AI LABS
Where we put AI to work.
The AI Labs is where Tilicho's applied-AI work lives — how we build software with AI in the loop, how we run agents economically at scale, how we bring perception to the production line, and how we engineer the models underneath. Four bodies of work.
Four programs, each its own discipline. They share measured economics, governed behaviour and production-grade engineering.
AI Orchestrator
A control layer between the developer's coding tools and the models. Routes each task, records usage, applies policy.
Connect · Route · Record · GovernAISDLC
The AI-native software development lifecycle — an eight-stage method for building software with AI in the loop, end to end.
8-stage method · Quality gates · Delivery economicsPhysical AI
Vision AI on the production line — perception systems that inspect, guide and verify in real industrial environments.
Machine vision · Edge inference · Real-time QAModel Engineering
Fine-tuning, quantization and compression — purpose-built models that run economically at the edge and at scale.
Fine-tuning · Quantization · Edge deploymentAgent Studio
Agentic engineering for the enterprise — we design, build and harden production AI agents grounded in your systems, on Gemini Enterprise, ADK, LangGraph or CrewAI.
Enterprise agents · Grounded & governed · Multi-platformComm OS
Gemini Enterprise Frontline — an omni-channel agentic communication OS. Voice, chat, email and web through one governed intelligence layer, on Google Cloud × Tilicho.
Omni-channel agents · One governed layer · Google Cloud × TilichoWe model it and measure it.
Two live properties carry the proof behind the Lab: economics you can model yourself, and the experiments we publish.
Have a problem that needs applied AI?
Tell us what you are building. We will show you how we would approach it.