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About IGAI Tech

Interfaces got faster. They did not get more human.

We build the layer between a person with a question and the system that can answer it.

About IGAI

AI should feel human — and behave like an engineer.

Systems people can simply talk to, that answer accurately, and that can be audited afterwards.

Deployed, not demonstrated

We optimise for a busy arrivals hall, not a conference stage. Noise, glare and impatience are the brief.

Grounded by default

A virtual human that invents an answer in a hospital is worse than none. Every claim is retrieved and traceable.

Sovereign by option

If your data cannot leave the building, neither does ours. The same product runs air-gapped.

Accessible as a requirement

Public-facing systems serve everyone or they fail. Accessibility is a launch condition.

How we engage

  1. 01

    Discovery

    Map the touchpoint, the languages, the systems of record and the escalation rules.

  2. 02

    Pilot

    One location, bounded scope, success criteria agreed before anything is built.

  3. 03

    Integration

    Connectors, security review, data residency and accessibility validation.

  4. 04

    Scale

    Rollout across the estate with central persona governance and analytics.

Careers

We hire people who have shipped into difficult rooms.

Hospitals, airports and public services do not tolerate demo-grade software. If you have shipped systems that had to work when it was inconvenient, we want to hear from you.

Open applications

Send your work and the problem you most want to solve.

ikram@igaitech.in

Evaluation

The questions that come up first

Yes. The same runtime operates in managed cloud, your private cloud, or fully air-gapped on your own hardware with no external egress. Compliance posture does not change product behaviour.

Factual responses are constrained to a retrieval corpus you approve, and each carries a traceable source. Anything outside that scope routes to a human rather than being answered speculatively.

Over forty, with dialect-aware models for high-traffic regions. Language is detected and switched mid-conversation without the person selecting anything.

Through role-scoped agents with explicit permissions over EHR, PMS, AODB, CRM, ERP, ticketing and identity providers, over REST, GraphQL, webhooks or a message bus. Every action is written to an immutable audit log.

A bounded pilot at one location covering a single interaction type end to end, with success criteria agreed up front. Scale-out follows only once those are met.

Accessibility is a launch condition: high-contrast and large-text modes, captioning of all spoken output, screen-reader-compatible surfaces and configurable pacing.

Get started

Ready to put AI in front of people?

Deploy an enterprise AI virtual human where your customers already are.

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We reply to every enquiry within two business days