Locate the defect.
CRE identifies the unsupported, incoherent, or improperly bounded element.
Coherence identifies, contains, and repairs unreliable AI output.
Its proprietary reliability architecture sits between AI generation and user reliance. When controlled repair is possible, Coherence preserves the original candidate and shows the reliability-enhanced replacement side by side. When outside input is still required, the limitation remains explicit.
Works across models, tools, search, documents, and enterprise workflows.
Models, tools, documents, and workflows contribute intelligent candidate material. CRE controls the path from candidate generation to reliability-enhanced output.
Fluent generation, search, documents, specialist tools, and human input remain candidate material.
CRE identifies what cannot safely survive, contains unresolved candidates, and controls repair and final-gate behavior.
A sound candidate may pass unchanged. A repairable defect is constrained and checked again. Missing outside input remains explicit.
The original response turned a complex legal development into a universal conclusion. It was not ready for the client, presentation, report, research paper, or decision memo.
CRE contained the overclaim, defined what had to change, and required the replacement to be checked again before release.
CRE identifies the unsupported, incoherent, or improperly bounded element.
The unreliable candidate remains reviewable but cannot quietly become the reliability-enhanced answer.
A replacement is generated inside CRE-defined constraints and checked again.
A response can be mostly useful and still contain one polished defect that changes the decision. CRE is built for the failures hiding beneath confident language.
A made-up fact or detail can feel real because everything around it sounds sensible.
A polished citation may point nowhere or fail to support the claim beside it.
Known facts, probabilities, opinions, and forecasts can arrive with equal confidence.
A suggestion can sound like policy, or a weak source can inherit an expert tone.
Incomplete evidence is compressed into one clean narrative that looks safer than it is.
A shaky assumption survives, the scope expands, or a conditional request becomes a conclusion.
CRE is implemented as a separated deterministic engine boundary around probabilistic generation. The public architecture explains responsibility, integration, and operational evidence without publishing proprietary adjudication mechanics.
Coherence is the consumer and professional AI workspace designed around CRE. Leading models, advanced search, documents, and specialist tools contribute candidate material; CRE retains control over admissibility and release.
Use Coherence for proposals, decision memos, reports, plans, and executive synthesis where scope and authority matter.
Use advanced information sources as candidate evidence while CRE preserves the distinction between retrieval and support.
Plan, compare, write, and investigate with a visible reliability path behind the response.
Coherence is the current flagship product implementation. Enterprise and standalone API packaging are designed for future release. Invaris AI has filed two U.S. provisional patent applications covering aspects of the CRE architecture.
Coherence brings intelligent generation and the Coherence Reliability Engine into one complete workspace.