We build AI agents that do real work: reading live data, calling your tools and APIs, and handing results to people or other systems. Not demos that only work on a slide.
What we build
Autonomous and semi-autonomous agents that take actions through your APIs
LLM integration into existing products (OpenAI, Anthropic, Gemini and open models)
RAG systems over your documents, database or knowledge base
AI chatbots for support, sales and internal teams, on web, Telegram, Discord or Slack
Content generation and data analysis pipelines
Voice and image AI features
How we work
Workflow first: we map the exact task the agent should handle and where a human stays in the loop.
Prototype: a working version on your real data, so you can judge output quality early.
Harden: guardrails, evaluation tests, logging, cost controls and fallbacks.
Deploy: hosted on your infrastructure or ours, with monitoring.
Why IHL for AI
We have built agents that run on live market data and in production chat products, so we design for failure cases, costs and latency from the start.
Related Work
KAKA X AI Bot, GenetiQ (AI dashboard), BrickLabs AI, AutoTrader (AI signals)
FAQ
Which AI models do you work with?
OpenAI, Anthropic Claude, Google Gemini and open-source models. We pick based on quality, cost, latency and data requirements for your task.
Can the agent use our private data safely?
Yes. We use retrieval over your own data sources with access controls, and keep data inside your infrastructure where required.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An agent also takes actions, such as updating records, calling APIs or running multi-step tasks, with the limits you define.
How do we start?
Tell us the task you want automated through the contact page. We will suggest whether an agent is the right fit and how to prototype it.