Case Studies

Results you can put a number on

Every engagement is measured against a business metric we agree on before writing any code. Here's how that plays out in practice.

Fitness / Performance Analytics

38% rise in session engagement after AI coaching rollout

Challenge: A fitness app had thousands of users logging workouts daily but could only show them their own raw numbers back. Coaching stayed generic, retention plateaued, and the gap between tracking and actually improving stayed wide.
What we built: An AI analytics layer that processes each user's workout history, biometric trends and session patterns to generate personalized performance insights and adaptive next-step recommendations, surfaced in-app without rebuilding the existing product.
Result: The app moved from a passive tracker to an active coaching layer. Session engagement rose 38%, users spent more time acting on recommendations than logging data, and early-stage churn dropped in the first two months.

E-commerce / Search & Discovery

+27% conversion lift from intent-aware search

Challenge: An online retailer's storefront search matched on keywords only. Shoppers typed full sentences describing what they wanted and got back results ranked by whichever product happened to contain one matching word. Search abandonment was high, and merchandising had no way to fix it without an engineering ticket.
What we built: An AI-powered search and recommendation layer that understands shopper intent, not just tokens, ranking results against the actual catalog, inventory and behavioral signals. Merchandising could tune ranking rules directly, without waiting on engineering.
Result: Conversion from search rose 27%, search abandonment dropped sharply, and the merchandising team started shipping ranking changes themselves the same week they were requested.

Advertising / Creative Intelligence

8× faster creative output, brand quality maintained

Challenge: An advertising team was producing creatives manually at a pace that could not keep up with campaign volume. Every variant was a separate job, performance analysis lived in spreadsheets, and production delays pushed launch dates back across the board.
What we built: An AI creative platform that generates on-brand ad variants at scale from a brief, analyzes performance patterns across live campaigns, and feeds results back into the next generation cycle so each round improves on the last.
Result: Creative production time dropped by a factor of eight. The team shifted from making assets to directing AI output, campaigns hit their launch dates, and the analysis loop that had lived in spreadsheets became part of the platform.

Healthcare / Document Intelligence

40% faster claims processing in 90 days

Challenge: A healthcare provider was processing thousands of claims documents by hand, creating a multi-week backlog and a rising error rate that compliance flagged twice in one year.
What we built: An AI document pipeline that extracts, validates and routes claims data automatically, with human review reserved for cases where confidence is low enough to warrant it.
Result: Processing time dropped 40%, manual errors fell sharply, and the backlog cleared within the first quarter of operation.

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