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.

Moving Beyond PoCs and Pilots to Production deployments through solid foundations

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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