Labtree offers a platform that captures and organizes the often‑unpublished details of bench work—failed conditions, protocol tweaks, and expert judgments—into a searchable knowledge base. By structuring this hidden experimental data, scientists can more easily reason about past work, improve reproducibility, and accelerate future research.
Funding
Funding not disclosed
Founders
Product
Problem
Experimental scientists often lose valuable knowledge because failed experiments, protocol tweaks, and expert judgments are not systematically recorded, making it difficult to reuse prior work or avoid repeating mistakes.
Solution
Labtree provides a knowledge‑graph platform that captures this hidden experimental metadata in real time as scientists work progresses. By structuring failed conditions, protocol adjustments, and decision rationales as linked data, the system enables searchable queries and automated reasoning over past bench work. Integrated APIs allow the platform to hook into existing lab information systems and electronic lab notebooks, ensuring seamless provenance capture without disrupting workflows. The resulting graph can be used to generate hypotheses, predict outcomes, and streamline experiment planning, thereby accelerating research cycles and reducing redundant effort.
Target Audience
Primary users are research scientists and laboratory managers in biotech, pharmaceutical, and academic research institutions who need to preserve and leverage detailed experimental provenance.
Features
- Real‑time capture of experimental metadata (failed runs, protocol changes, expert notes) via native integrations with lab software
- Graph‑based knowledge representation that links reagents, conditions, and outcomes for flexible querying
- API and SDK for embedding data capture into existing electronic lab notebooks and LIMS
- Automated reasoning engine that suggests relevant prior experiments and predicts likely success based on historical data
- Secure, role‑based access control and audit logging to protect intellectual property
- Export functions supporting standard data formats (CSV, JSON, RDF) for downstream analysis