Service

Agentic AI

AI agents that research, reason, and act.

Design coordinated multi-agent systems that automate complex workflows with human oversight.

Discuss your project
What’s included

Capabilities

  • Chatbots
  • Simple agents
  • Multi-agent systems
  • Tools and API integration
  • Model Context Protocol (MCP)
  • Hybrid retrieval-augmented generation (RAG)
  • Evaluation and guardrails
  • AI product integration
  • Hugging Face models
  • Coding agents with sandboxing
Typical tools
  • Python
  • Flask
  • FastAPI
  • HTML
  • CSS
  • JavaScript
  • LangChain
  • LangGraph
  • DeepAgents
  • MCP
  • Docker
  • Vector databases
  • LLM APIs (OpenAI, Claude, Gemini, Ollama, Hugging Face)
How it works

The process

01

Scope

Pick workflows where agents add real leverage.

02

Architect

Define roles, tools, memory, and hand-offs between agents.

03

Build

Implement and test agents against realistic tasks.

04

Govern

Add evaluation, logging, and human-in-the-loop controls.