Gurgaon AI projects usually have a governance problem before they have a technical one: what data may leave the building, and who signs off on that.
Corporate clients in Gurgaon rarely struggle to find an AI use case. They struggle to get one approved — because the data involved is customer data, the model is a third party, and nobody has yet written down what is permitted.
We treat that as part of the engineering. Which data leaves your infrastructure, what is retained, what is logged and who can audit it are design constraints that shape the architecture, not paperwork to be completed afterwards.
What we build
AI inside existing systems
Adding AI capability to enterprise software you already run, through its APIs, rather than introducing another disconnected tool.
Governed AI deployments
Explicit data boundaries, retention rules and audit logging — including on-premise or in-region model options where data cannot leave.
Customer service AI
Deflection and assistance built on your own knowledge base, with the escalation path and audit trail a corporate support function needs.
Internal knowledge assistants
Retrieval-grounded answering across internal documentation, with per-user permissions respected so the assistant cannot surface what the asker may not see.
How we work
- 1
Data boundary first
Before architecture, we document what data the system touches and what may leave your environment. This is what unblocks approval, and doing it first prevents a rebuild.
- 2
Prototype in a sandbox
On representative or anonymised data while security review runs in parallel, so the two do not queue behind each other.
- 3
Evaluation with your team
Your subject-matter experts define what a correct answer looks like. Without that, "accuracy" is a number nobody trusts.
- 4
Deploy with audit trails
Full logging of inputs, outputs and actions from day one, because retrofitting an audit trail after an incident is not an option.
How we price it
Phased, with the data-governance work priced explicitly rather than hidden in a line item. It is real work and it is usually what determines the timeline.
Software of ours you can open right now
These are live production sites running on our platform, not mockups. Open any of them, then ask us to walk you through the admin side on a call.
- Bawana Industrial Tools & Hardware
- Delhi Corporate Chambers
- Delhi Skyline Realty
- Dot2Dotz Industrial Marketplace
- Foodlet
- Freelance HUB
- JustLaunch
- Propnal Real Estate
Questions we get asked
Can we run AI without sending data to a third party?
Yes, with trade-offs in capability and cost. If your constraint is that nothing leaves your infrastructure, that narrows the model options and we will be direct about what you gain and lose.
How do we get this through our security review?
By having the data-flow documentation ready before the review rather than after. We produce it as a deliverable, and it is usually what the review is actually asking for.
Can AI respect our existing user permissions?
It must, and it is a common failure. A knowledge assistant that answers from documents the asker cannot access is a data-leak incident. We enforce permissions at retrieval, not with a prompt instruction.
Do you work on site in Gurgaon?
Yes for discovery, evaluation sessions and key milestones; development is remote.
Talk to us
Tell us what you are trying to build. For Gurgaon clients the first meeting can be at your office, and it is free.