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ScienceMachine

Q: How much does ScienceMachine cost?

No public rate card retrieved this session. Sold to biotech and pharma; the company plans to move upmarket to larger biopharma where contract values are larger, implying enterprise contract pricing.

Q: Who is ScienceMachine for?

Biotech startups, Pharma and biopharma research teams, Wet lab scientists and life sciences labs

Also known as: Science Machine, Science Machine Inc, Sam (AI bioinformatician)

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Data analyst agentindependentVerified 2026-07-08

Fully autonomous AI bioinformatician (Sam) that automates the entire biotech data analysis pipeline from raw data to visual insights.

ScienceMachine is a London and San Francisco based startup building a fully autonomous AI bioinformatician for biotech and pharma. Its flagship agent, Sam, works around the clock as an always on data scientist, automating the entire data analysis pipeline from cleaning and structuring through statistical analysis to visualization. Sam integrates directly with existing lab databases and workflows and continuously processes raw experimental data without manual intervention, identifying differentially expressed genes, uncovering patterns, and generating visual insights that would normally require a full team of data scientists. The company positions agent based AI as the emerging standard interface for scientific software, giving wet lab scientists access to sophisticated bioinformatics regardless of their data science training so they can turn raw data into research breakthroughs in hours instead of months.

Vendor details

Canonical URL

https://sciencemachine.ai

Funding status

Pre-seed round of 3.5 million dollars (reported as 2.9 million euros), announced July 2025, led by Revent and Nucleus Capital with participation from Juniper and strategic angels, per Tech.eu, EU-Startups, and the Nucleus announcement. Founded 2024 to 2025 by Lorenzo Sani (CEO) and Benjamin Tenmann, London based with a San Francisco office and a Newark, Delaware legal entity; ran on a team of two at the raise and was already used by biotech customers.

Company status

independent

Use cases & customers

Primary use cases

Autonomous bioinformatics data analysisExperimental data cleaning and structuringStatistical analysis and visualizationAccelerating biotech and pharma research

Target customers

Biotech startupsPharma and biopharma research teamsWet lab scientists and life sciences labs

Deployment options

SaaSIntegrates with existing lab databases and workflows

Integrations

Sam integrates directly with a research team's existing lab databases and workflows, continuously ingesting experimental data to process it end to end.

Sources & related URLs

Research sources

https://tech.eu/2025/07/09/sciencemachine-raises-35m-for-leading-autonomous-ai-in-biotech-research/ https://www.eu-startups.com/2025/07/london-based-sciencemachine-raises-e2-9-million-for-biotech-analysis-with-a-team-of-only-two-and-without-spending-a-cent-on-marketing/ https://medium.com/@nucleuscapital/why-we-invested-in-sciencemachine-f88b1d01ddcb

Capability coverage

6.0 / 14 capabilities · 43%

Integrations & Tool CallingSam integrates directly with a research team's existing lab databases and workflows to ingest experimental data, though the breadth of named connectors was not detailed this session.	Partial
Workflow OrchestrationSam automates the entire data analysis pipeline end to end, from cleaning and structuring through statistical analysis to visualization, continuously and autonomously per Vestbee and EU-Startups.	Full
Knowledge Grounding & RAGSam grounds its analysis in the research team's own experimental data and lab databases, running domain specific bioinformatics such as identifying differentially expressed genes and uncovering patterns per Vestbee.	Full
Human Oversight & GuardrailsScientists review the insights and visualizations Sam produces and decide how to act on them, though the analysis pipeline itself runs autonomously without a documented formal approval gate.	Partial
Security, Identity & GovernanceSam handles sensitive research data within customer lab workflows, implying a baseline security posture, but no named infosec certification was retrieved this session.	Partial
Observability & AuditabilitySam generates visual insights and analysis outputs from raw data, giving researchers visibility into findings, though formal run level auditability was not detailed this session.	Partial
Memory & State PersistenceSam continuously processes experimental data over time within a research team's workflow, implying ongoing state, though an explicit persistent memory store was not documented this session.	Partial
Deployment & Data ResidencySam integrates into a research team's existing lab databases and workflows, working where the data lives, but explicit self hosting or data residency options were not detailed this session.	Partial
Prebuilt Agents / Templates / PacksThe product is a single autonomous agent, Sam; no catalog of prebuilt agents or templates was documented this session.	Unable to verify
Triggers & Channel CoverageSam works around the clock, continuously processing new experimental data as it arrives, an ongoing data driven trigger, but without multichannel communication coverage.	Partial
Model Flexibility & RoutingNo customer selectable model or model routing was documented this session; the autonomous agent is provided as the product.	Unable to verify
APIs / SDKs / MCP ExtensibilityNo public developer API, SDK, or MCP endpoint was documented this session; the agent integrates into lab data environments rather than exposing a build surface.	Unable to verify
Testing, Debugging & OptimizationThe company describes production grade AI automation whose outputs scientists validate against research standards, an accuracy and human validation loop rather than a formal agent evaluation framework.	Partial
Browser / Computer-useNo browser driving or computer use capability; Sam processes data within lab systems rather than operating a browser or GUI.	Unable to verify

Recent platform changes

No recent material changes tracked yet.

View all changes for ScienceMachine →

Pricing

Custom (contact sales)

Contact onlyMedium variable cost

Cost watchouts

Pricing was not disclosed; the company plans to move upmarket to larger biopharma where contract values are higher, and compute for continuous analysis may factor into cost.

Variable cost rationale

Continuous autonomous analysis implies compute driven cost, and enterprise contract values scale with the size of the biopharma customer; the unit was not retrieved this session.

Sales call required

Yes — required for paid access

Key ambiguities

No public entry price or unit of pricing; sold through enterprise engagements with biotech and pharma.

Verified 2026-07-08

Official pricing page

Data confidence: high