We don't just ship code — we engineer outcomes. Each project below is a deep dive into a challenge we solved, the technology we chose, and the measurable results we delivered.
A Pakistani agri-tech startup needed to move beyond manual crop monitoring. We designed and built FluxSense: a full-stack IoT platform with edge-AI sensors, MQTT telemetry, and a real-time ML inference engine that predicts soil health, irrigation need, and pest risk — all visible through a single farmer-facing dashboard.
Every project in this grid is a problem that kept someone up at night — until we solved it.
Embedded a real-time vibration analysis model into STM32-based variable frequency drives. Fault warnings now appear 48 hours before mechanical failure.
Built a multi-tenant analytics SaaS for e-commerce brands. Ingests Shopify + custom APIs, runs ML anomaly detection, and visualises KPIs with sub-second latency.
Cross-platform mobile app for a private clinic network. Wearable data feeds an on-device ML model for early deterioration alerts, with offline-first architecture for low-connectivity environments.
Deployed 200+ edge nodes across a regional utility's distribution network. Each node streams power quality data to a central cloud dashboard with automated anomaly reporting.
Built a scalable multi-vendor marketplace from scratch for a Middle East retail group. Handles 50k+ daily sessions with a sub-200ms TTFB, full payment gateway integration, and Arabic RTL support.
Developed a quantised neural network running directly on Cortex-M4 to classify air quality from multi-gas sensor arrays — no cloud dependency, no latency, 3µA average current draw.
A Lahore-based agri-tech startup had 800+ smallholder farmers using paper-based irrigation logs. Crop losses from over-watering and delayed pest response were running at 15–20% per season. They needed a system that a farmer with no technical background could trust and use.
We broke the challenge into three layers: edge hardware that survives a Pakistani summer (55°C+), a cloud pipeline that works on 2G, and a dashboard a non-literate farmer can read in Urdu.
After a 6-month pilot across 120 farms, water usage dropped by 34%, average yield improved by 2.1×, and the platform achieved 99% sensor uptime despite challenging field conditions. The client secured Series A funding citing FluxSense as a core differentiator.
Every project in this page followed the same rigorous process — and got the same quality of output.
We dig into your problem before touching a line of code. Root cause analysis, constraint mapping, and technology selection happen here.
System architecture, data flows, API contracts, and UI wireframes are locked before a sprint begins. No surprises mid-build.
Two-week sprints, weekly demos, and a shared project board you can check any time. You see progress — not promises.
Production deployment, documentation, and a support window. We don't disappear at go-live — we make sure it sticks.
"The team at Cosmos Algos didn't just build what we asked for — they challenged our assumptions and delivered something far better than we envisioned."
"Their embedded engineers know things that most software houses have never even heard of. The firmware they wrote for our VFD system has been running flawlessly for 14 months."
"Six months in, we had a product our investors called 'the most technically impressive demo they'd seen from a Pakistani startup'. That's Cosmos Algos."
Every project above began with someone describing a problem they couldn't solve. Tell us yours.