Consumer alternative data and insights for investors and corporates
Consumer Edge packages consumer behavior data into insights for investment firms and corporate buyers, running a multi-cloud stack (GCP, AWS, Azure) with BigQuery, Dataflow, Vertex AI and NLP tooling like spaCy and Hugging Face Transformers. Current hiring is minimal and entirely senior sales, focused on landing new corporate clients, mining whitespace in existing accounts and protecting net revenue retention, which points to a push beyond the core investor base.
Consumer Edge is a New York-based, privately held alternative data company founded in 2009, with 51–200 employees. It delivers consumer behavior data, research and analytics as a service to hedge funds, private equity, venture capital firms, corporates and data partners. Its data platform runs on GCP, AWS and Azure, with pipelines built on BigQuery, Dataflow and Dagster and machine learning work in PyTorch, TensorFlow and MLflow. Commercial teams operate on Salesforce, Outreach and ZoomInfo, and current hiring is concentrated in the United States.
Consumer Edge uses GCP, AWS and Azure with BigQuery, Dataflow, Vertex AI, Dagster and MLflow, plus Python, Go, Rust and TypeScript, Kubernetes with Terraform and Pulumi, and Salesforce and Outreach for sales.
Hiring is minimal and limited to senior and manager-level sales roles in the United States, aimed at acquiring corporate clients, building outbound pipeline and expanding existing accounts.
Consumer Edge is headquartered in New York, NY. Founded in 2009, the privately held company has 51–200 employees.
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Consumer Edge'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.