AI systems that ship.
We design, build, and operate production AI infrastructure – agentic automation, voice AI, and workflow systems that get used, not demoed.
01What we build
Six ways we put AI to work in your operations
From multi-agent orchestration to production voice systems – everything runs on real infrastructure, built to be owned by you.
02Why TelarLabs
Most AI projects die as demos. Ours run daily.
The difference is not the models – it's whether the system survives contact with real operations.
Built by operators
Our background is IT operations, project delivery, and systems engineering – not demos. We automate work we used to run by hand, so we build for the people who live with the system.
You own the stack
Your infrastructure, your data, your models. Where it fits, we deploy local models with zero per-token cost. We build and hand over – no lock-in, no black-box SaaS.
Production is the only milestone
No slideware, no eternal pilots. Systems ship with evals, monitoring, retries, escalation paths, and documentation – the unglamorous parts that make AI dependable.
Infrastructure we work with daily
03In production
What a morning looks like for our agents
Triage, reconciliation, reporting, monitoring – running on schedule with humans on exceptions only.
Illustrative log – patterns from our production systems, no client data.
04Case studies
Real systems. In production.
Enterprise financial orchestration: 2–3 hours of CFO time freed daily
An AI orchestration system automating vendor correspondence, invoice reconciliation, document classification, and ERP sync across multiple major vendors – freeing 2–3 hours of CFO time every working day.
PulseSales: a deterministic real-time voice agent for outbound sales
A real-time voice agent for outbound SDR, appointment confirmation, and multilingual outreach. A 13-state workflow engine keeps every conversation on a controlled path; a live dashboard shows every call, transcript, and result.
05Start here
Tell us what you're trying to automate
Not sure which service fits? Describe the bottleneck, the pilot that stalled – or the automation your last developer left behind – and we'll map the right system and scope it honestly.