Engineering studio / Since 2019

Judgment,
engineered.

We engineer difficult intelligent systems and the software required to make them work in production.

What we buildIntelligence → production
A model inside a complete production systemInputs enter intelligence, pass through validation, and reach product software. Data, infrastructure, and observation surround the whole system.DATA + INFRASTRUCTUREINMODELVALIDATEPRODUCTOBSERVE · EVALUATE · EVOLVE

Intelligence, controls, and the software that makes them useful.

Trusted by enterprises at scale
8-12weeks to production
200+global brands on ShelfrShelfr’s published platform figure
3M+searchable film stillsShotDeck production library
3,200+source-linked sections of lawOur Pakistan Legal Corpus initiative
Selected work / 01

Difficult problems. Working systems.

The constraints, engineering decisions, and results behind three of our systems.

two variants, one shelf decision

Recognize near-identical products reliably enough for the shelf decision downstream.

Client systemRetail intelligence · Computer vision

Shelfr

5 yearsAI architecture and lifecycle engineeringFounder-led record

The vision system behind a shelf platform used by global brands, judged by what a mistake costs the store rather than by an average score.

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the shot you meantthree million more like it

Preserve cinematography-aware meaning while ingestion, retrieval, infrastructure, and dependencies change at scale.

Client systemCinematic search · Multimodal retrieval

ShotDeck

3M+Live production stills

Retrieval that understands framing, lighting and lens, not just pixels, so a filmmaker can describe a shot and get it back in under a second.

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one engine under every storefront

A shopper asks half a question, the catalogue changed this morning, and the answer still has to be right.

Client systemConversational systems · Product discovery

Biscuit AI

1 engineA second vertical, configuration only

Controlled recommendation, live catalogue retrieval, evaluation, speed and memory — on kiosks that serve shoppers all day, with no staff.

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A useful AI system needs reliable inputs, clear limits, and a way to detect failure. It also needs the applications, data pipelines, infrastructure, and interfaces that put it into people’s hands.

We build those parts together. Web and frontend, mobile, cloud, and data engineering are how we finish the system.

How we approach the work ↗
OperateControlGroundSensemodel
Working together / 03

Start where you are.

01

Architecture and feasibility

You know what you want to build, and need to know whether it can work before you spend on it.

02

Design and build

You want one team to own it end to end, from idea to something customers actually use.

03

Recovery and re-architecture

It is already live, and failing in ways nobody can explain.

04

Operation and evolution

It works today, and has to keep working as data, costs and customers change.

Client feedback / 04

What it is like to work with us.

Ahmer is very professional and managed to pull off quality work in a very short span of time.
Karim TribakCEO & Co-Founder, Shelfr
Ahmer and the Team [Nixense] exceeded all expectations … I would rehire Ahmer and the team any time for AI projects.
AI PlatformTeam engagement
He has the amazing ability to not only see the immediate problem, but to see several layers deep.
Computer Vision ProductSeveral years of work together
It was an absolute pleasure to work with him on our image recognition software project, which surpassed our expectations … he met every project deadline ahead of schedule.
Braum KatzCEO, Canary
It is our absolute pleasure to recommend Ahmer Saleem from Nixense Vixion … honest, dependable, and incredibly hardworking.
Nick KoukoulakisCo-Founder & CEO, Synthesys AI Studio
Ahmer and his team … always trying to provide the best idea for our project.
Speech-to-Text EngineClient review
Ahmer's skills were by far exceptional. He did an amazing job understanding my requirements … going above and beyond in delivering the final solution.
Munish SharmaBusiness Transformation Leader

Bring us the system that has to work.

Tell us what you are building, what is uncertain, and where you need engineering ownership.

Discuss a system
Principal review[email protected]Pakistan · Working internationally