Zero-Trust Edge Architecture
Why a molecular workflow should keep sensitive structures, model execution, and review inside a boundary the team controls.
Technical perspectives on molecular intelligence architecture, scientific validation, model development, and early product workflows.
Why a molecular workflow should keep sensitive structures, model execution, and review inside a boundary the team controls.
A condition-aware approach to estimating optical rotation without separating a number from the measurement that gives it meaning.
Connecting sequence and structure representations in both directions to propose better-scoped protein hypotheses.
A controlled private-alpha path for research teams who want to evaluate an edge-native molecular workflow on a real problem.
A versioned interface for teams that need to connect molecular inputs, local inference, and reviewable outputs to their own tools.