Fuel Cycle has launched the Research Harness, an AI framework designed specifically for enterprise market research teams. The system enables AI agents to maintain consistent context, retain memory across research studies and ensure traceability of insights back to their sources. The framework addresses coordination between multiple AI agents handling different research tasks, ensuring they operate from the same parameters and brand guidelines. Unlike general-purpose AI tools, the Research Harness is implemented within each client's own infrastructure, with all data remaining under client control and not used for external model training. The system allows research teams to build on previous studies rather than starting fresh, whilst providing leadership with traceable, defendable insights. Fuel Cycle is now offering early access to select design partners.

Fuel Cycle, an AI-powered consumer intelligence platform, has appointed Daryush Laqab as Chief Product & AI Officer, effective 1 June 2026. Laqab brings over 20 years of experience building enterprise AI products at Google, NVIDIA and JPMorgan Chase. In his new role, Laqab will lead product development as Fuel Cycle builds what it calls the first purpose-built market research AI. At Google, he launched Contact Center AI and Speech-to-Text products, whilst at JPMorgan Chase he led the OmniAI platform. The appointment signals Fuel Cycle's shift from a research platform towards an AI-first intelligence system. The company aims to help Fortune 500 brands generate continuous, actionable consumer insights through automated workflows combining owned audiences, first-party data and analytical tools.