AI infrastructure that
runs in production.
We build custom AI on our own Labrat platform — multi-provider models, sub-agent architecture and tool access. AI that does real work in real systems, not demos that impress in meetings.
The challenge
The gap between AI hype and AI in production.
Many companies have tried chatbots or ChatGPT integrations, but few have AI that actually runs in production. The problem isn't the models — it's the infrastructure that makes them reliable. We build AI on the Labrat infrastructure, with visibility and control.
How it works
Six areas of production AI
AI Assistants
Virtual assistants that know your company and execute tasks in real systems.
Document Intelligence
OCR, data extraction, classification and document processing at scale.
Voice Agents
Voice agents for phone communication, scheduling and support.
Process automation
AI agents that automate repetitive processes with full visibility and control.
Decision intelligence
AI for data analysis, forecasting and decision support.
Content generation
Generation of proposals, reports and communication in your company's tone.
Built on Labrat
Own infrastructure
A production-ready architecture, not a POC.
Multiple AI providers
No lock-in to a single provider.
Tools, not just text
Read, write, integrate, execute.
Value for your business
The difference between a demo and AI in production
From problem to result
- 1
Use case — documenting the workflow and its inputs.
- 2
Agent design — architecture and tool selection.
- 3
Training — on your data, in your tone.
- 4
Pilot — in parallel with the existing flow.
- 5
Production — with logs, metrics and continuous optimization.