
One run
- Scan500+ tender portals, continuously
- Rankevery RFP against the business profile
- Alertqualified tenders into Microsoft Teams
- Stopthe bid team decides. The agent does not.
Tender CoPilotThe Manipal Group
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Agents and platforms we have built for









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

One run
Tender CoPilotThe Manipal Group
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
Incoming calls Example routing
OperonFlamingo Infinite
PR to PO, one run
Procurement AgentA pharma manufacturer
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.
That’s our AI agent development process. A demo agent is easy; a secure, auditable one in production is where most internal builds stall.
A working demo in the first week.
Iterate on real cases, to a clear go or no-go.
Security, integrations, channels and the evaluation harness.
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 usEvery action is checked at the boundary. No self-granted powers.
Credentials are held outside the model and never shown to it.
Every action is recorded and traceable, from trigger to write-back.
An evaluation harness ships with each agent. Below the bar, it hands to a person.
Frontier or open source. Swapping is a config change, not a rewrite.
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).
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.
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.
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.
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.
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.
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.
A prototype in the first week. Production quality takes a few more weeks of knowledge and evaluation iteration.
You own your data and your configuration. Gantry, the runtime, is licensed to you rather than assigned.
Yes. Public cloud, private cloud, or on-premise with open-source models on your own data centre.
Describe the job you would hand to an agent. An engineer replies within one business day.