AI-driven marketing measurement combining MMM, incrementality and attribution
Lifesight builds a marketing measurement platform that blends mix modeling, incrementality testing and causal attribution for marketing and finance teams. Its stack pairs BigQuery, Vertex AI and Cloud Spanner with LangGraph, LangChain, LlamaIndex, RAG and MCP, pointing to an agent layer built on GCP. Hiring is accelerating and tilted toward sales and marketing, while job posts flag adoption barriers and renewal risk, suggesting customer retention is now a priority.
Lifesight, founded in 2017 and headquartered in New York City, develops software that measures the incremental impact of marketing spend. The platform unifies Marketing Mix Modeling, incrementality experiments and causal attribution, with AI agents handling forecasting, budget optimization and anomaly detection. It serves marketing and finance teams at brands seeking a single view of marketing ROI. The privately held company has 201–500 employees and recruits in the United States, India and Bulgaria.
Lifesight uses Python, BigQuery, Cloud Spanner, Vertex AI, TensorFlow and PyTorch on GCP and AWS, plus LangGraph, LangChain, LlamaIndex and MCP for AI agents, with Salesforce and HubSpot for go-to-market.
Yes. Hiring is accelerating, weighted toward sales and marketing with some engineering and support roles, mostly at senior and lead levels across the United States, India and Bulgaria.
Lifesight is headquartered in New York City, New York, and has 201–500 employees. It was founded in 2017.
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Lifesight's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.