Frequently asked questions

When an upstream system changes its API — a field renamed, an endpoint moved, a version incremented — a normal integration breaks and someone gets paged. Ngentix detects the drift automatically, re-infers the schema, remaps it to the Universal Data Model, rebuilds the connector, and re-tests it. You get a log entry, not a 2am incident. If it genuinely cannot resolve the change within its configured attempt budget, it escalates with a precise diagnostic.

Every other integration platform was designed before AI and treats integration as moving data through a pipe — it does not understand what flows through it, it breaks when systems change, and it needs engineers to maintain it. Ngentix understands the meaning of the data (via the UDM), heals itself when systems change, and acts on what it knows. The difference is architectural, not a feature that can be bolted on.

No. The connector lifecycle — discovery, schema inference, build, test, and self-healing — runs autonomously. There is no proprietary transformation language to learn and no recipes to maintain. Your engineers stay on product instead of becoming an integration maintenance team.

AI-native. MCP (Model Context Protocol) server, client, and gateway, plus A2A (Agent-to-Agent) are first-class parts of the core platform. Every connector the engine builds is automatically an MCP tool, grounded in the Universal Data Model so AI agents understand what they are touching — not just how to call an endpoint.

Authentication is delegated — credentials are provisioned by your team or your MSP and never embedded in generated code or written to logs. A built-in governance engine enforces policies on identity, resource, action, and condition across every connector call, MCP tool, and agent delegation, and produces an immutable, tamper-evident audit log of every action.

Ngentix is a self-contained engine that runs inside your infrastructure, your client’s, or a partner’s — not a multi-tenant cloud you have to trust with your data. The first connector can be live in days, not the months a legacy deployment requires.