Technology intelligence and technographic data for B2B go-to-market teams
HG Insights sells technographic and IT-spend intelligence to B2B sales and marketing teams, built on a Spark, Databricks, Scala and Airflow data stack running on AWS EMR and Kubernetes. Hiring is accelerating and marketing-led, skewed toward senior and principal talent, while job posts center on review generation and an entity matching and attribution system. That pairing suggests a push on both data accuracy and peer-review-driven demand.
HG Insights, founded in 2010 and headquartered in Santa Barbara, California, provides technology intelligence for B2B go-to-market teams. Its data covers technographics, IT spend, cloud usage, intent signals and contract details, used for market analysis, account scoring, data enrichment and prospect targeting. The privately held company has 51–200 employees and currently hires in the United States. Its own revenue stack includes Salesforce, Marketo, Outreach, LeanData and 6sense.
HG Insights runs Apache Spark, Databricks, Airflow, Python, Scala and Java on AWS with Docker, Kubernetes and Terraform, plus Salesforce, Marketo, Outreach and Tableau, Looker and Power BI for analytics.
Yes. Hiring is accelerating, led by marketing, with additional roles in data, support, design, HR and product, mostly at senior and principal levels, all in the United States.
Job posts point to an entity matching and attribution system, a review generation and reviewer community program, sales and marketing pipeline building, and scaling customer success processes.
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HG Insights'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.