The TrueX Platform

One platform to connect, automate, guide and evaluate AI across your enterprise — without replacing a single system. Deployed in hours, not months

Connect

Give every system a secure, governed AI interface.

Automate

AI agents, with optional memory for self-improvement, execute end-to-end processes through your connected systems, 24/7.

Guide

Verified company knowledge guides every agent and employee decision — zero harmful hallucination.

Evaluate

Monitor every AI for accuracy, cost and security — continuously.

Deploy private MCP servers on your network that make your existing applications, databases and documents securely accessible to authorised AI tools and employees — through existing permissions. No integration code. No system replacement. Natural conversations. Live in hours.

Any system, any format — databases, APIsAny system, any format — databases, APIs, legacy UIs, SaaS apps, legacy UIs, SaaS apps
Existing permissions enforced — OAuth/SSO, RBAC, full audit trails
Full observability — metrics, logs, traces, health monitoring per server

Once your systems are securely accessible, AI agents can operate through those governed connections. They execute complete business processes – reading emails, navigating applications, entering data, generating reports – with every action logged and auditable. Agents have memory: they learn from past interactions and improve over time.

Works with any LLM — Claude, GPT, Gemini, self-hosted. No vendor lock-in
Human-in-the-loop with full observability of every decision and tool call
Supports Teams, corporate email, etc — agents go where work happens

A compliance team would need their AI agents to make regulatory decisions during automated workflows — but standard RAG systems can give wrong answers without any warning. TrueRAG replaces statistical retrieval with a hierarchical knowledge graph mirroring the organisation’s structure. Every answer is deterministic, auditable, and instantly updatable when policies change.

Zero harmful hallucination — structured retrieval, not statistical guessing
Instant policy updates — change a document, change the answer immediately
Hybrid search: Object Hierarchical and Vector based
Essential for finance, healthcare, legal, regulated industries

Evaluation of every AI execution. Models compared head-to-head. Errors caught before production. Cost and accuracy optimisation across your entire AI operation. Dashboards and governance reporting for boards, auditors and regulators.

Model-agnostic — evaluates any LLM and any agent
LLM-as-a-Judge methodology that scales beyond manual review
Predefined or bespoke evaluation criteria

MCP Servers are the foundation. Every system you connect — databases, APIs, legacy UIs, document stores — becomes a private MCP Server on your network. Agents are MCP Servers paired with an AI model and automation instructions. Knowledge retrieval is a specialised MCP Server. Evaluation watches every action across all of them.

Databases, APIs, legacy UIs, SaaS apps, documents

Claude · GPT · Gemini · Self-hosted

Any System as a governed , AI accessible service


Agents

Knowledge

Evaluation

Teams – Email – Discord etc

Audit – Trace – Metrics – Cost

Zero-trust architecture. OAuth/SSO, RBAC, Cedar policies. Complete audit trail. Data never leaves your network.

Real-time traffic, latency, error rate. Request-level tracing from agent to tool. Global deployment map.

Serverless architecture, no infrastructure to manage. Capacity grows with workload – automatically.

Monthly contract. No upfront licence. Any LLM. Stop when you don’t need it.

Ready to See Results in Weeks?

From signed contract to a working pilot in 2 weeks. No upfront licence. No minimum commitment. No disruption to your existing systems.

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