Software architecture studio · Wyoming, USA

Architecture, taxation-scale systems, and AI that actually does the work.

Cognitive Quantum designs production software for teams that cannot afford theatre: national tax platforms, marketplace APIs, agentic AI, and products we operate ourselves. We architect it, ship it, and stay after launch.

  • Taxation at national scale Chief architecture on IRIS 2.0 for PRAL / FBR — a state tax platform rebuilt as microservices so the same workload ran on far less resource.
  • Marketplace APIs Amazon, eBay, Walmart, Shopify, Home Depot — listings, inventory, orders, and price through the platforms’ own APIs.
  • Agentic AI, not chat theatre Agents that call tools, update catalogs, and move work through a process — CogniQ and operational workflows included.

Who we are

A small senior team, not a staffing bench.

Most of our careers were spent inside demanding production environments — national taxation systems for PRAL / FBR, clinical software, marketplaces, and research labs. Cognitive Quantum is the company we formed to do that work on our own terms: architecture first, delivery with the people who designed it, and products we actually operate.

We are a Wyoming LLC. Delivery is remote, senior, and hands-on. CogniQ is our public product. Everything else is commissioned work, research we can discuss, or systems we helped shape without claiming them as ours.

Taxation Healthcare Legal practice Amazon eBay Walmart Shopify Home Depot Agentic AI Front-end design Document intelligence Staffing

Services

What we are hired to do

Architecture that survives national load. Agentic AI that takes action. Marketplace APIs that keep catalogs, stock, and orders in sync. Front-end that ships. Quality and data that do not get bolted on later.

Software architecture

Service boundaries, data contracts, and delivery models for systems that must scale and stay operable. Java / Spring, Python, Angular, microservices, and event-driven designs — including Kafka-backed pipelines.

Full-stack product engineering

We take a product from domain model to a UI people can actually use. Interactive clinical canvases, client portals, marketplace backends, and the APIs that sit between them.

Front-end design

Visual and interaction design for production software — layout, hierarchy, and the interface itself — then implemented in Angular, React, and related stacks. Not a mock that dies in Figma; the screen that ships.

Agentic AI

Agents with tools, memory, and permission to act: refresh a listing, route a document, score a risk, open a ticket. Not a chatbot that describes the work. The system that does it — with an audit trail.

Marketplace APIs

Amazon SP-API, eBay Sell/Inventory, Walmart Marketplace, Shopify Admin/Storefront, Home Depot vendor feeds — listings, inventory, orders, and price through the platforms’ own APIs, not a spreadsheet night shift.

Applied AI & predictive analytics

Classification, regression, and operational ML with Scikit-learn and PyTorch. Research in health-risk scoring and policy prediction is now productized in CogniQ for tabular AutoML.

Cloud, platforms & delivery

AWS, Azure, Kubernetes, WSO2, CI/CD, and observability. Architecture is useless if it cannot be deployed, watched, and rolled forward. This is a first-class practice, not an afterthought.

Data architecture

Oracle, PostgreSQL, MySQL, and SQL Server — schema design, performance, and the unglamorous work of keeping operational data trustworthy under load.

Quality engineering

Release discipline, test strategy, and QA leadership. Quality is a named function here, led by someone who ran it for national-scale systems — not a checkbox at the end of a sprint.

Marketplace platforms

One catalog. Every channel. Official APIs.

If you sell on Amazon, Walmart, eBay, Shopify, or Home Depot, the bottleneck is rarely “can we list a SKU.” It is keeping inventory, price, and orders honest across every storefront without a night shift of spreadsheets. We integrate the platforms’ own APIs — Selling Partner, Sell/Inventory, Marketplace, Admin/Storefront, vendor feeds — so the commerce layer moves with the rest of the business.

Amazon

Selling Partner API (SP-API)

Listings, catalog, inventory, orders, pricing, and feeds. Multi-vendor stock and price sync that survives the next API version.

eBay

Sell API · Inventory API

Offers, inventory, fulfillment, and order pull. The same catalog that hits Amazon can hit eBay without a second ops team.

Walmart

Marketplace APIs

Items, inventory, orders, and price. Walmart’s rules are not Amazon’s; the integration has to know the difference.

Shopify

Admin API · Storefront API

Themes, catalogs, checkouts, webhooks, and the operational workflows behind the store — not a theme pack left on the doorstep.

Home Depot

Vendor & marketplace APIs

Supplier catalogs, inventory, and order paths into a retailer that does not forgive stale stock.

And the rest of the shelf

Feeds · REST · webhooks

CSV, FTP, and REST alongside the big five. If a channel has a documented API, we will put your catalog on it.

Connect your marketplaces

Not a partnership badge. We integrate the APIs you already sell through.

Agentic AI

Give the model a job. Give it tools. Watch it finish.

Most “AI” on a sales call is a chat window. Agentic systems plan a task, call APIs, update records, and stop when the work is done — listing a SKU, extracting an invoice, scoring a tax-risk file, opening a human review when confidence drops. We design the tools, the permissions, and the audit. CogniQ is the predictive engine; agents are how it enters the working day.

  • Tool-using agents Marketplace, ERP, and document APIs — not a prompt with no hands.
  • Human in the loop Low-confidence work is queued, not silently guessed.
  • Observable Every action is logged. If an agent listed the wrong item, you can see why.
  • Domain-bound Taxation, commerce, healthcare, legal — agents that know the process, not a generic bot.

Achievements

Outcomes we can stand behind

Not a trophy wall. These are results from products we built, research we led, and systems we helped take to production.

Healthcare product

Operative notes in about ten minutes

VascuNote replaced a dictation-and-transcription cycle with an interactive vessel canvas. Surgeons leave with the operative report, CPT-coded charge sheet, and CMS payment estimate in the same pass.

Research → product

A lab predictor that became CogniQ

Three predictive platforms at SZABIST’s analytics lab — health-risk scoring, infant-mortality prediction, and a domain-agnostic numeric engine. That last system is now a commercial AutoML product.

Commerce

Catalogs that reach Amazon, Walmart, eBay

Vendor feeds over CSV, FTP, and official APIs — Amazon SP-API, eBay Sell/Inventory, Walmart Marketplace, Shopify Admin/Storefront, Home Depot vendor paths — with stock and price kept in sync.

End-to-end delivery

Products we built, not decks we advised

VascuNote, RocketCase, CandidTrack, taxi operations, and CogniQ were designed, written, and put into production by this team — including the front-end the user actually touches.

Practice

Four principals, one delivery line

Architecture, AI and business development, quality leadership, and databases — each owned by someone who has run that function for a career, not a contractor we found last week.

Selected work

What we can put our name on

Years of full-time employment produced systems we are not at liberty to list as Cognitive Quantum case studies. Those years still inform how we work. What follows is work we built as independent engagements, lab research we led, contributions we can describe without claiming the product, and the product we operate ourselves.

Contribution · taxation · state-owned

IRIS 2.0 — Inland Revenue Information System

IRIS is the national tax platform of Pakistan, owned by PRAL (Pakistan Revenue Automation) for the Federal Board of Revenue. Cognitive Quantum does not own IRIS. As an employee, our founder served as chief architect on the 2.0 programme: taxpayer registration, NTN, returns, assessment, demand and arrears — rebuilt as microservices so a platform that had been resource-hungry could serve the same country on a leaner footprint.

Java / Spring Boot APIs, Oracle, Redis, WSO2 for inter-service integration, Grafana and Prometheus for operations, Angular at the edge. This is the taxation domain we still design for.

Chief architect (employee) Microservices Spring Boot Oracle WSO2 Taxation

Our product

CogniQ

A hosted AutoML engine: upload or connect tabular data, map features, run an algorithm tournament, deploy a model, and call predictions from your own systems. Born from lab work on numeric prediction; now a commercial SaaS product.

PythonJava / SpringReactAWS SageMaker

Healthcare · delivered end to end

VascuNote

Clinical documentation platform for vascular and endovascular physicians. Surgeons document angioplasty, stenting, atherectomy, and related procedures on an interactive vessel canvas. The system writes the operative report, CPT-coded charge sheet, coding explanation, and CMS-based payment estimate — compressing documentation that used to take a dictation cycle into about ten minutes.

JavaGWTHibernateHL7MySQL

Legal · delivered end to end

RocketCase

Client communication portal for legal practices: case updates, document requests, and hearing reminders, synchronized with Clio. Built as a complete Spring Boot product and deployed to production — intake through document workflow, not a slide-ware integration.

Java / Spring BootPostgreSQLClioHeroku

Research lab · led & built

Predictive health systems

At SZABIST’s Predictive Analytics Lab we designed and built three platforms: disease-risk classification for early intervention, an infant-mortality predictor from healthcare and socio-economic data, and a domain-agnostic numeric predictor. The last of these is the direct ancestor of CogniQ.

Pythonscikit-learnDjangoPostgreSQL

Staffing · delivered end to end

CandidTrack

A recruiting marketplace: employers post roles, agencies submit candidates, vendors interview and return structured feedback. Built as a complete web product for a US client — hiring workflow, not a brochure site.

Java / StrutsHibernateMySQL

Mobility · freelance, delivered

Taxi operations suite

Two production systems for taxi operators: school-run account management with invoicing, and a public booking flow that calculates distance-based fares and takes payment before the ride. Practical software for a business that runs every morning, not a concept app.

PHP / CakePHPMySQL

Engineering contributions

On the following, we were senior contributors — not the sole authors, and not the product owners. We list them because the work is real, and because claiming the whole product would not be.

  • IRIS 2.0 (PRAL / FBR). Chief architecture on the national tax system’s microservices revamp. IRIS remains a state-owned platform; the achievement is the architecture, not the trademark.
  • Multi-channel marketplace operations. Vendor onboarding, CSV/FTP/API catalog feeds, and stock/price sync out to Amazon and eBay, with Kafka-backed pipelines and Kubernetes. Contribution to an existing US e-commerce platform. Shopify, Walmart, and Home Depot APIs sit on the same commerce practice.
  • Intelligent document processing. Extraction and classification across invoices, contracts, and handwritten forms — OCR, matching, and ERP-adjacent automation. Contribution to a European IDP product.

Team

The people who actually do the work

Four principals. Combined, nearly eight decades in architecture, AI, business development, quality, and data. We hire specialists when a project needs them; we do not hide behind a logo.

Ali Fida

Ali Fida

Founder & Principal Architect

17+ years designing and shipping full-stack systems. Chief architect on IRIS 2.0 (PRAL / FBR) as an employee. Hands-on: Java, Python, Angular, microservices, and applied ML. Leads product (CogniQ) and client architecture.

Anwar Jalil

Partner & Co-founder · AI & Business Development

18+ years in AI and business development. Leads how we take the practice to market — partnerships, client relationships, and applied AI in real engagements.

Shafqat Mehmood

Head of Quality

20+ years in quality engineering, including as Head of QA at PRAL. Release discipline, test strategy, and the unfashionable work of not shipping fiction.

Azeem Shoukat

Head of Databases

Around 20 years in data platforms. Schema, performance, and operational integrity across Oracle, PostgreSQL, MySQL, and SQL Server.

Product

CogniQ lives here, and on its own site.

Cognitive Quantum is the company. CogniQ is the AutoML product — accounts, pricing, and support are on the product surface. This page is the studio. That one is the engine.

Contact

Tell us what you are trying to ship.

Architecture reviews, a tax-domain rebuild, marketplace APIs, an agent that should be allowed to act, CogniQ for your team — or a conversation about whether we are the right fit. We answer within 24–48 business hours.