sci2sci
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.
Connect life-sciences data without moving it
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.
Search, audit and AI with context
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.
- Headquarters
- Berlin, Germany
- Product
- VectorCat data governance platform and Integrity Cortex knowledge layer
- Initial market
- Biotech and pharmaceutical companies
Funding history
1 round · 1 with disclosed amounts| Announced | Round | Amount | Investors |
|---|---|---|---|
| Pre-Seed | €1.2M | Heliad — LeadIBB Ventures — LeadRobin Capital — ParticipantSuperangels — Participant |