AI Agent Development

Build AI Agents
That Actually Work.

We design, build, and deploy custom AI agents that automate real business workflows — not demos. From conversational AI to autonomous data pipelines, our agents ship to production with guardrails, observability, and cost controls built in.

85%

Reduction in manual tasks

3x

Faster response times

60%

Lower operational costs

24/7

Autonomous operation

What We Build

EVERY TYPE OF AI AGENT

From simple chatbots to complex multi-agent systems, we build the full spectrum of autonomous AI solutions.

Conversational AI Agents

Natural language agents that handle customer support, sales qualification, and internal knowledge retrieval with human-like understanding.

  • Multi-turn context retention
  • Sentiment-aware routing
  • Multi-language support
  • CRM/helpdesk integration

Workflow Automation Agents

Autonomous agents that orchestrate complex business processes — from document processing to multi-step approval workflows.

  • Document parsing & extraction
  • Decision-tree execution
  • API orchestration
  • Error handling & retry logic

Data Analysis Agents

Intelligent agents that query databases, generate reports, identify anomalies, and surface actionable insights from your data.

  • Natural language SQL
  • Anomaly detection
  • Automated reporting
  • Predictive analytics

Web & Research Agents

Agents that browse the web, aggregate information, monitor competitors, and compile research briefs autonomously.

  • Web scraping & aggregation
  • Competitive monitoring
  • Market intelligence
  • Content curation

Code Generation Agents

AI-powered coding assistants that write, review, test, and deploy code — integrated into your development pipeline.

  • Code generation & review
  • Automated testing
  • CI/CD integration
  • Technical documentation

Compliance & Security Agents

Agents that audit processes, enforce policy compliance, detect risks, and generate compliance reports automatically.

  • Policy enforcement
  • Risk detection
  • Audit trail generation
  • Regulatory monitoring
Our Process

FROM IDEA TO PRODUCTION

01

Discovery & Scoping

We map your workflows, identify automation opportunities, and define clear success metrics for your AI agents.

02

Architecture Design

We design the agent architecture — choosing the right LLM backbone, tool integrations, memory systems, and guardrails.

03

Build & Iterate

Rapid development with weekly demos. We build, test, and refine agents against real data and edge cases.

04

Deploy & Monitor

Production deployment with observability, error handling, cost optimization, and continuous performance tracking.

Built With

ENTERPRISE-GRADE AI STACK

OpenAI GPT-4o
Claude 3.5 Sonnet
LangChain / LangGraph
CrewAI
Pinecone / Weaviate
PostgreSQL + pgvector
FastAPI / Node.js
AWS / GCP / Azure
FAQ

Frequently Asked Questions

What is a custom AI agent?

A custom AI agent is an autonomous software system that reasons, uses tools, maintains memory, and takes actions on behalf of your business. Unlike chatbots that follow scripts, AI agents can research, analyze data, make API calls, and execute complex multi-step workflows independently.

How much does it cost to build a custom AI agent?

Simple AI agents (FAQ bots, basic automation) start around ₹1.5-3 lakh. Production-grade single agents with integrations typically run ₹3-8 lakh. Enterprise multi-agent systems start at ₹10 lakh+. Contact us for a scoping call and we'll give you a real number within 48 hours.

What is the difference between a chatbot and an AI agent?

A chatbot follows predefined scripts and handles simple Q&A. An AI agent reasons about problems, uses external tools (APIs, databases, web search), maintains conversation memory, and takes autonomous actions — like a digital employee that can handle complex workflows independently.

Can AI agents integrate with our existing tools?

Yes. Our AI agents integrate with CRMs (Salesforce, HubSpot), databases, APIs, Slack, email, WhatsApp, and custom internal tools. We build custom tool connectors so your agents work within your existing tech ecosystem.

How long does it take to build an AI agent?

A basic AI agent takes 2-4 weeks. Production-grade agents with multiple tool integrations take 4-8 weeks. Multi-agent orchestration systems take 8-12 weeks. Every project includes weekly demos so you see progress in real-time.

Ready to Build Your AI Agent?

Let's discuss your use case. We'll scope the agent, estimate costs, and show you a working prototype in weeks — not months.