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Germany · AI · Enterprise software
An AI data-governance platform for biotech and pharma that connects fragmented research and operational data, preserves its lineage and permissions, and grounds AI-assisted work in verifiable evidence.
sci2sci builds VectorCat, a data-governance AI platform for biotech and pharmaceutical organizations. It connects information held in electronic lab notebooks, sequencing-file stores, spreadsheets, business-intelligence dashboards and contract research organization systems, while leaving data in its existing locations. The platform maps both data-processing and documentation lineage so teams can understand where information came from and how it was transformed.
VectorCat combines search, curation, data harmonization and AI-assisted research under existing access policies. Its Integrity Cortex layer represents extracted facts and relationships as versionable, traceable knowledge; it tracks downstream dependencies when facts change and attaches source evidence to AI outputs. The company says it uses its system internally in production and is developing customer rollouts as a hypothesis-driven process, placing the product at an early commercial stage for regulated life-sciences workflows.
| Announced | Round | Amount | Investors |
|---|---|---|---|
| Pre-Seed | €1.2M | Heliad — ParticipantIBB Ventures — ParticipantRobin Capital — ParticipantSuperangels — Participant |