Intelligent Enterprise AI

The compliant GenAI infrastructure that keeps enterprise agents production-ready — governed, secured and independently evaluated on our own stack.

ATX AI Eval — Universal Evaluation Suite

ATX AI Eval is a universal evaluation suite for AI agents and LLM applications, available on its own or inside ATX Guardrails. It grades agent behaviour with a multi-judge LLM jury, attaches to any framework through OpenTelemetry instrumentation, and generates compliance-ready documentation — so teams move agents into production on evidence rather than guesswork.

Six metrics are live today, with eight agent-native metrics landing next — CLEAR, agent handoff quality, context drift and MCP security among them. The same harness runs as a runtime guardrail, a pytest suite and a CI/CD gate, and deployment spans SaaS, local Docker, in-VPC and fully air-gapped.

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ATX KomplianceAI — Grounded Compliance Knowledge Plane

ATX KomplianceAI is a multi-tenant knowledge-base-as-a-service for regulatory compliance, callable by any AI agent over MCP. It ingests the regulatory corpus — statutes, agency rules, standards and guidance — alongside each customer's own policies, contracts and regulator correspondence, and serves citation-backed retrieval. It is a data plane, not a chatbot: every answer returns grounded, partial or no_answer, anchored to an immutable section version, effective date and source URL. Where the evidence falls short it refuses rather than guesses, so the agent in front of it escalates to a human instead of inventing a citation a regulator will later read.

Fourteen read tools ship over stdio and Streamable HTTP, with REST/OpenAPI and a typed Python SDK generated from the same registry — and every one of them passes a tenant-isolation chokepoint that re-checks the org scope of each row it returns. Bitemporal versioning answers what a rule said on any date without pinned citations drifting, a typed graph links each policy to the regulation behind it and flags the ones that no longer agree, and an append-only audit store carries a non-disableable seven-year retention floor. Administrative operations are never exposed over MCP or the SDK. It runs closed-network, in-VPC or fully air-gapped, so sensitive data never leaves your environment.

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ATX Guardrails — Security & Evaluation for AI

ATX Guardrails is a unified ecosystem for the agents you put in production. It evaluates agent performance, enforces strict access control and filters malicious input in real time, shielding your infrastructure while keeping your data private.

Three components ship together: ATX AI Eval for universal agent testing across frameworks, ATX RBAC for context-aware access control with role-based filtering inside the vector store, and ATX Prompt Firewall for real-time blocking of injections, jailbreaks and policy violations. Security, evaluation and access constraints are managed in one place rather than stitched together from three vendors, and it installs as a Python package, deploying via SaaS or local Docker.

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