Building Infrastructure for Biology

Make biological data reliable by default

Many instruments still export partial data after the run, leaving key context in notebooks or spreadsheets. We believe instrumentation should capture structured, timestamped data during execution, not after the fact.

Our focus is infrastructure that keeps protocol state, sample identity, and measurements in one record so teams can review outcomes with less manual reconstruction.

Why We Started CCA

CCA was founded to address a practical gap: experimental methods in biology have advanced quickly, while data infrastructure in many labs has not kept pace.

Environmental conditions are often under-recorded, sample provenance is difficult to audit, and run context is distributed across multiple systems. This makes troubleshooting and reproducibility harder than it should be.

We are building instrument-software systems that keep run context connected by default, so teams can spend less time on data plumbing and more time on biology.