AI without hallucinations

Trustworthy AI for critical decisions.

Cogentis AI builds systems where every answer is grounded in verifiable knowledge, formal reasoning, and traceable outputs. We remove LLM authority from decision-making and make reliability the default.

Request briefing See the architecture

Decision-grade AI No unverifiable answers

Traceable outputs Sources + reasoning

Enterprise ready Audit-first design

System guarantees

Knowledge is structured with explicit sources.
Reasoning is formal and reproducible.
Every answer is traceable and auditable.
If the system cannot prove it, it stays silent.

Trust stack

Verified knowledge Rules-based inference Explainable responses LLM as interface only

Market reality

Enterprise AI stalls without trust.

Companies already invest billions in GenAI, but critical workflows stay out of production because hallucinations cannot be allowed to drive business decisions.

Why it breaks

LLMs are optimized for plausibility, not truth. They must answer even when they do not know.

Hallucinations are architectural, not model flaws.
RAG reduces noise but cannot guarantee correctness.
Compliance teams need provenance and logic.

What the business needs

AI that can show: source, logic, conclusion. If any part is missing, the system must refuse to answer.

Auditability Explainability Regulatory fit Risk containment

Our pivot

We removed LLM authority from decisions.

Most teams try to make models smarter. We change the system so models can no longer decide. They only communicate results produced by verified knowledge and formal rules.

Structured knowledge layer

Every fact is stored with provenance and explicit constraints. No unverified text is allowed to drive decisions.

Rules-based inference

Reasoning follows formal rules that can be tested, replayed, and audited across scenarios.

Traceable output

Each answer links to its source and logic path. If the chain breaks, the system abstains.

How it works

From knowledge to decision, without improvisation.

Curate and structure knowledge

Ingest domain data, bind it to sources, and define allowed states and constraints.

Apply formal reasoning

Rules produce deterministic conclusions; every decision path is inspectable.

Validate the chain of proof

Any break in logic or missing source prevents the answer from being delivered.

Deliver via LLM interface

The model speaks, but it does not decide. It translates verified output into natural language.

Business impact

AI moves from demo to production.

Audit-ready AI

Every output is explainable, reproducible, and ready for compliance review.

Regulated environments

Designed for finance, healthcare, legal, and other high-stakes domains.

Contained risk

Model errors cannot become business decisions without verification.

Reliable scale

Trust becomes infrastructure, not a promise.

Positioning

We sell control over AI, not more intelligence.

Intelligence is now commoditized. APIs with powerful models are everywhere. The scarce resource is reliability. Cogentis AI provides the trust layer without which enterprise AI cannot scale.

If AI cannot show the source, the logic, and the conclusion, it is not ready for production.

“Modern AI does not make mistakes. It confidently improvises.”

“If the system cannot prove it, it should stay silent.”

“The next era of AI is not smarter models, but more reliable systems.”

Ready to make AI trustworthy?

Let’s map your critical workflows and design a system that can be audited, explained, and trusted.

Request briefing