REGINALD eliminates AI hallucination at the source — for publishers, AI providers, and enterprises.
When a customer asks an AI agent about your product, the AI reads your COG and gives the right answer — your price, your features, your specifications. Not a hallucinated version scraped from an outdated blog post.
Every AI hallucination about your product generates a support ticket. COGs eliminate the hallucination at the source.
Machines are dream customers. They convert at extraordinary rates, do not abandon carts, and require no retargeting. But only if they have correct product data.
AI systems that learn to trust your COG as the authoritative source for your product create a durable competitive moat. Computational trust, once established, is difficult for competitors to displace.
The 40,000-token troubleshooting cascade becomes a 200-token correct answer. At scale, this is measured in millions of dollars annually.
Provenanced answers from attested sources are qualitatively different from probabilistic inference. A measurable quality differentiator where accuracy is the primary competitive axis.
REGINALD-addressable waste represents 15.6 TWh by 2030 — equivalent to removing 1.6 million cars from the road. Publishable data for ESG reporting.
Early engagement positions the provider to shape how machine-readable documentation standards develop. Analogous to early participation in Schema.org or OpenAPI.
Private COGs ensure your internal AI tools give correct answers about your own systems. No more hallucinated API endpoints, no more fictional configuration options.
Every COG has a named maintainer, a review cycle, and an expiry date. Cryptographic attestation creates a chain of provenance — who published this, when, and has it been modified.