Company · Scientific purpose
Build intelligence that knows what it knows.
Zentari is building a computational science product suite in which every design, model, solver result and recommendation retains its provenance and evidence boundary.
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Computational STL render, not microscopy. Printability and wet-lab performance remain unvalidated.Open evidence →
Make computational science easier to challenge, reproduce and improve.
How we work
Four commitments.
Scientific credibility is an interface and architecture decision, not a disclaimer added at the end.
Evidence before adjectives
Actual fields, traces, reports and uncertainty lead product communication.
Unsupported superlatives and decorative science imagery are excluded.
One source of truth
Reviewed, committed repository state controls public claims and deployment artifacts.
Working branches, ignored outputs and server-only edits do not become public evidence.
Abstention is capability
AI, optimisation and solvers stop when applicability, evidence or authority is missing.
A blocked claim can be a successful product outcome.
Laboratory partnership
Simulation becomes more valuable when a partner can independently challenge it.
Measurement retains its own custody, controls and uncertainty.