Science is how we make progress on the world’s hardest problems. Yet much of scientific work today remains slow, fragmented, and difficult to interpret over time.
Experimental results are scattered across tools and formats. Decisions, assumptions, and prior attempts fade as projects evolve. Even highly capable teams spend disproportionate effort coordinating work instead of learning from it.
Labtree exists to change how scientific work is structured, interpreted, and carried forward.
We are building foundational infrastructure for modern biotech R&D – an integrated system that brings experimental context, collaboration, and intelligence into a shared environment. One where scientific work remains coherent as it grows in complexity, and where insight compounds rather than disappears.
We believe scientific progress depends on a few core principles:
Every experiment should be traceable, comparable, and auditable by default.
Teams need continuous visibility across experiments, projects, and decisions.
In the age of AI, intelligence must be grounded in real experimental context, internal data, and scientific precedent.
Reproducibility, collaboration, and security are properties of the system itself.
Design is central to this mission.
In science, clarity is operational. Trust is earned through transparency. Intent is expressed through structure.
Every interaction should reduce cognitive load.
Every interface should guide scientific judgment.
Every system decision should support rigor rather than obscure it.
Our goal is to build infrastructure that the most rigorous scientific teams can rely on – software that reflects how science actually works, and that earns trust through precision, context, and thoughtful design.
Backed by incredible investors and operators
We’re proud to be backed by investors, engineers, and scientists who believe biotech needs better infrastructure, and that now is the time to build it.
Meet the Team
We have experienced the friction of fragmented workflows, missing context, and fragile handoffs between experiments, analysis, and decision-making. We have also seen programs delayed or stopped entirely when experimental history could not be reconstructed with sufficient clarity – including cases where promising drug candidates were pulled due to gaps in documentation, traceability, or institutional memory.
Across roles in biotech, research, and product development, we have seen how easily scientific insight is lost when systems are not designed to preserve it.
What unites us is a shared conviction that the way scientific work is done can be fundamentally improved – and that meaningful progress requires systems, not point solutions.
Labtree is the result of that conviction.
We have brought together deep experience in biotech and research with a battle-tested product and engineering team to build from first principles. The result is infrastructure that is secure by design, grounded in real scientific workflows, and capable of supporting both day-to-day experimentation and long-term, high-stakes decisions.