We build systems that find the signal in the noise.
iSystemsLab designs data pipelines, consensus engines, and full-stack platforms for organizations that need to turn scattered, unreliable data into a single, trustworthy answer.
What the engine returns
Point our consensus and sentiment-analysis pipeline at a real question — a fixture, a market, a headline — and it returns a call, a confidence score, and the sources behind it. Live below: real fixture data from our own TipsHarvester engine, and real news coverage, keyword-scored.
Four ways we turn data into decisions
Each service stands on its own, but they're built from the same underlying skill: getting messy, multi-source, or manual data into a form people can actually act on.
Data pipelines & consensus engines
Multi-source scraping, cleaning, and cross-referencing, with confidence scoring built in. We don't just collect data — we tell you which parts of it to trust.
Sports & betting analytics
Prediction engines, pattern mining, and automated reporting for tipsters, betting operators, and sports media.
Web application development
Full-stack platforms in React, FastAPI, and PHP — built to run on real infrastructure, not just a demo.
Data collection & digitization
Field-ready forms, offline-capable tools, and reporting dashboards for institutions that need to collect and act on data at scale.
From first call to shipped system
One engagement, one point of contact, no handoffs between departments — because there's just one.
Discovery call
We talk through the problem, what's already been tried, and what success actually looks like — before any code gets written.
Working prototype
You see a real, functioning version early — not a slide deck. Usually within days, not months.
Review & refine
You test it against your actual use case, we adjust, and we keep iterating until it holds up under real conditions.
Deploy & document
Live on real infrastructure, with documentation and credentials handed over — not locked to us.
Systems we've shipped
Live products in production. Click through to see them in action.
Multi-source consensus engine
14 scrapers, consensus engine, trust scoring, and React frontend. Automated daily pipelines across independent prediction sites.
Python · FastAPI · React · SQLite tipsharvester.comOffline-first field platform
Offline-capable field data collection platform replacing paper forms, for teams working from remote locations with limited connectivity.
JavaScript · PWA · Chart.js fieldclean.appDigital presence & listings
Full website and digital presence for a property holdings company — listings, contact system, and company profile.
PHP · WordPress · Hosting masakaholdings.comInvoice & document generation
Invoice and document generation tool for small businesses — create, manage, and send professional invoices from a clean web interface.
PHP · JavaScript · Hosting inovicepad.comIsmail Amis Matte
iSystemsLab is a one-person technical studio run by Ismail Amis Matte, a full-stack developer and systems builder based in Kampala, Uganda.
The work spans data pipelines, prediction systems, and full-stack platforms — built for clients who need something that actually works, not a proof of concept. Recent projects range from a 14-source sports data consensus engine to a national institution's field data collection system to cross-border digital transformation packages.
“Build it working first. Make it elegant second. Ship it always.”
Have a data problem?
Tell us what's not working, or what you're trying to build. We'll reply with next steps, not a sales pitch.
Your message is sent via email. We'll respond directly — no spam, ever.