Our view
We treat process knowledge as the core problem in automated experimentation: whether a whole run can be trusted, how new methods are integrated, and whether the output is a result someone can use.
Autonomy is a spectrum, and the success of a whole protocol matters more than a high score on one step. Selling trusted experimental results can matter more than selling machine time.
01
End-to-end runs
Protocols that work reliably from start to finish, not just in one step.
02
New assays
The demanding work of integrating new methods without breaking trust.
03
Usable results
Outputs a scientist or clinician can actually rely on.
The limits we keep in view
- Hardware matters. Reliable process matters more.
- Integrating new assays is slow and demanding.
- A fast result that cannot be trusted is not a result.