Optimization OS
Single-file research & assurance workbench: metaheuristics, statistics, provenance, governance.
Strategic brief · License · OEM · Acquisition
OptOS is a provenance-native optimization workbench. Every result is seeded, statistically graded, and SHA-256 sealed. Don't take the claims below on trust — verify them in this browser, then talk to us about terms.
Why this is an asset, not a demo
Agentic systems now make consequential choices — allocations, schedules, designs, trades — faster than any human can review. The scarce thing is no longer a better answer. It's an answer a regulator, a board, or a counterparty will accept. OptOS produces that: a graded, reproducible, cryptographically sealed record for every optimization it runs.
Live · running in your browser · nothing leaves this tab
Three things a buyer should be able to check without a sales call: that runs are reproducible, that the provenance chain is real cryptography, and that no claim floats free of its evidence. All three are below, computed client-side.
Real Mulberry32 PRNG + Rastrigin objective. Log-scale best-so-far. Illustrative solvers — the full suite ships in the Research Edition.
Edit any field: its hash and the root change. This is the same primitive OptOS uses to seal an evidence package.
Where the defensibility actually lives
Select a layer to see what it is — and how hard it is to replicate credibly.
The honesty ledger · applied to ourselves
Most decks hide the line between what runs today and what's aspirational. We draw it in ink, because a buyer who trusts the ledger trusts the product. Filter it:
| Capability | Status | Tier |
|---|---|---|
| Solvers — VNS, Adaptive VNS, ILS, Tabu-SA, surrogate search | Shipped | |
| Exact statistics — Welch, Cohen's d, Mann–Whitney, bootstrap CIs | Shipped | |
| SHA-256 + Merkle sealing, PROV-O / RO-Crate export | Shipped | |
| Session RBAC, policy gates, kill-switch, audit ledger | Shipped | |
| Research modules — world model, continual learning, self-twin | Internal | |
| Multi-tenant enterprise runtime + language SDKs | Roadmap | |
| Probabilistic decision layer (Bayesian / causal) | Vision | |
| Named third-party adapters (GPU, agent / MCP platforms) | Roadmap |
Benchmark 1.0 — public performance metrics are sealed pending independent registry approval, and will publish with full protocol, environment, and sample size. Architectural facts and the live demos above are available now.
Positioning · not integration claims
Complementary to exact solvers and to agent control planes — it's the assurance layer beneath them. We name categories, not partnerships we haven't signed. No adapters are claimed as shipped.
Single-file research & assurance workbench: metaheuristics, statistics, provenance, governance.
The I–V grading welded into every result — a discipline, not a separate download.
Planned Bayesian / causal expansion. Not built. Named here as direction, tiered V.
Four ways to transact
Terms scale with commitment. Ranges below are structuring frameworks for the conversation, not a published price list — every engagement is scoped to deployment, support, and exclusivity.
The workbench, unlocked for evaluation and internal research.
The OptOS engine embedded inside your product, under your brand, with the evidence layer intact.
Multi-tenant deployment when the runtime ships. Charter customers shape it.
Source, IP, evidence framework, and roadmap — assigned. For buyers making assurance a platform capability.
For serious diligence
The public brief is deliberately conservative — every metric here is verifiable or sealed. Serious licensees and acquirers get the rest, sealed the same way this page is:
The single-file design, module boundaries, and how the evidence layer is welded into the runtime.
Full Benchmark 1.0 methodology — environments, sample sizes, statistical tests, and tiering rules.
PROV-O / RO-Crate mapping, Merkle sealing scheme, and the export format a regulator would accept.
RBAC, policy gates, autonomy kill-switch, and audit-ledger design for regulated deployment.
What's owned, what's licensed in, and the tier-graded plan from Research Edition to enterprise runtime.
Public metrics release on independent registry approval — buyers see the sealed set under NDA first.
Role-based adaptation · enterprise value, shown
An illustrative permission model — Administrator, Researcher, Operator, Auditor. Governance is not a feature bolted on for procurement; it's why regulated buyers can deploy at all. Static mock, not a live account.
The rule that makes the rest credible
The evidence badges in the ledger above are clickable — each shows the protocol, sample size, date, and tier behind the claim. That inspector is the product's core loop, exposed on the marketing page.
Request access · honestly routed
Research Edition evaluation is self-serve. Licensing, OEM, and acquisition are scoping conversations — this form sorts you into the right queue. Nothing is transmitted while you fill it in; your details are sent to our submission service only when you submit.
You saw shipped versus roadmap, ran the crypto, and reproduced a seeded search — no deck required. That's the whole argument: an optimization asset whose claims survive inspection.