Systems that takeknowledge work seriously.
Cells don't simplify complexity. They engineer systems sophisticated enough to handle it. So do we.
Write to usHow we think
- Important work happens inside messy systems.
- Software should help people think, not just complete tasks.
- AI works best as infrastructure, not as a feature.
- Clarity is a design constraint, not a goal.
The company came out of science, specifically biology. That shapes how we build: as a systems problem, not a features problem.
Biology trains you to work with incomplete information, feedback loops, and interconnected systems. We apply that same approach to software.
Consequential decisions don't happen in clean, orderly systems.
What we build
- Knowledge SystemsSoftware for organizing and querying dense domain knowledge — across documents, databases, and unstructured literature.
- Decision SupportTools that surface the right information at decision points, without losing it to noise or fragmentation.
- AI-Guided ExperiencesProducts where AI reasons through complexity rather than retrieving answers.
- Operational IntelligenceSoftware for multi-step, document-heavy workflows that generic tools handle poorly.