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▪ Analytics

AllFactors

We built a retrieval layer that lets analysts ask questions of raw market data in plain language and get grounded answers.

RAG and knowledge systems, product engineering

▪ The Numbers

8 hrs

saved per analyst weekly

grounded

answers, cited to source

10x

faster research cycles

The challenge

AllFactors sits on a mountain of market data. The value was locked behind manual research: analysts spent hours finding, cross-referencing, and summarizing before they could answer a single question. Speed was the product, and the manual layer was slowing it down.

What we built

We built a retrieval-augmented knowledge system over their data. Analysts ask questions in plain language and get answers grounded in the underlying sources, with citations so nothing is taken on faith. The system is engineered for production: access controls, evaluation on answer quality, and monitoring so accuracy holds as the data grows.

The result

Research cycles that used to take a morning now take seconds, and every answer points back to its source. Analysts got roughly eight hours a week back, and the platform got measurably faster at its core job.

It answers in seconds what used to take a morning of digging, and it shows its sources.

AllFactors research team