AI & ML Solutions
AI Agent Development
Autonomous Agents & Multi-Step Workflows — Built for Production
We build autonomous AI agents and multi-agent systems that complete complex, multi-step tasks without constant human instruction. From RAG-powered knowledge assistants to full agentic workflows integrated into your product.
What We Build
Autonomous Task Agents
Agents that plan multi-step workflows, select tools, execute actions, and iterate until the goal is reached — without human intervention at each step.
Multi-Agent Orchestration
Supervisor-worker agent architectures where specialised agents collaborate on complex tasks. Research, analysis, writing, and verification — each handled by the right agent.
RAG Knowledge Pipelines
Retrieval-Augmented Generation systems that ground your agent in your private data: documents, databases, APIs, and internal knowledge bases.
Production-Safe Guardrails
Input validation, output filtering, rate limiting, audit logging, and human-in-the-loop checkpoints to keep your agent operating safely in production.
Tool & API Integration
Custom tool functions connecting your agent to internal systems, third-party APIs, databases, and external services — fully typed and tested.
AI Agent Use Cases We Deliver
Our AI Agent Tech Stack
Orchestration
LangGraph, LangChain, CrewAI
Models
GPT-4o, Claude 3.5, Llama 3, Mistral
Vector DB
Pinecone, Weaviate, pgvector
Backend
FastAPI, Python, Node.js
Deployment
AWS, GCP, Azure, on-premise
Monitoring
LangSmith, Langfuse, custom logging
Frequently Asked Questions
What is an AI agent?
An AI agent is an LLM-powered system that can plan, take actions, use tools, and complete multi-step tasks autonomously without step-by-step human instruction. Unlike a chatbot that only responds, an agent can browse the web, query databases, call APIs, write code, and orchestrate other agents to complete complex workflows.
How long does it take to build an AI agent?
A focused single-agent workflow takes 4–8 weeks to build, test, and deploy. A multi-agent system with custom tooling and integrations typically takes 3–5 months. Timeline depends on the complexity of tools, the quality of your existing data, and the number of integrations required.
Which frameworks do you use for AI agent development?
We build with LangChain, LangGraph, CrewAI, and AutoGen depending on the use case. For production-grade agents we prefer LangGraph for its stateful, graph-based orchestration. We are model-agnostic — OpenAI GPT-4o, Anthropic Claude, Llama 3, and Mistral are all part of our standard stack.
Ready to Deploy Your AI Agent?
Tell us the workflow you want to automate. We'll scope the agent architecture, estimate the build, and propose a phased delivery plan within 48 hours.
Also see: AI & ML Solutions · LLM Integration · Custom Software Development