AI & Data Science
AI & Data Science Services
Production AI features that hold up past the demo
Most AI projects stall in the gap between an impressive demo and a production feature. That gap is where we work. Crossing it takes structured outputs that don't break your UI, moderation that protects your users, and retries and fallbacks for flaky model APIs. Most of all, it takes unit economics that survive contact with a real user base.
We shipped a consumer AI product to the App Store: a children's storybook creator that orchestrates text generation, character-consistent image generation, and narration into one pipeline. Every generation is priced to be profitable. The same engineering carries over to your product, where LLM features get wired into real workflows and the cost, latency, and safety questions are settled up front.
If you have data but aren't sure where AI fits, a short discovery engagement usually settles it: which opportunities matter most, and what order to build them in.
One we already shipped
Read how Once Upon A Us keeps AI-generated characters consistent across a whole book, generates pages in parallel, and maps pricing tiers to generation cost.
- LLM integration with structured outputs
- Pipelines that combine text, image, and audio
- Prompt moderation and content safety
- Cost engineering, plus graceful fallbacks for when a model API fails
- Predictive modeling and forecasting
- Classifiers and recommenders
- Model deployment, and the monitoring to go with it once it's live
- Evaluation that goes beyond vibes
- Exploratory analysis and dashboards
- Metric design, and the instrumentation behind it
- A/B testing and experiment review
- A read on whether you're ready for AI yet
How We Work
Discovery
We map your data, workflows, and goals against the AI opportunities with real ROI. Where AI is the wrong tool, we'll tell you.
Build
We build the feature end-to-end: model integration, pipeline, UI. Cost and safety constraints hold from the first iteration.
Handoff
You get monitoring, evaluation harnesses, and documentation so the system keeps improving after we leave.