Enterprise AI demands
Trusted Infrastructure
Trusthouse is the unified Trust & Context Layer for Enterprise AI.
It activates real-time control over what your AI knows, how it acts, and why it decides, eliminating hallucinations to clear your path from pilot to production.
The Trust Gap
Your AI is already costing more than it's making.
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
Pilot Purgatory
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
The Hallucination Tax
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
Shadow AI Sprawl
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
The Audit Gap
Regulator asks how your AI made a decision. Your team has weeks of data engineering work ahead before you can answer.
Why It Matters
Three outcomes that define Trusted AI.
What executive buyers measure. What TrustHouse delivers.
Accelerate AI Adoption
Move AI from pilot to production in weeks, not months. Trust controls are built in, so teams ship without waiting for approvals.
CAIOReduce AI Risk
Every AI decision is traced, scored, and mapped to regulation. Compliance is continuous, not a quarterly exercise.
CISOMaximize Enterprise Value
Trusted data and context ground every AI output. Better inputs mean better decisions across the business.
CDOTHE TRUSTHOUSE APPROACH
Unify Enterprise Context. Enforce Continuous Trust. Operate AI with Provenance.
Accelerate AI adoption while reducing risk and ensuring enterprise-wide Trust.
- Lending Agent97%
- Claims Triage72%
- Support Bot45%
- 2 min ago — Continuous Assurance Monitoring updated for Lending Agent (97%)
- 8 min ago — Policy 'pii_protection_v3' fired on Support Bot output
- 14 min ago — New data asset cataloged: customer_transactions_eu
Product Overview
Data Integrity
Catalog, profile, and trust every data asset before AI touches it.
Explore Data IntegrityDecision Provenance
Every AI decision is traceable and fully auditable, from data to outcome.
Explore Decision ProvenanceSecure AI Gateway
A secure control plane and adaptive routing for every AI agent in your enterprise.
Explore Secure AI GatewayAI Risk Engine
Risk policies that safeguard AI before a decision executes.
Explore AI Risk EngineContext Engine
Reduces hallucinations and amplifies trust.
Explore Context EngineAI Agents & Integrations
Pre-built foundation agents and governed integrations, ready to deploy.
Explore AI Agents & IntegrationsReference Architecture
Where TrustHouse sits.
Extending the AWS environment you've already vetted, not replacing it.
Layer 1
Your Agentic Workloads
Customer Service, Knowledge Assistants, Operations, Compliance, and Analytics, powered by Claude on Bedrock.
Layer 2
TRUSTHOUSE
Secure AI Gateway · MCP Proxy Manager · Agent Traffic Management · Continuous Assurance Monitoring · Risk & Compliance
Layer 3
AWS Foundations
S3, Redshift, Athena, enterprise systems, and your existing identity controls.
Built to work with your entire stack
The Impact
Trust That Pays for Itself
From stalled pilot to live deployment.
Replace five point tools with one trust layer.
Every AI action is controlled, measured & explainable.
What's New
Industry talks, thought leadership, and the latest from the team.
Enterprise AI Trust & Governance Webinar
"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 WebinarAI-Native Data Architecture for Trusted AI with Arhasi TrustHouse and Neo4j
"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
The CDO Guide to AI-Native Data Architecture.
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
Chiru Bhavansikar on Building Integrity-First Enterprise AI
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.