Governed scientific design
Zentari turns scientific briefs into candidate designs, material-function records and partner-ready evidence packs. Each result carries its assumptions, scores, approvals and provenance, so teams can see why a candidate should move into validation.
How it works
A brief becomes structured inputs. Candidates are generated, scored and promoted through explicit gates. Solver outputs, scorecards and handoff records stay attached to the same programme, so claims remain traceable.
Intent, constraints and review criteria enter as a structured programme of typed inputs.
Structured programmeCandidate geometries, carrier manifests and material records are generated with provenance from the first revision.
Design thread · manifestReal solvers (OpenFOAM CFD, Brownian and Stokesian dynamics) produce solver-backed fields and mobility evidence.
Solver fieldsFast models with calibrated uncertainty rank candidates and focus expensive truth runs where they matter.
Ranked frontierMulti-objective scoring and explicit approval gates govern expensive compute and promotions.
Scorecard · audit recordA partner-ready evidence pack ships with provenance attached; claims trace to their runs.
Evidence packProduct family
Scaffold Intelligence, Nano and Quantum Materials use the same evidence-first discipline: candidates are scored, claims are qualified and handoff packs state what is known, assumed and unresolved.
Scaffold-agnostic structure design
Turns scaffold objectives into candidate geometries, solver-backed scorecards and validation-ready partner packs.
Nano carriers and molecular devices
Turns carrier objectives into candidate manifests, mobility evidence, actuation schedules and measured-data learning loops.
Material-function engine
Turns material-function briefs into molecule, protein, motif and coating candidates, with rights-gated evidence and assay-ready proof packs.
Direction
Three products come first. Each earns the evidence, the data and the maturity a foundation model would have to stand on — so the model is a destination the ecosystem reaches, not a promise it opens with. We are building the ground before the thing that rests on it.
Scaffold-agnostic structure design lays the first ground: OpenUSD design threads, solver-backed scorecards and partner validation packs. Every candidate that passes its gates is provenance the model could later learn from.
Lays the groundNano carriers and molecular devices add motion and matter at a smaller scale — carrier manifests, movement plans and mobility evidence from CFD, Brownian and Stokesian dynamics. Different physics, the same evidence discipline, feeding the same record.
Extends into motionThe material-function engine closes the loop from intent to function — rights-gated, quantum-native task planning resolved into Function Proof Packs. It turns measured outcomes into the kind of structured, governed data a foundation model needs.
Closes the loopThe three lines are sequenced toward one end. When their evidence, data and maturity reach the bar, the streams converge — and not before. The order is the point: ecosystem first, foundation model last. It is a gate, not a date.
The convergence
Built last, on the evidence the ecosystem has already recorded. Scaffold Intelligence, Nano and Quantum Materials are not features waiting on a model; they are how the model earns the right to exist. We will name it, and date it, when the proof records say it is ready — and the same rule holds: proof before claims. Until then it stays exactly where it belongs, at the end of the row.
Built last · Gated on maturityThe evidence comes first. The model is where it converges.
Under the hood
The capabilities reduce guesswork before expensive validation begins.
OpenFOAM runs on promoted candidates; shear and velocity claims trace to solver-backed records.
Gradient-boosting and Gaussian-process surrogates with calibrated uncertainty screen candidates ahead of truth runs.
Candidates are explored against competing objectives, and the search surfaces the Pareto frontier.
A compute governor stands between intent and expensive work; truth runs and promotions pass through its gate.
Geometry, manifests, solver outputs and scorecards retain provenance; claims trace back to their runs.
Review surfaces are built for someone else to trust: evidence assembled, gated and exported as a package.
Operating doctrine
Claims move from hypothesis and simulation toward measured partner data without blurring the boundary.
Truth runs and learning loops pass through explicit gates and audit records.
Evidence packs carry assumptions, provenance and open validation questions beside the result.
Contact
Working on structured foods, carriers, material functions or validation-heavy design? Tell us about your programme and we will map it to the evidence route.
founders@zentari.bio Scaffold Intelligence · Nano · Quantum Materials · shared evidence