Newton Research builds a multi-agent AI platform that automates complex marketing analytics workflows for brands, agencies, publishers and platforms. The system is composed of specialised AI agents, pre-trained on real marketing analytics use cases, which work alongside human analysts rather than replacing them. The technical stack spans agentic AI, large language models, data science, media mix modeling and forecasting, with agents handling tasks such as campaign reporting, customer 360 analysis, media mix modeling and measurement and insight generation.
Reported performance figures include over 300% more accuracy on benchmark tests than leading general-purpose LLMs. The company says its agents help teams achieve 10x more output and save up to 126 hours per month on repetitive tasks. The founding team has more than 70 combined years of experience in marketing analytics and data science, and the company was started by repeat entrepreneurs.
Newton Research operates a human-in-the-loop model in which AI agents work alongside analysts across planning, activation and measurement. The platform is deployed within customer environments such as Snowflake and Databricks, so data does not leave the organisation. The stated aim is to widen access to sophisticated analytics for business users.
