ScienceMachine
Autonomous AI agent for biotech data analysis.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
* | $3.5m | Seed | |
| Total Funding | 000k | ||
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ScienceMachine is a London-based AI startup, founded in 2024 by CEO Lorenzo Sani and Benjamin Tenmann, that is developing an autonomous AI agent to accelerate data analysis for the biotech and pharmaceutical industries. Sani has a background in computer science, while Tenmann is a biologist and machine learning engineer who previously built tools for scientists at BenevolentAI.
The company's core product is 'Sam', an AI agent described as a 24/7 autonomous bioinformatician. Sam automates the entire data analysis pipeline, from data cleaning and structuring to exploratory analysis and visualization, without requiring manual intervention. The platform integrates directly with clients' existing databases and lab workflows, processing experimental data continuously to identify patterns and insights. This service is designed to address a key bottleneck in biomedical research: the overwhelming volume of complex biological data coupled with a shortage of data scientists. ScienceMachine aims to provide researchers with the output of an entire data science team, turning raw data into discoveries in hours instead of months and reducing data turnaround times by up to 70%.
The business operates on a subscription model, offering both a free, basic plan and a customizable enterprise-level service. The enterprise plan includes tailored research integrations, increased computing resources, and dedicated support. The company targets mid-size biotech companies and plans to expand into larger pharmaceutical firms, where the need for scalable data automation is greater. In July 2025, ScienceMachine raised $3.5 million in a pre-seed funding round led by Revent and Nucleus Capital to support product development and team expansion, particularly in sales and pharma partnerships.
Keywords: AI bioinformatician, autonomous AI agent, biotech data analysis, pharmaceutical research, biomedical discovery, automated data analysis, computational biology, scientific workflow automation, AI for drug discovery, research and development efficiency, life sciences AI, bioinformatics platform, data-driven research, machine learning in biology, lab data automation, scientific discovery acceleration, preclinical insight development, reproducible research, agent-based AI, biological data visualization