Productized AI, built on real IP.
The AI we run in production — adaptive apps, agentic automation, contract intelligence, voice and the ops layer that keeps them governed.
What is iLeaf.ai?
The AI framework we built and own.
Adaptive AI
Make your app agentic.
Agentic Automation
Automate end-to-end workflows.
Contract Intelligence & CLM
Obligations, renewals and deviation — with a live demo.
RAG & Graph-RAG
Retrieval over your own knowledge graph.
AI Voice Agents
Autonomous voice for ops and sales.
AgentOps / MLOps
Run AI in production, governed.
Custom Models
Fine-tuned and bespoke models.
Solutions or services — which page you want
This page lists things iLeaf has already built and owns, and applies to your problem. AI & agents under Services is the engineering engagement that builds something new for you. Most programmes use both: a productized component where one fits, custom engineering where nothing does. The distinction is worth making early, because it is the difference between adapting a system that already runs and starting from an empty repository.
What “production-grade” has to mean
A demo has to work once, with someone watching. A production system has to be wrong safely at three in the morning with nobody watching at all. That gap is why AgentOps is on this list rather than assumed: the Governor Engine enforces policy, cost and safety limits on a running agent, escalates to a person instead of guessing, and records why each action was taken — so an answer can be audited after the fact rather than defended from memory. An agent you cannot explain afterwards is not deployable in a regulated business, whatever it scored in evaluation.
Where it runs, and what it touches
Self-hosting is a first-class option, not an exception we accommodate. A multi-specialty hospital network runs its agentic platform entirely on its own GPUs, with no patient data leaving the premises; it reduced specialist misrouting by 59% and cut average consultation time by about 12%. Adaptive AI takes the other route into an existing estate — wrapping an application that is already live as a skill layer over its own APIs, so it becomes agentic without a rebuild and without disrupting the people using it today. The case studies carry the detail, and a solutions lead will tell you plainly if AI is the wrong answer for what you described.