Our work

A sample of what we build and ship.

The case studies below are representative of the type, scope, and outcome of engagements we deliver. They are illustrative composites, not disclosures of a specific client's confidential data — client names and logos are withheld under standard NDA practice.

Fintech Platform Modernization

Rebuilding a fintech dashboard for real-time scale

Problem: A mid-market payments company's operations dashboard was built on a decade-old monolith. Report generation took minutes, data was routinely hours stale, and every new metric required a schema migration that risked downtime.
Approach: We extracted the reporting layer into an event-driven service, replaced batch ETL with a streaming pipeline, and rebuilt the front end as a componentized dashboard that operations staff could configure themselves — all migrated incrementally behind a feature flag so the legacy system stayed live throughout.
Result: Dashboard load times dropped from minutes to under two seconds, data latency fell from hours to seconds, and the operations team shipped nine new self-serve metrics in the following quarter without engineering involvement.

Logistics Applied ML

An AI routing engine for regional freight

Problem: A regional freight operator planned routes with static, manually maintained rules that ignored live traffic, weather, and driver availability — leaving fuel and delivery-time savings on the table every day.
Approach: We built a routing engine combining a constraint solver with a learned cost model trained on historical delivery data, exposed through an API their dispatch tool called in real time, with a human override on every suggested route during rollout.
Result: Average route distance fell by 14%, on-time delivery rate improved by 11 percentage points, and dispatchers kept full override control throughout, which was decisive for driver-team adoption.

Healthtech Product Engineering

A patient portal built for compliance and comfort

Problem: A multi-clinic healthcare provider relied on phone calls and a dated web form for scheduling and records access, driving high no-show rates and a steady stream of front-desk calls that could have been self-service.
Approach: We designed and built a patient portal covering appointment booking, secure record access, and reminders, engineered to regional health-data handling requirements from the first architecture review rather than retrofitted before launch.
Result: No-show rates dropped by 23% after automated reminders launched, and front-desk call volume fell by roughly a third within two months of general availability.

Retail Applied ML

A personalization engine for an online retailer

Problem: An online retailer showed every visitor the same generic homepage and category ordering, leaving conversion on the table for returning shoppers with a clear, trackable purchase history.
Approach: We built a lightweight recommendation and re-ranking service trained on browsing and purchase history, integrated behind an A/B test framework so every change to the ranking model was measured against a control group before full rollout.
Result: Personalized category pages lifted click-through rate by 19% and average order value by 8% against the control group, with the ranking service now running as a permanent part of the platform.

Your project could be next

Let's talk about what you're building.

Start a conversation Explore services