Trusthouse is the AI Trust Infrastructure layer engineered to map data readiness, enforce agentic integrity, and guarantee absolute AI sovereignty across your entire model, data and agentic perimeter.
The Trust Gap
Four pains every enterprise AI program is paying for, whether or not they have a name for them yet.
of AI pilots never reach production
Compliance won't sign off. Security won't approve. Your AI investment dies at the governance checkpoint.
of bad output can cost more than the system ever saved
Companies are held liable for what their chatbots tell customers. Every hallucination in production is a legal liability you've already accepted.
more AI agents in production than IT knows about
Teams deploy agents in Bedrock, Vertex, and ChatGPT integrations. Each one consumes your data and makes decisions outside your governance framework.
typical audit response time without decision provenance
Regulator asks how your AI made a decision. Your team has weeks of data engineering work ahead before you can answer.
THE TRUSTHOUSE APPROACH
System of Record for Trusted AI. Accelerate AI adoption while reducing risk and ensuring enterprise-wide Trust.

Catalog, profile, and trust every data asset before AI touches it.
Learn moreEvery AI decision is traceable and fully auditable, from data to outcome.
Learn moreA secure control plane and adaptive routing for every AI agent in your enterprise.
Learn moreRisk policies that safeguard AI before a decision executes.
Learn moreSemantic models and context that ground every output.
Learn morePre-built foundation agents and governed integrations, ready to deploy.
Learn moreBuilt to work with your entire stack












The Impact
From stalled pilot to live deployment.
Replace five point tools with one trust layer.
Every AI action is controlled, measured & explainable.
Industry talks, thought leadership, and the latest from the team.
"AI governance and enterprise trust are becoming foundational pillars for scalable AI adoption." — Arhasi Team
Watch our latest session covering enterprise AI governance, trust infrastructure, compliance, and scalable deployment strategies for modern organizations adopting AI systems.
Premiered May 2026
Watch the full video Webinar"Trusted AI isn't a feature. It's operational discipline." — Chiru Bhavansikar, Founder, TrustHouse.AI
A fireside chat between Chiru Bhavansikar (Founder, TrustHouse.AI) and Bryan Nairn (VP Product Marketing, Neo4j) on the operational discipline required to move enterprise AI from experimental pilots to mission-critical production, and how TrustHouse and Neo4j combine to deliver Trusted AI at scale.
Premiered June 2026
Watch the full video
A 19-page guide for Chief Data Officers (CDO) on building the trusted data foundation every AI initiative depends on.
25 min read · Free download
Read the guide
Arhasi founder Chiru Bhavansikar talks to VentureBeat about why AI governance is shifting from checklist activity to enterprise infrastructure, and how TrustHouse is building the trust layer that makes probabilistic AI systems accountable, explainable, and defensible at scale.
4 min read on VentureBeat
Read on VentureBeatDon't bolt on Trust. Build a defensible AI foundation from day one.