Enterprise AI Trust Infrastructure

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.

95%

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.

$1

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.

3x

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.

14 days

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.

The Core Framework

From Model-Centric AI to Business-Aware AI

Context

What your AI knows

Safety

How it acts

Provenance

Why your AI decides

When context, safety, and provenance are locked in, you unlock trusted autonomy.

Now Available

Reduces hallucinations and amplifies trust.

Learn more about Context Engine

Reference Architecture

Where TrustHouse sits.

Extending the cloud 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

AI Risk Engine · Context Engine · Continuous Quality Assurance · Decision Provenance · Data Integrity

Layer 3

Hyperscalers

S3, Redshift, Athena, enterprise systems, and your existing identity controls.

THE TRUSTHOUSE APPROACH

Unify Enterprise Context.
Enforce Continuous Trust.
Operate AI with Provenance.

Accelerate AI adoption while reducing risk and ensuring enterprise-wide Trust.

trusthouse.ai
TrustHouse
All EnvironmentsLast 7 DaysAll Agents
1,247
Decisions Traced Today
94%
Average Trust Score
23
Active Agents Monitored
0
Policy Violations (24h)
Decision Provenance
loan_app #48219
customer_data
risk_model_3.2
policy: lending_v4
control fired
approved
Agent Trust Scores
  • Lending Agent97%
  • Claims Triage72%
  • Support Bot45%
Recent Activity
  • 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

Built to work with your entire stack

DatabricksSnowflakeAWSAzureGoogle CloudNeo4jClaudeDatabricksSnowflakeAWSAzureGoogle CloudNeo4jClaude
Deployed in your private VPC
Zero vendor lock-in

The Impact

Trust That Pays for Itself

<6 wks
Production-ready

From stalled pilot to live deployment.

5→1
Vendor stack

Replace five point tools with one trust layer.

100%
Trusted decisions

Every AI action is controlled, measured & explainable.

From Pilot to Production

Case Study

Enterprise Claude Rollout with Compliance & Operational Controls in just a few weeks

A leading enterprise moved from Claude Direct to Claude on AWS without disrupting the experience their teams already relied on. TrustHouse provided the trust layer from day one.

< 1 WeekZero DisruptionProduction-Ready on Day 1
  • Full visibility into token-driven costs
  • Fine-grained access controls at scale
  • Security and compliance built in, not bolted on
Talk to Us

Don't bolt on Trust. Build a defensible AI foundation from day one.

Your AI Is Making Decisions Right Now.
Can You Defend Them?