured supplier data with GenAI to power procurement decisions for global brands. → Product & launch: Designed and shipped the core platform end-to-end. Built one of the largest structured databases of sustainable suppliers in the plastics industry. Launched across 3+ markets with named enterprise partnerships. → Early GenAI adoption: Pioneered LLM-powered intelligence for material procurement before mainstream adoption, automating insights from fragmented sustainability data. → Founder-mode delivery: Hands-on technical lead operating across Europe and Asia, owning architecture, product roadmap, and commercial alignment.

Co-founded a boutique AI and product strategy unit as a spin-off from the Astek Group. Acquired 15 clients in the first 12 months and led acquisition due diligence on a target consulting firm to accelerate growth.

Co-founded and shipped four AI-driven products across B2B and B2C from Singapore. Built, launched, and iterated rapidly across verticals ; from AI-powered recruitment to consumer photography. The following three projects gained traction and were profitable : → Cryptogenes: Consumer-trust API for crypto-asset trading, built on proprietary auditing algorithms published with the University of Freiburg. Exchanges audited represented €230B/annum in turnover. → Jobhackers: LinkedIn network-based job discovery platform, scaled to thousands of monthly active users. → EveryMe: Early AI photography product, thousands of active users - started before the generative AI wave hit mainstream, scaled when the first StableDiffusion models hit the market

Scaled Lyfe, a digital health B2B SaaS platform, from early product into a major distribution channel within CNP's insurance ecosystem. → Growth: Grew the platform to 100s of thousands of subscribers and onboarded €100M+ in strategic partnerships with major insurers → Product expansion: Integrated two new B2C digital services into the platform, including call-center & telemedicine capabilities (teleconsultation booths), aligning complex technical delivery with healthcare compliance requirements.

Joined as an early technical hire and built the AI-driven product ecosystem from the ground up. Designed and implemented AI-based patient coaching programs and clinical decision engines. Scaled the team from 5 to 25, integrating engineers, data scientists, designers, and clinical experts into a single product organization. → AI-powered clinical products: Designed and shipped AI-based patient coaching systems, a remote monitoring platform for cardiac surgery patients, and a lifestyle improvement program for obese patients with AP-HP (Hôpital Bichat) ; all deployed in production clinical settings. → Measurable patient outcomes: Products delivered clinically validated improvements in HbA1c, body weight, and waist circumference ; published-grade results in a regulated healthcare environment. → Enterprise client base: Sold into major hospitals, insurers, banks, and CAC40 companies, building the pre-sales and stakeholder relationships from the technical side.

Worked on applied computer vision research within the Intelligent Systems Lab. Developed early prototypes for real-time classification on mobile devices in collaboration with academic and industry partners. Technologies: Python, Java Focus areas: Computer vision · Model prototyping · Academic–industry collaboration

Contributed to applied research in computer vision and pattern recognition at Siemens’ global R&D hub. Supported the development of early AI applications in industrial automation and medical imaging. Technologies: C++, Python Focus areas: Image classification · Applied research · Industrial AI systems