Turn Experimental Work Into

Turn Experimental Work Into

Turn Experimental Work Into

Scientific Judgement

Scientific Judgement

Labtree is an AI-native intelligence layer for biotech R&D – grounding reasoning in real experimental context and scientific evidence, as work unfolds.

Created and supported by scientists from academia and the industry

Created and supported by scientists from academia and the industry

Created and supported by scientists from academia and the industry

The context layer for

scientific work

Experimental work is interpreted continuously, with structure and meaning preserved as scientific context evolves over time

Context-native intelligence

AI operates inside experimental workflows, capturing scientific context as work progresses.

Continuously aware

Understanding evolves alongside experiments, protocols, results, and decisions.

Designed for judgment

Supports scientific reasoning where interpretation, trade-offs, and uncertainty matter.

Serious by design

Built around real laboratory practices and the realities of experimental work.

Built for troubleshooting and

scientific judgment

Analysis, reasoning, and troubleshooting occur alongside active experiments, supporting decisions while outcomes are still being shaped

Reasoning as work unfolds

Insights surface while experiments are running, not after the fact.

Built-in troubleshooting

Flags inconsistencies, risks, and deviations as conditions change.

Assumptions stay visible

Decision logic, prior attempts, and context remain attached to the work.

Supports iteration

Helps teams adapt faster without losing scientific rigor.

Grounded in evidence,

inside and outside your lab

Internal experimental data is combined with scientific precedent and external research to inform context-aware reasoning

Internal experimental memory

Reasons over your own experiments, protocols, and historical outcomes.

Broad external knowledge

Continuously connected to a wide corpus of scientific literature and research data.

Unified knowledge graph

Internal and external evidence are linked into a single, traceable context.

Inspectable by default

Every suggestion can be traced back to data, experiments, or literature.

One system,

built for focus and efficiency

Scientific work, project coordination, and execution operate within a single, shared system to reduce operational friction

Jack

Jack

Hanna

Hanna

Jack

Hanna

Science and execution together

Experiments, documents, tasks, and projects live in the same system.

Reduced tool sprawl

Fewer handoffs, fewer integrations, fewer points of failure.

Designed to scale with teams

Supports fast-moving startups and complex organizations without added overhead.

Built for capital efficiency

Because in biotech, every dollar and every decision matters.

Building someting in biotech?

Talk to us.

Building someting in biotech?

Talk to us.

Building someting in biotech?

Talk to us.