An applied AI studio, built in Srinagar.

Wiser AI builds domain-specific software systems for institutions, enterprises, and local industries that still run on fragmented legacy tools, spreadsheets, and manual WhatsApp workflows.

Frontier AI is not the hard part.

The hard part is the gap between a capable model and a receptionist entering fees at nine in the morning. Most of what gets sold as AI to institutions here is a conversational wrapper over that gap.

We build the other thing: the end-to-end vertical software that automates the high-friction work, joins the data that currently sits in five places, and gives the people running the institution something they can act on.

We operate as a branded house. Every product carries the same engineering standards and the same assumptions about bandwidth, staffing, and how a regional institution actually operates.

Houseboats moored on Dal Lake in Srinagar, the snow line of the Zabarwan range behind them.
Srinagar, where the company and most of its customers are.

Meet the founders

Built by people who work across AI and real operating systems.

Haadhi Irfan

Haadhi Irfan

AI systems, evaluation and adoption.

MSc AI/ML (Distinction), University of Birmingham · B.Tech, IIT Kharagpur

Builds production agent systems, the evaluation harnesses that prove they work, and the programmes that get the people using them.

LinkedInprofile for Haadhi Irfan (opens in a new tab)
Peerzada Mohammad Rabet

Peerzada Mohammad Rabet

Data science, machine learning and applied AI.

B.Tech, IIT Kharagpur

Works across machine learning, computer vision, and natural language processing, turning operational records into analysis someone can act on.

LinkedInprofile for Peerzada Mohammad Rabet (opens in a new tab)

What we hold to

Deployable over impressive

A feature that survives a Monday at a busy institute beats one that demos well and then goes unused.

One domain at a time

We go deep on a vertical before we go wide. Education first, diagnostics next, and nothing added for the sake of a longer list.

The connection will drop

Systems are designed for the network that exists here, not the one in a datasheet. Work continues offline and reconciles later.

Enterprise standards, regional reality

The engineering bar is the global one. The workflow it serves is the local one. Neither gets traded for the other.

Working on something that should be a system?

Srinagar, Jammu & Kashmir, India

Talk to us