AI agent development by developers who run agents in production

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An AI agent is software that reads a situation, decides what to do and takes the action itself: answering a customer, updating a CRM, researching a market or drafting a document. The hard part is not the demo, it is keeping the agent correct, safe and online every day.

Our AI agent development work runs in production: the AI layer of our algo trading platform produces live research every five minutes across several model providers, with timeouts, failover and cooldowns so one outage never stops the feature.

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What we build

Customer-facing agents for WhatsApp, web chat and email
Internal agents that act inside your CRM, ERP and tools
Research and analysis agents on live data
RAG search over your documents and knowledge base
Multi-step workflows with approvals and a human in the loop
Multi-provider model layers with failover and cost control

How it works

Step 1
Pick the job
One task the agent owns end to end, and how we will measure it.
Step 2
Connect the tools
The data it reads and the actions it is allowed to take, nothing more.
Step 3
Add guardrails
Limits, approvals, logging and a fallback when a model is down.
Step 4
Launch and tune
Review real conversations and actions every week and improve them.

Why TechDesk

Agents in production, not demos
Our trading platform's AI research and swing-trade agents run on live market data every day.
Built to stay up
Provider chains with per-attempt timeouts and cooldowns, so one model outage degrades, never breaks.
Safe by default
Agents get only the permissions their job needs, and risky actions wait for a person to approve.

Proof from our work

Algo Trading Platform
Automated strategies, your broker, your control
Industry
Fintech · Trading automation
Status
Live
Problem
Manual execution is slow and emotional; active traders cannot watch charts all day.
Stack
React · TypeScript · Vite · TanStack Query · Node.js · MongoDB
E-bidding Automation Extension
Procurement automation for SAP e-bidding
Industry
Enterprise · Procurement
Status
In use (v2.1)
Problem
E-bidding windows open at a precise moment, and a manual submission loses seconds that matter.
Stack
Chrome Extension (Manifest V3) · JavaScript · On-device OCR

Indicative cost

Ranges before add-ons. You get a fixed price after a short scoping call. Read the full guide: How much does it cost to build an AI agent in 2026?

Indicative cost by project size
Size	India (INR)	Worldwide (USD)
Focused	₹75k – ₹2.5L	$2k – $6k
Full product	₹2.5L – ₹8L	$6k – $18k
Platform	From ₹8L	From $18k

Questions about ai agent development

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

A chatbot answers questions. An AI agent also takes actions: it can look up an order, update a record, book a slot or start a workflow, within limits you set.

Which AI models do you use?

We choose per task, for example Claude, Groq-hosted open models or other OpenAI-compatible APIs, and usually put two or more providers behind a failover chain.

How much does AI agent development cost?

A focused agent starts at an indicative ₹75k in India or $2k worldwide; the estimate tool and our cost guide give a range for your scope.