sci2sci Raises €1.2 Million for AI Verification Software

September 08, 2026
Berlin startup sci2sci raised €1.2 million to expand software that traces AI generated claims to source data in regulated industries.

sci2sci raised €1.2 million in pre seed funding to expand its data verification software for regulated industries, according to Tech.eu. Heliad and IBB Ventures jointly led the round, with participation from Robin Capital and Superangels.

The Berlin startup initially focuses on biopharma, where research and regulatory records are often spread across documents, spreadsheets, laboratory notes and separate systems. Its Integrity Cortex product connects claims to source material and verifies citations and conclusions, creating an audit record designed to meet 21 CFR Part 11 requirements for electronic records.

Its second product, VectorCat, connects information held in cloud storage, network drives and laboratory systems without moving the underlying data. Sci2sci will use the funding to expand its engineering team, support more biopharma customers and bring Integrity Cortex to other regulated sectors, including banking.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Funding Brief, Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Funding News Healthcare & Life Sciences AI AI Brief AI Brief (X)

More from: Funding

09/08
Outline Raises $3M for AI Financial Planning Agents
09/08
Magnar Raises $8 Million to Expand Legal AI in Brazil and Mexico
09/08
BrightPlan Closes First Part of Series C Round Led by ABS Capital
09/08
Quantinuum Finalizes $100 Million CHIPS Funding Agreement
09/08
Shoot 360 raises $7 million led by COPA Innovation Laboratories

More from: Life Sciences

09/08
Memorial Hermann Uses Epic AI to Explain Test Results
09/08
Trust AI Integrates VELMENI Dental Imaging With Isaac PracticeOS
09/08
Flysound Launches B02 AI Hearing Aid in the US
09/07
Rentosertib Study Finds Lower Predicted Biological Age in IPF Trial
09/07
Sky Labs Presents CART Blood Pressure Studies at ESC 2026

Subscribe to AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You May Also Like