Fuel Cycle Unveils 'Research Harness' AI Framework

In the US, consumer intelligence platform Fuel Cycle has launched the Research Harness, a framework designed to help market research organizations use AI to run 'faster, smarter and more efficiently.'

Currently in development with a selection of clients, the Harness connects the work of different AI agents handling parts of the research process, ensuring they operate from the same context, retain memory across the full lifecycle of a study, and stay aligned to the aims of the research project. Fuel Cycle says each new study builds on the last, with context 'never lost between handoffs,' while findings can be traced back to their source.

Fuel Cycle's research, technical and customer teams work to implement and customize the Research Harness within each client's environment, building workflows around the studies clients have already run and the existing procedures of their insights function. Nothing is used to train external models, so organizations retain complete ownership and control of their research assets.

Daryush Laqab, Chief Product & AI Officer says the new solution is 'a co-ordination layer,' ensuring 'that a survey-design agent and a data-quality agent and an analysis agent are operating off the same brief, the same audience rules, and the same brand guardrails, and that a research director can see exactly what each one did and why.' Chief Strategy Officer Rick Kelly (pictured) adds: 'Researchers don't lose trust in AI because it gets an answer wrong once. They lose trust when they can't explain how the system got there. The Research Harness exists so that every insight Fuel Cycle's agents produce comes with its receipts - the brief it answered, the data it used, and the logic it followed. That's what lets a research team put their name on an AI-assisted finding and defend it in the room.'

The company is on the web at www.fuelcycle.com .