Zentari family

Nano carriers

Carrier designs with traceable simulation, movement plans and validation boundaries.

Zentari Nano turns carrier objectives into designs evaluated by CFD, Brownian dynamics and Stokesian dynamics, then packages the assumptions, mobility evidence and open validation gaps. Built for teams developing microcarriers, functional carriers, field-responsive particles or validation-heavy delivery systems.

  • Design object Carrier manifest and movement plan

    Body, surface, mobility profile and executable schedule stay tied to one carrier id.

  • Truth lanes CFD plus stochastic dynamics

    OpenFOAM, Brownian dynamics and Stokesian dynamics provide in-silico evidence.

  • Output Carrier Handoff Pack

    Contracts cap evidence claims honestly until measured hardware data raises the level.

What it does

A carrier compiler with an honest learning loop.

The product is built around one carrier id: design, explanation, actuation, observed failure and redesign remain connected.

Zentari Nano co-optimises carrier geometry and movement behaviour, then evaluates the result through physics-backed lanes instead of unverifiable agent prose. The evidence 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.

  • Co-optimises carrier body, coatings, mobility objectives and movement schedules.
  • Runs CFD and stochastic dynamics behind injectable execution interfaces.
  • Compiles Carrier Handoff Packs with qualified claims and objective scorecards.
  • Turns observed failure clips or run results into redesign inputs for the next candidate.

Workflow

One carrier, one closed loop.

  1. 01

    Design

    Generate carrier body, surface, morphology and movement candidates together.

  2. 02

    Explain

    Compile a Carrier Handoff Pack with scores, assumptions and traceable claims.

  3. 03

    Actuate

    Emit an actuation schedule that can run through a hardware interface when a test rig is attached.

  4. 04

    Learn

    Invert a failed trajectory or microscopy clip into redesign pressure.

  5. 05

    Compete

    Rank candidates on benchmark criteria and expose the unresolved sim-to-real gap.

Evidence surface

Carrier claims with measured-data boundaries.

Candidate manifest

Carrier morphology, objectives, schedules and provenance live in a typed manifest.

Mobility evidence

OpenFOAM, Brownian dynamics and Stokesian dynamics produce in-silico mobility records.

Measured-data boundary

The contracts separate simulated evidence from real hardware measurements by construction.

Contact

Bring a carrier brief into the loop.

We can map your carrier objective, actuation idea or validation constraint to the Nano evidence route.

founders@zentari.bio