The organizational intelligence market doesn't exist yet. We're building it — with 18 patent-pending inventions, a published methodology, a working implementation, and a thesis that the knowledge graph, not the model, is the competitive advantage.
Everyone else is buying AI and hoping it makes their organization smart. We built the methods that make the organization intelligent. The AI is the last mile, not the first.
The enterprise software market is spending billions on AI — but virtually all of it flows to model providers and prompt-engineering wrappers. The actual problem isn't intelligence. It's organizational fog: enterprises can't see their own structure, operations, knowledge, and interdependencies.
OACIS clears the fog. Not with a bigger model, but with better data — structured, governed, ontology-grounded, and queryable. The knowledge graph compounds in value over time. The model layer is replaceable.
This is the same pattern that created the DevOps market: Infrastructure as Code didn't make servers smarter. It made infrastructure visible, versionable, and reproducible. OACIS does the same for the entire organization.
OACIS sits at the intersection of three massive markets — but competes in none of them directly. We don't sell a knowledge management tool, a contact center platform, or an AI model. We sell the intelligence layer that makes all three work together.
Agencies with dozens of siloed systems, compliance mandates (FedRAMP, StateRAMP, CMMC), and multi-vendor contact centers. The governance grid and trust hierarchy map directly to government data classification requirements.
Highly regulated, multi-division organizations with cross-division fraud exposure. ACORD/FIBO ontology support provides industry-standard vocabulary out of the box.
HL7 FHIR ontology integration, HIPAA-grade confidentiality classification (C-3/C-4), and cross-system patient journey mapping through the knowledge graph.
Any organization with 5+ major vendor platforms and the pain of operational knowledge trapped inside each one. The Canary Migration Pattern turns vendor transitions from multi-year risks into measured, reversible operations.
This isn't a slide deck. It's a working system with published intellectual property.
10 architecture + 8 implementation patents filed as USPTO provisionals
OACIS, Organizations as Code, OACIS Conveyor — 4 USPTO classes
24 chapters establishing methodology, prior art, and public disclosure
CX-AIO, BIZ-AIO, LEGAL-AIO, COMPLY-AIO, SECURE-AIO — shared graph
18 inventions spanning the full stack — from knowledge ingestion (Conveyor) through governance (Trust Hierarchy + Governance Grid) to application (Fraud Detection, Threat Graph). Competitors would need to license or design around every layer.
The Ontology Subscription Service (Invention 10) improves with every subscriber. Mapping accuracy compounds. This creates a data network effect — the more organizations use OACIS, the better the ontology becomes for everyone.
The book creates credibility, establishes prior art dates, and serves as a go-to-market channel. Technical leaders read the book, recognize their organization's problems, and call us. The book sells the consulting; the consulting sells the platform.
Built entirely on PostgreSQL and open-source extensions. No proprietary database dependency. This isn't just a technical choice — it's a sales advantage. Government and enterprise buyers increasingly mandate open-source infrastructure.
The founder has direct experience managing contact center operations, procurement, and vendor migrations for state government — the exact pain point OACIS solves. The methodology comes from real operational problems, not academic theory.
NEAR-TERM
OrgIntel Assessments, executive workshops, keynote speaking, and implementation engagements. Revenue-generating immediately with minimal overhead.
MID-TERM
Annual license for the OACIS platform — Conveyor pipeline, knowledge graph, governance grid, and AIO subsystems. On-premise or hosted. Per-organization pricing.
LONG-TERM
Recurring revenue from curated, continuously-updated domain ontology packages and pre-built platform translators. Network-effect pricing — early subscribers get locked-in rates.
Capital will be deployed across four priorities:
File non-provisional patent applications for highest-priority inventions. Estimated $10K–$25K per invention for full prosecution through USPTO.
Accelerate platform development — Conveyor pipeline hardening, additional platform adapters, ontology expansion, and production deployment tooling.
Conference speaking, industry publication, pilot customer acquisition. The book serves as the primary lead-generation tool.
Legal entity formation, accounting, insurance, infrastructure hosting for demos and pilot customers.
If you're an investor, strategic partner, or potential pilot customer interested in organizational intelligence, we'd like to hear from you.