TrustAI

Governance for agentic RAG systems, designed to minimize hallucinations at scale

A verification-first layer for retrieval, policies, and evidence

Backed by
Y Combinator Combinator

TrustAI Platform

Verification-first governance for agentic systems.

We attach evidence, policies, and provenance to every step of the model pipeline so teams can ship faster without blind spots.

3x
Faster investigation cycles
99.8%
Policy compliance coverage
24/7
Continuous auditing
5k+
Research partners

Evidence that follows the chain of thought.

Each response is grounded with an auditable trail, turning ambiguous model output into verifiable artifacts.

Step 01
Capture every retrieval

Store evidence slices with source metadata and provenance scores.

Step 02
Apply live policy checks

Enforce safety rules before the model responds, not after.

Step 03
Verify alignment at output

Produce a structured report that auditors can trust.

Clean signals for every stakeholder.

Rollups, risk alerts, and governance snapshots that align product, policy, and research teams.

Coverage
Retrieval traceability

Identify which sources influenced each generation.

Governance
Policy drift alerts

Detect misalignment as policies evolve.

Trust
Evidence snapshots

Instant reports for auditors and regulators.

Performance
Confidence scoring

Measure reliability across flows and providers.

Company

Leadership with safety in mind.

We build trust infrastructure for agentic systems, bringing research rigor into every release cycle.

Hannah Chung

CEO

Product vision, governance strategy, and external partnerships.

Policy Trust & Safety
LinkedIn

Medha Venkatapathy

CTO

Systems architecture, reliability, and evidence pipelines.

Infrastructure Verification
LinkedIn

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