Scaling an AI learning platform to 8M+ users.
StudyFetch needed LLM-powered study tools that actually held up under real load. We embedded as the founding AI engineer plus a contracting team, shipping the AI features students use every day and scaling the infrastructure behind them from thousands of users to more than eight million.
Growing faster than the AI could keep up.
StudyFetch was scaling fast and needed LLM-powered study tools that worked at production scale, plus the infrastructure to serve them reliably to millions of students. They didn't have a large in-house AI team to build it, and couldn't afford to learn on the way up.
They needed a team that could own the AI end to end: build the features, make them accurate and cheap to run, and keep them standing as usage climbed into the millions.
Owned the AI, end to end.
AI study tools, in production
We shipped the LLM features students use every day: generating study material, answering questions over their own uploads, and turning documents into practice. Built to be fast, accurate, and cheap enough to run at eight-figure scale.
LLM engineering & evals
Prompts, retrieval, and model routing tuned against real usage, with evals so quality held as the product changed. We treated the AI as production software, not a demo that breaks the moment traffic shows up.
Infrastructure & scaling
We scaled the systems behind the AI from thousands of users to more than 8M, absorbing load spikes around exam season without the cost curve running away. Reliable at the scale where reliability is the whole product.
The AI became core to the product, at 8M-user scale.
The platform serves millions of students reliably, the AI features ship to production every day, and we're still the team they call for the next thing.
students on a platform we helped build.
to ship each AI feature to production.
proofs of concept. Everything shipped to production.
What we built it on.
Want this for your platform?
A 30-minute call with an engineer who would actually build it. We tell you what we'd ship first and what it costs.
Analyse — AI analytics at 1M+ daily requests
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