TechDesk

Intelligent AI agents that automate real business workflows.

Agents that read, decide and act inside your tools: support, sales qualification, document processing and research, with a human in the loop where it matters.

What we build

  • AI agents and agentic workflows
  • AI chatbots
  • RAG and AI search
  • Document processing
  • LLM integrations with provider failover
  • Business process automation
  • AI-powered SaaS features

Tools we reach for

  • Claude
  • Groq
  • OpenAI-compatible APIs
  • Vector search
  • Node.js
  • Python

Chosen per project. We pick the simplest stack that meets the requirement, and explain why.

How we deliver it

  1. Step 1

    Discover

    Understand the business problem before anyone writes code.

    You get: problem statement, success criteria

  2. Step 2

    Define

    Turn the problem into a scope you can budget for.

    You get: written scope, price range and timeline

  3. Step 3

    Design

    Make the product clear before it is built.

    You get: approved designs, design system

  4. Step 4

    Engineer

    Build it properly, in small working increments.

    You get: working software every week, repository access from day one

Then test, deploy and evolve: the same seven-stage process on every project.

Indicative investment

Ranges for ai agent / chatbot / automation work, before any add-ons. Not a quote: you get a fixed price after a short scoping call.

Indicative price ranges by project size
SizeIndia (INR)Worldwide (USD)
FocusedAn MVP, a landing experience or one core workflow₹75k – ₹2.5L$2k – $6k
Full productA complete product with accounts, admin and integrations₹2.5L – ₹8L$6k – $18k
PlatformMultiple user types, heavy integrations or enterprise scaleFrom ₹8LFrom $18k

Proof

AI & Intelligent Automation: common questions

Something else on your mind? Ask us directly.

Can you build an AI agent that works with our existing tools?

Yes. Agents can read from and act inside tools you already use, such as WhatsApp, email, CRMs, calendars and internal databases, with a human approving the steps that matter.

Which AI models do you use, and is our data safe?

We pick the model per task (for example Claude or open models served by Groq) and design for failover between providers. Only the data a task needs is sent, keys stay on the server, and nothing is used to train models.

How is pricing decided?

We scope first, then quote a fixed price for that scope, or a monthly rate for a dedicated team. The estimate tool on this site shows indicative ranges in INR and USD so you can budget before we talk.

Who owns the code and designs?

You do, from day one. Code lives in a repository you own or can access, and the IP transfers to you as agreed in the contract.

Will you sign an NDA?

Yes. We are happy to sign a mutual NDA before you share anything sensitive.