Autonomous Demand Forecasting Engine
Built a real-time ML pipeline for a mid-market retail chain — cutting inventory waste and eliminating stockouts through SKU-level demand intelligence.
Every engagement we take on is built around a specific business outcome. Here is what that looks like in practice — from AI systems that cut forecasting errors in half, to cloud migrations that reduced infrastructure spend by over 40%, to security programs built from scratch in under six months.
Built a real-time ML pipeline for a mid-market retail chain — cutting inventory waste and eliminating stockouts through SKU-level demand intelligence.
Migrated a legacy monolithic SaaS platform to containerized microservices on Azure — delivering 41% infrastructure cost reduction with zero service interruption.
Guided a Series B fintech company from zero security posture to full SOC2 Type II certification — unblocking $4M in enterprise contracts in the process.
Deployed a computer vision model assisting radiologists with anomaly detection in chest X-rays — reducing review time by 60% while maintaining clinical oversight.
Consolidated 14 data sources into a unified Snowflake lakehouse — delivering real-time risk dashboards and reducing regulatory reporting time from 3 days to 4 hours.
Rebuilt a legacy e-commerce platform into a headless PWA architecture — achieving sub-1.5s load times and handling 100× Black Friday traffic spikes without degradation.
Connected 240 factory floor sensors to an AWS IoT backend with ML-powered anomaly detection — predicting equipment failures weeks in advance and eliminating unplanned downtime.
Built a multi-agent orchestration system that autonomously handles customer onboarding, contract processing, and support ticket resolution — eliminating 18 FTE hours per day.
Designed and implemented a full zero-trust security architecture for a provincial government agency — achieving PBMM Protected B compliance and passing a CCCS security assessment.
Unified POS, web, app, and CRM data streams into a real-time customer intelligence platform — enabling cross-channel personalization that lifted average order value by 28%.
Built a WCAG AA accessible telehealth platform serving 40,000 patients — deeply integrated with Epic EHR, supporting bilingual care, and operating at 99.98% uptime.
Audited and restructured AWS infrastructure for a high-growth fintech — cutting annual cloud spend by $1.2M through right-sizing, reserved instances, and architectural refactoring.
Our track record is not luck. It is a repeatable delivery framework that removes guesswork and keeps every engagement on time, on budget, and on outcome.
Every project starts by defining the measurable outcome — not the feature list. We work backwards from business impact to technical requirements, not the other way around.
Every case study on this page was delivered by senior engineers with 8+ years of domain experience. No juniors, no outsourcing. You get the same team start to finish.
Clients see progress in real time — shared Slack channels, weekly written updates, sprint reviews, and a live project board. No black boxes, no surprises at the end.
Every engagement includes a 30-day hypercare period. Most clients stay with us long after launch — 97% retention is the result of genuine ownership, not lock-in.
Book a free 30-minute discovery call with a senior engineer. We will assess your goals, identify the highest-impact opportunities, and give you an honest recommendation — no commitment required.