Nordlys – GenAI-Powered Supplier Intelligence for Industrial Procurement
- Year2026
- CategoryRising Innovators
- StageSemifinalist
Chief Executive Officer
Chief Operations Officer
Chief Information Officer
Chief Product Officer & Lead ML Scientist
Chief AI Officer
Growth Strategy Manager
Data Scientist
Data Scientist
We applied to GenAI Zürich because we believe the most impactful generative AI won't replace what we Google — it will transform the industries that still run on phone calls and spreadsheets. Industrial procurement is a $12T market with near-zero AI penetration. We built Nordlys to demonstrate that frontier embedding architectures, applied to unglamorous but structurally complex B2B verticals, can deliver measurable, production-grade results. GenAI Zürich is the right stage to show that domain-specific AI is not a niche, it is the next frontier.
Lapo Chirici
Chief Information Officer
Industrial procurement in Oil & Gas, Energy, Aerospace, and Advanced Manufacturing still runs on manual scouting and static supplier databases. Over 65% of supply chains remain locked with the same vendors for decades. General-purpose AI fails here: matching a Bill of Materials requires parsing metallurgical specs, certifications, process capabilities, and business constraints — not keywords.
Nordlys is a B2B SaaS platform built on a proprietary multimodal embedding pipeline. Each supplier is represented by at least four independent semantic vectors (services, products, industry context, long-form description), trained using Matryoshka Representation Learning — enabling adaptive dimensionality from 64 to 768 dimensions for speed-accuracy balance. When a buyer uploads a BOM (Excel, PDF, or CAD/CAM files), our engine projects it into the same vector space and computes a weighted composite similarity score across all four fields. A final LLM reranking layer (R_LLM, scored 0–3 by Gemini for task-result coherence) multiplies the vector score to produce a unique, non-tied ranking — with every decision traceable. Business filters (geographic, revenues from Chamber of Commerce data, lead time, financial health, references, ESG compliance) gate the final output.
Our system achieves 70%+ matching accuracy versus a 25% baseline with keyword tools — a +45 percentage point delta validated through a proprietary multi-LLM evaluation framework. In 2025 we completed 11 paid proof-of-concepts generating €175K in revenue, including a strategic pilot with a global OEM (772 components, T54 product line). All data processing is GDPR-compliant, hosted on EU infrastructure, with planned migration to Switzerland. A proprietary industrial LLM is in development for Q3-Q4 2026 release.
Shape the future of GenAI in Switzerland and beyond
Join us for the next edition of GenAI Zürich to learn about latest developments in the field, network with like-minded professionals and gain deeper insights into GenAI applications reshaping both our professional and personal lives.