Berlin-based software startup sci2sci has raised €1.2 million in pre-Seed funding. The company will use the money to expand its technology for organising and checking data in industries where strict rules and regulations apply.
The funding round was co-led by Heliad and IBB Ventures. Robin Capital and Superangels also participated in the round.
Valerii Kremnev, co-founder and CTO of sci2sci, explained that the company’s approach is designed to build verification and traceability into AI workflows: “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.”
sci2sci was founded by Angelina Lesnikova and Valerii Kremnev. The company is building software that helps businesses connect information from different sources and check whether data and AI-generated results are supported by reliable evidence.
The company first focused on the biopharma industry. In this sector, important research and regulatory information is often spread across PDFs, spreadsheets, laboratory notes, and different software systems.
Because the information is stored in many different places, it can be difficult for companies to trace findings back to their original sources. This can create problems during regulatory checks and audits. AI tools can make the issue worse when they use incomplete or inconsistent data.
sci2sci’s Integrity Cortex helps solve this problem by bringing company documents, data, and AI-generated information together in one structured system. It connects claims to their original sources and checks citations and conclusions.
The platform also creates an auditable record that is designed to meet 21 CFR Part 11 requirements for electronic records. Integrity Cortex is built on Parseltongue, a framework that sci2sci open-sourced this year under the Apache 2.0 licence.
The company’s second product, VectorCat, works as a data integration layer. It connects information from cloud storage, network drives, and laboratory systems without requiring companies to move their existing data. It then creates a searchable catalogue that employees and AI applications can use.
