ScienceMachine

ScienceMachine is an AI-powered platform developed by Science Machine Inc. that automates end-to-end biomedical research workflows — from raw data ingestion to final report generation — enabling researchers to analyse scientific data up to 100 times faster. Designed for R&D teams in life sciences, ScienceMachine deploys intelligent AI agents that learn your specific research context, integrate with your existing tools and data sources, and operate continuously to deliver high-quality outputs cost-effectively.

Unlike general-purpose chatbots, ScienceMachine is built to handle complex, bespoke scientific workflows. It is trusted by researchers worldwide and backed by enterprise-grade security, dedicated expert support, and a commitment to full transparency and reproducibility.

Core Workflow Capabilities

• Mass Spectrometry Processing: Automated analysis of mass spectrometry data to identify key peptides.
• Flow Cytometry Processing: Automated analysis of flow cytometry data to identify distinct cell populations.
• Report Generation: Automated creation of reports and presentation slides directly from research data.
• Result Interpretation: Deep, automated interpretation of experimental results grounded in referenced scientific literature.
• Data Analysis and Visualization: Automatic formatting, analysis, and visualization of research results.

Key Platform Features

• Your Own AI Agent: The AI learns your specific research focus, guidelines, and preferences, becoming a tailored member of your team over time.
• Deeply Integrated: ScienceMachine connects directly to your existing data sources, tools, and workflows, enabling seamless automation without disrupting established processes.
• Transparent and Reproducible: Every line of code and every decision made by the AI is accessible to users, ensuring full reproducibility and researcher control — no black boxes.
• World-Class Expert Support: A dedicated team of domain experts with knowledge of your specific science and research is available to ensure high-quality outputs and researcher peace of mind.
• Secure and Private: Data never leaves your cloud environment and is never shared with third parties, with full privacy and encryption enabled by default.

Enterprise-Grade Security

• Never used for training: Users retain full ownership of their inputs and outputs; enterprise data is never used to train ScienceMachine's models.
• Enterprise encryption: All data is protected with enterprise-grade encryption practices, trusted by dozens of life sciences companies.
• Never shared with others: Each customer's data and computation is fully isolated, with no cross-contamination between users.

Pricing Plans

• Free Plan ($0, Free Forever): Includes standard data processing, generic capabilities, and basic security and privacy. Does not include expert support, custom integrations, or large file sizes.
• Enterprise Plan (Custom Pricing): Provides a full-scale AI agent tailored to your research, increased compute resources, custom integrations, dedicated expert support, enterprise-grade security, enterprise encryption, and guarantees that data is never used for training or shared with others.

Research and Publications

• BixBench: A comprehensive benchmark for LLM-based agents in computational biology, developed in collaboration with FutureHouse.
• BioML-bench: An evaluation of AI agents for end-to-end biomedical machine learning, authored by Henry E. Miller, Matthew Greenig, Benjamin Tenmann, and Bo Wang.
• Written with ScienceMachine: A peer-reviewed study titled A novel glucose beta-hydroxybutyrate combination improves hypoglycaemia recovery and patient-reported outcomes in type 1 diabetes, published in Diabetes, Obesity and Metabolism (2025) by D. Russell-Jones MBBS et al.

ScienceMachine is positioned at the frontier of AI automation in biomedical research, having established benchmarks for AI agents in the field. The platform is available via a free demo with no credit card required, and enterprise deployments are supported with dedicated onboarding and expert guidance to ensure teams can quickly integrate AI automation into their research operations.