Applied machine learning
Conversational agents, document understanding, classification and anomaly detection. Models are fine-tuned to the domain and shipped with measurable guardrails.
- LLM interfaces
- Document AI
- Structured extraction
We’re UIMT — United Information & Management Technologies. An AI-driven, SECP-registered technology company out of Islamabad, Pakistan, building four products in production.
We build applied-intelligence products — conversational tax assistants, compliant invoicing platforms, workforce timesheets, and optimisation schedulers — each engineered to replace manual cycles with reliable, machine-assisted ones.
Small teams, strong opinions, long time horizons. Our products ship to real businesses in Pakistan and beyond, and are refined in production — not in slide decks.
Conversational agents, document understanding, classification and anomaly detection. Models are fine-tuned to the domain and shipped with measurable guardrails.
FBR integrations, audit trails, and document pipelines that survive regulator scrutiny. Compliance is designed in from the schema up — not bolted on.
Scheduling, routing, and resource allocation. We treat constraints as first-class citizens and ship solvers that real operators can actually override when they need to.
A tax assistant, an invoicing platform, a workforce timesheet, and an AI scheduler — each solves a discrete operational problem with learning built in.
Pakistan’s friendliest FBR invoicing portal — built for accounting firms managing 20+ clients from one dashboard. Role-based access per client, compliance scored at a glance, all 28 FBR scenarios supported. No panic, no penalty, no jargon.
FBR digital invoicing for Pakistani businesses — officially integrated with IRIS. Auto-submit, live IRN & QR codes, 9,000-invoice bulk upload, 10-year audit trail. One missed filing can cost Rs 500,000. We make sure it doesn’t.
Multi-tenant time-tracking for engineering teams — projects, approvals, drawing-level detail. Plus AI-generated daily summaries comparing planned vs actual delivery across hours, drawings and blockers — delivered to leads at 7:30 PM.
An optimisation-first scheduling engine — shifts, routes and resources allocated by a model that learns your constraints instead of ignoring them.
AI should feel like competence, not spectacle. Everything we ship is engineered in that spirit.