Stratus turns the knowledge inside your experts’ heads into certified, auditable, machine-executable workflows — assets your enterprise owns, running in agents only you control.
AI usage, billed per token. Captured by model providers and hyperscalers. Commodity economics — prices falling, field crowded.
AI training, sold as expert-hours to frontier labs. People-intensive — and the expertise flows out, into models everyone rents.
Institutional knowledge made executable, owned, and auditable. The certified workflow is the unit — and the column is open. This is the Stratus lane.
Enterprise AI spending has entered its accountability phase. Spend that cannot prove its outcome is being cut — and governance tooling is what survives review.
Of 2,145 senior leaders surveyed report established AI ROI. The rest are still explaining the spend.
Of agentic AI projects projected to be canceled by 2027 on cost, value, and risk. Every canceled pilot is budget in search of governance and proof of value.
Agents in use at the average Fortune 500 by 2028, up from fewer than fifteen in 2025. The sprawl is arriving faster than any governance layer built to manage it.
The question in the room is no longer whether AI works. It is why the money isn’t coming back — and the answer lives at the workflow level, where Stratus operates.
The fabric is built once. It reaches market as an extraction agent first, operates as an enterprise platform second, and licenses into other vendors’ products third.
Automated process discovery, built on a patent-pending Lean Six Sigma interview discipline. The work a black belt did across weeks of interviews, performed in software — producing certified, executable workflows your enterprise owns.
Governs any agent fleet on any platform: activity, accuracy, cost, trust, and audit. The neutral infrastructure beneath every agent management platform — with cryptographic provenance and deterministic replay built into the substrate.
The same routing and quality fabric, licensed inside third-party host platforms — gateways, agent frameworks, MLOps, vertical software. The per-transaction metering that powers royalty billing is itself claimed machinery.
One asset — the certified workflow — three meters. The customer owns their expertise: captured content is theirs forever. What they license is the engine that runs it. Their knowledge; our machine.
The extraction agent conducts the interview a process-improvement expert used to conduct. What comes out the other side is a certified workflow — the billable unit.
In plain English. The extraction agent probes for gaps, exceptions, and edge cases using a patent-pending interview discipline — the tacit knowledge surfaces.
Plain-English descriptions compile into COG™ — a patent-pending workflow notation where every symbol is a runtime instruction, not documentation.
Multiple AI models adjudicate the captured workflow for fidelity to expert intent. The output executes on any model — with every step hash-chained and replayable.
Any captured workflow re-runs on next-generation models — and that portability is claimed in the patent estate. Every execution feeds a learning loop: the captured workflow gets cheaper and more accurate every time it runs. Capture is the wedge. The execution fabric is the moat.
Filed across every seam of the fabric — capture, notation, execution, audit, embedding, and federation — engineered as interoperable building blocks, designed to recombine into product configurations beyond the first.
Eleven USPTO filings spanning the stack, including a non-provisional under active examination. Modular by design: the blocks recombine without new filings.
The market has validated neutral governance. Stratus extends neutrality beneath the management layer — into capture, execution, audit, and licensing.
Routing evidence accumulates with every transaction and federates across licensees — a network effect competitors start from zero on.
Deterministic replay and cryptographic provenance are deployment preconditions in regulated industries — not premium features.
Certification builds a practitioner ecosystem around the workflow discipline. Once captured in COG notation, switching means re-extracting everything.
Gartner’s March 2026 research named the Agent Management Platform category and rated it Transformational. Stratus operates the neutral infrastructure beneath that layer — and holds the one position nobody else occupies.
Existing platforms begin with agents that already exist. Stratus begins with human expertise — and capture is the position nobody holds.
Loren Douglass founded Stratus Data Systems after forty years spanning enterprise technology and operations, finance and capital markets, and international economics and international law. He is the inventor of record on all eleven USPTO filings comprising the Stratus patent estate, and the author of the AI² book series. Stratus develops from bwtech@UMBC in Maryland.
Goldman Sachs · Merrill Lynch · AIG · GE · Deloitte Consulting
Wharton, MBA · Johns Hopkins SAIS, MA · Johns Hopkins, BEE
MD Economic Council · Council on Foreign Relations · The Economic Club of New York
Electrical Engineering · Finance & Capital Markets · International Economics · International Law & Policy
The foundational volume. Augmented Intelligence as a professional discipline, not a consumer technology.
The COG™ framework working handbook — the workflow discipline inside the Stratus fabric, documented.
The institutional volume. How firms reorganize around captured, governed intelligence. In development.
Stratus is engaging a limited set of design partners in professional services, regulated financial institutions, and organizations facing documented knowledge-loss risk. For partnership, investment, or press inquiries, reach out directly.