Investment: “sci2sci raises €1.2M”
sci2sci develops software that connects and verifies fragmented enterprise data, providing traceable information for AI and regulatory workflows in biopharma and other regulated industries. Berlin-based software startup sci2sci has raised €1.2 million in pre-seed funding in a round co-led by Heliad and IBB Ventures.
The round included participation from Robin Capital and Superangels.
Founded by Angelina Lesnikova and Valerii Kremnev, sci2sci initially focused on the biopharma sector, where research and regulatory information is often spread across PDFs, spreadsheets, laboratory notes and multiple disconnected systems. The company’s Integrity Cortex connects information from company documents, data and AI outputs into a structured network, linking claims to their sources, verifying citations and conclusions, and providing an auditable record designed to comply with 21 CFR Part 11 requirements for electronic records.
Integrity Cortex is built on Parseltongue, a framework sci2sci open-sourced this year under the Apache 2.0 licence. The company’s second product, VectorCat, serves as a data integration layer that connects information stored across cloud storage, network drives and laboratory systems without requiring companies to migrate the underlying data, creating a searchable catalogue accessible to employees and AI applications. sci2sci is already working with customers across preclinical research, contract clinical research and bioprocess operations.
The funding will be used to expand the engineering team, deepen existing deployments and reach additional biopharma customers, and the company also plans to extend Integrity Cortex into other regulated industries, including banking.
“Instead of shipping capabilities first and patching trust and security afterward, we built Parseltongue and Integrity Cortex to permit only safe outputs. A model’s lockpicking skills are useless when there’s no door — and our software guarantees there is none. The same holds for deception: our systems don’t have ungrounded statements as a primitive. The model is forced to produce evidence for every claim it makes.”
