Candidate manifest
Carrier morphology, objectives, schedules and provenance live in a typed manifest.
Nano carriers
Zentari Nano turns a carrier brief into designs that are evaluated by real CFD, Brownian and Stokesian dynamics, scored against objectives, and improved through a closed loop where every handoff validates before it advances.
Body, surface, mobility profile and executable schedule stay tied to one carrier id.
OpenFOAM, Brownian dynamics and Stokesian dynamics provide in-silico evidence.
Contracts cap evidence claims honestly until measured hardware data raises the level.
What it does
The product is built around one carrier id: design, explanation, actuation, observed failure and redesign remain connected.
Zentari Nano co-optimises carrier geometry and behaviour, then evaluates the result through physics-backed lanes instead of unverifiable agent prose. The contract layer keeps the system honest: a simulated result cannot claim measured evidence.
When hardware or microscopy evidence is available, the same object model absorbs it as a higher evidence level and feeds the redesign loop. Until then, the product is explicit about where the sim-to-real gap remains open.
Workflow
Generate carrier body, surface, morphology and movement candidates together.
Compile a validated evidence pack with scores, assumptions and traceable claims.
Emit a field schedule that can run through a real-rig seam when hardware is attached.
Invert a failed trajectory or microscopy clip into redesign pressure.
Rank candidates on benchmark criteria and expose the unresolved sim-to-real gap.
Evidence surface
Carrier morphology, objectives, schedules and provenance live in a typed manifest.
OpenFOAM, Brownian dynamics and Stokesian dynamics produce in-silico mobility records.
The contracts separate simulated evidence from real hardware measurements by construction.
Contact
We can map your carrier objective, actuation idea or validation constraint to the Nano evidence route.
founders@zentari.bio