Agentic development
Autonomous agents that plan, call tools, verify their own work and know when to hand off to a human. Multi-step workflows that run your ops, not demos.
~/antcodelabs $ ./build --agents --voice --insights
We engineer
fantastic AI
interactions.
AntCodeLabs is a consultancy for agentic development, AI bots, voice & chat workflows and AI insights baked right into your product. We build MVPs fast enough to test in market — and help you hone an AI strategy that actually ships.
01 / What we build
From first prompt to production.
Six ways we help teams put AI to work — each one delivered by engineers who love this stuff, not slideware.
AI bots & assistants
Customer-facing and internal assistants that resolve issues instead of deflecting them — grounded in your data, tuned to your tone, measured on outcomes.
Voice & chat workflows
Real-time voice agents, rich text chat, IVR modernisation and seamless human handoff — one conversation across every channel your customers use.
AI insights in your product
Summaries, recommendations, semantic search and next-best-actions embedded into the product you already ship — features your users feel on day one.
Rapid MVPs
Idea to working product in weeks, not quarters. We build the smallest thing that can win, put it in front of real users and let the market vote.
AI strategy that ships
Model and platform selection, evals, cost & latency budgets and a pragmatic roadmap — grounded in the latest models, tools and what we learn building daily.
02 / How we work
Test the idea before you bet the roadmap.
AI moves too fast for six-month spec documents. Our loop is short on ceremony and long on shipped software: a working MVP in market within weeks, with the evals and guardrails to trust what it does.
Week 0–1
Discover
A focused workshop: your customers, your data, your constraints. We map the use-cases worth building and kill the ones that aren't.
Week 1–3
Prototype
A working MVP — real model calls, real integrations, real conversations. Not a deck. Something you can put in a user's hands.
Week 3–5
Validate
Evals, guardrails and live usage data. We measure quality, cost and latency against targets — and let real-world signal steer the plan.
Week 5+
Scale
Harden, integrate, observe. We productionise what works, wire it into your stack and leave your team confident running it.
03 / Why us
We love to code.
We love AI.
We love tools that make
people love talking to yours.
Small team, senior engineers, colony-grade work ethic. We build with the latest models, platforms and tools because we use them every single day — and we sweat the details that turn "it works" into "our customers love it".
Fluent in /
Claude
GPT
Gemini
MCP
Agent SDKs
RAG pipelines
Realtime voice
Evals
LLM observability
Kubernetes
Your stack
04 / Start something
Have an idea to test, a workflow to automate, or a product that needs a voice? Tell us about it —
[email protected]