AI Models
AI for Life Sciences

Accelerate discovery from bench to market.

Read the literature faster, structure research knowledge and draft documentation — so scientists spend more time on science.

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Life Sciences assistant
Compare the methods used in these five papers and note key limitations.
Comparison table ready: sample sizes, assays and endpoints, with limitations noted for each and citations to the relevant sections.
Ask anything…
The challenge

What holds life sciences teams back

  • Literature overload

    Thousands of papers, too few hours.

  • Documentation burden

    Protocols, reports and submissions take months.

  • Siloed knowledge

    Insights stay trapped in individual teams.

Use cases

Six ways to put AI to work, today

Accelerate discovery from bench to market.

  • Literature reviews

    Summarise and compare papers with citations.

  • Protocol drafting

    Structured first drafts from your templates.

  • Research Q&A

    Ask questions of internal reports and data.

  • Regulatory drafting

    Assemble documentation sections faster.

  • Code for analysis

    Generate and explain analysis scripts.

  • Medical writing

    Clear summaries for different audiences.

How it works

From first prompt to everyday workflow

  1. 01

    Load sources

    Papers, reports and templates.

  2. 02

    Explore

    Ask, compare and summarise.

  3. 03

    Draft

    Generate documentation sections.

  4. 04

    Verify

    Scientists review every claim.

Agents & skills

Agents built for life sciences

Give an agent a goal and it plans the steps, uses the skills you grant and reports back — with approvals wherever you want a human in the loop.

  • Literature reviews: Summarise and compare papers with citations.
  • Protocol drafting: Structured first drafts from your templates.
  • Research Q&A: Ask questions of internal reports and data.
Explore agents
Agent run · live

  1. Understand

    Intent & context

    Done

  2. Plan

    Break into steps

    Done

  3. Act

    Run skills & tools

    Running

  4. Deliver

    Verified result

    Queued
Outcomes

What changes when you switch it on

  • Outcome 1

    Faster insight

    Literature digested in hours, not weeks.

  • Outcome 2

    Documentation momentum

    Drafts ready for expert review sooner.

  • Outcome 3

    Connected knowledge

    Teams build on each other’s work.

Under the hood

Foundational models, plus proprietary architecture

Every leading open model family, made sharper by the layer we built around them.

  • Routing

    The best model for each request, automatically.

  • Memory

    Your life sciences context, remembered securely.

  • Skills

    Search, read, write and call your own tools.

  • Agents

    Goal-driven workers with guardrails.

Security posture

All controls healthy

Continuously monitored

  • Encryption in transit & at rest
  • SSO & scoped API keys
  • Audit logs for every action
  • Your data never trains shared models
Security & control

Enterprise-grade from day one

  • Your data is never used to train shared models
  • Encryption in transit and at rest
  • Roles, scoped API keys and approval steps
  • Audit logs, SSO and private deployment options on higher plans
Read about our security →
FAQ

Life Sciences questions, answered

Are summaries reliable?

They are cited to sources so experts can verify every claim.

Is proprietary research protected?

Yes. Private workspaces and no training on your data.

Can it handle long documents?

Yes. Long-context models handle full papers and reports.

Do you offer private deployment?

Yes, on Enterprise.

Bring AI to life sciences — today

Start free with 2M tokens every month. Upgrade when you are ready.

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