Wellvector is the data mining engine for unstructured well data: LLM-aided ingestion pipelines that turn decades of scattered files into wellbore schematics, populated tables and the figures a Plug & Abandonment (P&A) team needs. It creates verified abandonment program components in seconds, with audit trails back to every source document. The engine does the mining, an engineer verifies, and the whole team works from one source of truth. Behind every well sits the same problem: engineers spend up to 90% of their time reading through old, inconsistent documents to get a clear picture before the work can begin. As the industry moves toward large-scale decommissioning, that is a large and growing opportunity. Built for the industry, by the industry. Serving the North Sea and the global decommissioning market.
| Website | https://wellvector.ai/ |
| Employees | 8 (2 on RocketReach) |
| Founded | 2025 |
| Industry | Software Development |
| Keywords | Document Processing, Natural Language Processing Data, Data Transformation, Machine Learning Data, Data Enrichment, Data Processing, Ai Data Services, Data Cleaning, Data Wrangling, Data Engineering |
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Henrik Tingström is the Co-Founder of Wellvector.
2 people are employed at Wellvector.