Project stage: In active build.
Where it stands now
The foundation is shipped. We are now building the agent runtime and live data ingestion.
- An AI agent each owner builds on the facts of their own business
- AI research that fills in a business's operating facts from the public web
- Competitor intelligence alongside customer questions
The starting point
Each business owner needed an AI agent built on the facts of their own business, to answer customer questions and capture inquiries.
What TDAT built
Business onboarding, AI research that fills in a business's operating facts from the public web, competitor intelligence, and a versioned Superagent builder. It runs on the same identity system as the AI Reviews consumer answer engine.
From AI Reviews, where Ownward started: an answer that shows its evidence
The consumer search experience connects a natural-language question to review-based answers and citations. Its claim-grounding workflow checks generated statements against cited reviews and uses not-confirmed labels for claims the available material cannot support.
The lesson for your build
The design lets the reader inspect the basis of an answer and see where it is uncertain. For a similar search product, test unsupported, conflicting and missing evidence as carefully as a clear match. A citation gives the reader something to check and does not guarantee the answer is correct. The business-agent runtime and live ingestion are a separate build stage.
Stuck somewhere similar?
Tell us what you built and where it is stuck. We will say what we would do next and what it would cost to find out.
Book a free consultation