About
Built by researchers, for researchers
We're building the analysis layer that labs deserve — deterministic, transparent, AI-enhanced.
Acquilab was born from a simple frustration: why does it take longer to analyze instrument data than to collect it? Modern laboratories generate terabytes of spectral, chromatographic, and electrochemical data — yet most researchers still rely on manual workflows, legacy software, and Excel macros to extract results. We're changing that.
Our platform combines deterministic analysis algorithms with AI-powered interpretation to give you results that are both fast and trustworthy. Every peak, every calibration curve, every figure is traceable back to the raw data. No black boxes.
Open Science
We believe scientific tools should be accessible to every researcher, regardless of institution size or budget. Our free tier ensures core analysis is always available.
Reproducibility
Every analysis is deterministic and traceable. The same input always produces the same output. No black boxes, no hidden parameters.
Researcher-first
Built by scientists who understand the daily frustrations of data analysis. Every feature is designed around real laboratory workflows.
The team
Dr. Sofia Rennard
Co-founder & CEO
Former postdoc at MIT in analytical chemistry. 8 years of spectroscopy research. Frustrated enough with Excel-based workflows to build something better.
Dr. James Oduya
Co-founder & CTO
PhD in computational materials science from Stanford. Previously built ML pipelines for pharmaceutical discovery at a Series B startup.
Dr. Lena Hartmann
Head of Science
Former group leader at ETH Zurich specializing in electrochemistry and sensor development. Ensures every algorithm meets publication standards.