AI agents that do a full job, in production.

  • A working prototype in week one
  • Live in about six weeks
  • Your cloud, your models

AI agents are one way into AI transformation. Start wherever you are.

Not sure where you are?

Agents and platforms we have built for

  • Hunger Inc
  • Flamingo Infinite
  • MineGate
  • Sainik Mining
  • Nucon Aerospace
  • Verity
  • CashFlo
  • Manipal Technologies
  • IndiaFirst Life

Built for the way your industry runs.

Agentic AI and automation platforms for mid-market companies in India, the UAE and Israel.

  • Mining
  • Travel
  • F&B
  • Aerospace and Defense
  • BFSI
  • Real Estate
  • Retail
  • Hospitality

AI agents we have shipped. Each runs a full job inside the client’s own systems.

01 / 04

One run

  1. Scan500+ tender portals, continuously
  2. Rankevery RFP against the business profile
  3. Alertqualified tenders into Microsoft Teams
  4. Stopthe bid team decides. The agent does not.

Tender CoPilotThe Manipal Group

One agent watching 500+ tender portals, ranking every posting for the business.

Read the case study

WhatsApp Example conversation

Can I order 20 gift boxes for our office Diwali party?

Happily. I’ve noted 20 boxes. Which date and delivery area should I share with our gifting team?

Bulk order handed to the gifting team

BoondiBombay Sweet Shop

Orders and gifting enquiries answered on WhatsApp and voice, in Hindi, English and Hinglish.

Read the case study

Incoming calls Example routing

  • Payment reminderAI voice agent
  • Order statusAI voice agent
  • Disputed chargeHuman agent

OperonFlamingo Infinite

A contact centre that decides, call by call, which conversations AI can handle.

Read the case study

PR to PO, one run

  1. Watchapproved requisitions in SAP
  2. Sourceknown and new vendors, on email and WhatsApp
  3. Compareevery quote, outliers flagged
  4. Draftthe PO into SAP, for a person to approve

Procurement AgentA pharma manufacturer

Sourcing, quotes and negotiation run inside SAP, halving the PR-to-PO cycle.

Read the case study

These describe what each agent does; where an outcome is not measured yet, we say so. Building production software since 2016, including version one of Interakt, now serving 50,000+ businesses.

A prototype in week one. Live in about six weeks.

That’s our AI agent development process. A demo agent is easy; a secure, auditable one in production is where most internal builds stall.

  1. Week one

    Prototype

    A working demo in the first week.

  2. Weeks two to three

    Validate

    Iterate on real cases, to a clear go or no-go.

  3. To about week six

    Productionalise

    Security, integrations, channels and the evaluation harness.

  4. From go-live

    Run

    We monitor it, retune it, and expand it.

Then we run it. A one-time build per agent, then monitoring, drift correction, retuning and expansion, with a named contact and a monthly performance review.

Talk to us

Production-grade from the first agent. The controls a security review asks for are built into every agentic AI system we ship, not bolted on after the demo.

  • 01

    Permission-checked actions

    Every action is checked at the boundary. No self-granted powers.

  • 02

    Secrets stay out of the model

    Credentials are held outside the model and never shown to it.

  • 03

    A full audit trail

    Every action is recorded and traceable, from trigger to write-back.

  • 04

    Evaluated against ground truth

    An evaluation harness ships with each agent. Below the bar, it hands to a person.

  • 05

    Any model

    Frontier or open source. Swapping is a config change, not a rewrite.

  • 06

    Your cloud, ours, or on-premise

    On-premise with open-source models when the data cannot leave your network.

Built with the models shaping what’s next.

ISO 27001 and SOC 2 certification in progress (started August 2026).

Common questions about AI agents.

What usually comes next

AI Security and Governance, so the agent passes review and stays there. Then AI Enablement, so your people use it every day.

What is an AI agent?

An AI agent is software that completes a whole task, not just a conversation. It takes a request, reads the systems the job needs, decides within rules you set, acts, and hands over to a person when judgement is needed.

What is agentic AI, and how is it different from a chatbot?

Agentic AI takes actions; a chatbot only answers. An agentic AI system runs a workflow end to end, reading documents, updating your CRM or ERP and writing back into your systems, with every action permission-checked and logged.

How long does AI agent development take?

A working prototype in the first week, and a production agent in about six weeks. After go-live we run it: we monitor it, correct drift, retune it and expand it into the next part of the function.

Do you build AI agents for companies in the UAE and Israel?

Yes. We offer AI agent development for mid-market companies in India, the UAE and Israel, with one senior engineer embedded in your business and the team behind them working remotely.

Will you build a custom model for us?

Usually no. We start with a frontier model grounded on your data, and stay model-agnostic so you can move to open-source once the use case is validated.

How fast can we see something real?

A prototype in the first week. Production quality takes a few more weeks of knowledge and evaluation iteration.

Who owns the work?

You own your data and your configuration. Gantry, the runtime, is licensed to you rather than assigned.

Can it run on our own cloud?

Yes. Public cloud, private cloud, or on-premise with open-source models on your own data centre.

Tell us the function. We will show you the agent.

Describe the job you would hand to an agent. An engineer replies within one business day.