Triplets is built for the questions you can't afford to get wrong — the ones that span several documents, where the facts are verifiable, and where close enough is not good enough.
If a typical question needs three or more documents to answer correctly, Triplets is built for it.
Your product's roadmap is blocked by hallucination risk. Embed Triplets as your reliability layer and ship the accuracy story your enterprise buyers keep asking for — under your own brand.
You run one AI platform for many internal use cases. Replace per-team prompt patches and eval firefighting with a single reliability layer, governed centrally.
Your AI answers reach your clients' end users, where one wrong answer becomes a client escalation. Reliability stops being a feature and becomes part of the contract.
The question spans a formulary, an interaction database, and a protocol. A generic RAG system retrieves the closest-looking chunk and answers with confidence. Triplets answers the deterministic parts deterministically, walks the verified interactions, and refuses the moment the data will not support the claim.
Contracts and policy corpora contradict each other on purpose. Triplets surfaces conflicting clauses with full provenance for an attorney to review. Knowing that two sources disagree is itself the answer.
Coverage logic, policy terms, and claims rules are full of exact values that should never be paraphrased. Triplets answers those deterministically and reserves generation for the genuinely open questions.
A client question touches a holdings statement, a disclosure, and a suitability rule. Triplets answers exact figures deterministically, holds generation to disclosed terms, and refuses when the data won't support a recommendation.
Tax questions live across code sections, prior filings, and jurisdiction rules that change every year. The wrong citation is exposure. Triplets answers from verified sources and flags when a question crosses into uncovered territory.
Citizen and caseworker questions span statutes, eligibility rules, and program docs that often conflict. Triplets surfaces conflicts with provenance, answers eligibility logic deterministically, and declines rather than guess on a benefit or a right.
Submission and labeling questions span study reports, regulatory guidance, and prior correspondence, where an unsupported claim is a regulatory risk. Triplets answers from verified records and refuses at the boundary instead of inventing across it.
An analyst question pulls from advisories, asset inventories, and prior incidents, where a confident wrong answer sends the response in the wrong direction. Triplets stays bound to what is verified — what is known, not what is plausible.
Equipment manuals, specs, and maintenance knowledge run to thousands of entity-rich documents where the right answer is buried across several. Triplets models the entities and relationships once, then answers across them without guessing in the gaps.
Support questions span product docs, release notes, and known issues that contradict each other across versions. Triplets resolves against the verified, version-correct source and refuses when the docs genuinely don't say — instead of inventing a step.
We tell you this up front, because a reliability layer that oversells its own fit is a contradiction.
There is no verifiable fact to constrain against.
These need different correctness machinery.
Streams, very short corpora, or non-text data are outside what Triplets is built to model.
If your corpus is a poor match, the 48-hour proof will show it — and we'll tell you before you spend a dollar.
Forty-eight hours later you'll know exactly what a reliability layer is worth on your data. No commitment, no integration work, no slideware.