Know more. Go further. Achieve more.

Wellvector started at the University of Stavanger (UiS). With early backing from Innovation Norway, we set out to unlock decades of well data held by the UK National Data Repository (NDR) and the Norwegian Offshore Directorate (Sodir). Our aim was to make that data usable for faster exploration and sharper offset-well risk analysis.

From Founders House and KTH Royal Institute of Technology, we added machine-learning researchers to the team. That gave us deep expertise in the formats subsurface data actually comes in: PDF, TIFF, LAS, CSV, PowerPoint and more.

With it we built an ingestion pipeline that combines retrieval (RAG) with a knowledge graph and handles more than 30 data formats. On top of it, we give leading AI models specialised skills and tools that the Wellvector team designed and refined. We also closed our pre-seed round with:

• Seasoned angel investors from drilling and wells
• Silicon Valley scout funds
• Validé AS in Stavanger

Working with Exceed, we got ready to build and launch Wellmine, our flagship product. We raised Seed funding from Frontrow Energy Group (Aberdeen) and Toshi (Stockholm).

Wellmine went live in September. Within weeks, Wellvector was running pilots with 10 operators across the UKCS, the NCS and the Middle East.