Company profile
ScienceMachine
AI automation platform for regulated pharmaceutical research.
- Category
- Healthcare AI
- Headquarters
- San Francisco
- Sells to
- Research
- Business model
- Freemium, SaaS subscription
- Deployment
- Cloud / SaaS
- Pricing
- Tiered · free tier
- Builds own models
- Yes
- Modalities
- Tabular, Text
What ScienceMachine does
ScienceMachine is an AI automation platform for regulated pharmaceutical research, helping streamline the manual, time-consuming work that slows it down. It automates end-to-end processes from raw biomedical data to final reports, giving PhD-trained researchers back time spent on low-level busy work. The platform integrates deeply with existing tools, data, and workflows, tailoring AI to specific research needs with expert support and enterprise-grade security.
Key capabilities
- AI agents for end-to-end automation
- Adaptable to various workflows
- AI that learns specific research, guidelines, and preferences
- Deeply integrated with data sources and existing tools
- Secure & Private: data never leaves cloud environment, never shared, full privacy and encryption
- World-Class Expert Support
- Transparent & Reproducible: access to code and AI decisions
- Enterprise-Grade Security: data never used for training, enterprise encryption, isolated computation
- Plans for every stage: Free, Pro, Team, Enterprise
Use cases
- Processing raw biomedical data
- Auto-generating reports and slides from data
- Automated analysis of mass spectrometry data to identify key peptides
- Automated analysis of flow cytometry data to identify cell populations
- Automated deep interpretation of results based on referenced literature
- Automatically format, analyze and visualize results
AI approach
ScienceMachine provides an AI automation platform for regulated pharmaceutical research. It uses AI agents to automate end-to-end workflows from raw biomedical data to final reports. The AI learns about specific research, guidelines, and preferences, and integrates deeply with existing tools and data sources. It emphasizes transparency and reproducibility, giving users access to code and AI decisions. The company states that enterprise data is never used for training models.
Tech named: AI agents, LLM-based Agents
Industries served
- Biotechnology Research
- Pharmaceutical Research
- Life Sciences
What it says sets it apart
- AI that actually works for complex, bespoke research workflows
- Your own AI Agent: learns specific research, guidelines, preferences
- Deeply Integrated: connected directly to data sources, uses existing tools/workflows
- Secure & Private: data never leaves cloud, never shared, full privacy/encryption
- World-Class Expert Support: team knows specific science and research
- Transparent & Reproducible: access to code and AI decisions
- Enterprise-Grade Security: data never used for training, enterprise encryption, isolated computation
Funding rounds we track
Revent, Nucleus Capital
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from ScienceMachine's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.