The problems we found, the systems we shipped, and the numbers our clients measured.
Content platform, multi-million users
What we diagnosed: Pinpointed exactly where the recommender was losing users, across recall coverage, ranking, diversity, and cold-start.
Durable data layer and dashboards
What we diagnosed: Mapped the true cost of every query and the hours the whole company lost to a pipeline nobody could trust.
AI ad-video generation
What we diagnosed: Broke down the cost structure of the video-generation pipeline and how often it had to retry to land a usable asset.
Durable data layer and dashboards
What we diagnosed: Traced untrustworthy dashboards to upstream schema drift, then rebuilt them on a storage layer that holds.
What we diagnosed: Found the manual bottlenecks across the internal systems and the internal pipelines, and how many hours each one was quietly eating.
Quick-service food chain, large franchise network
What we diagnosed: Store data sat in separate systems and menu, pricing and staffing ran on field managers' gut feel, so struggling stores went unnoticed and what worked in the best stores never spread.
International division of a film and TV media group
What we diagnosed: With no data platform, market tracking, creator scouting, signing decisions and copyright takedowns all ran by hand, down to staff scrolling YouTube every day.
What we look at: The workflows your customers actually touch, rebuilt AI-native on top of the SaaS you already run.
