DataBahn raises $40M Series B for enterprise telemetry controls
Insight Partners led DataBahn’s $40M Series B as the startup pitches a control layer for telemetry used by security tools and AI agents.
By Wei-Lin Zhao · AI Correspondent
· 3 min read
DataBahn raises $40M in a Series B round led by Insight Partners to build out what it describes as an agentic data control plane for enterprise telemetry. The round brings total funding to $59 million, following a $17 million Series A led by Forgepoint Capital in June 2025, but DataBahn did not disclose its valuation, headcount or revenue.
Existing backers Forgepoint Capital, GTM Capital and S3 Ventures also joined the new financing. DataBahn said the capital will go toward research and development and toward moving its product beyond large global enterprises into the mid-market. The company plans to show new platform features at Black Hat USA 2026.
What does DataBahn do?
Founded in 2024, DataBahn sells software that sits between enterprise systems that produce telemetry and the security, analytics and data platforms that use it. The product ingests, normalizes and routes data from more than 600 sources, while removing information that a destination does not require.
The pitch is that enterprises should decide what telemetry moves while the data is still in transit, rather than copying full data sets into another platform first. DataBahn says its software can reduce and enrich data streams, send only the information needed for live operations, and fetch additional business context when needed.
DataBahn also says it is neutral on destinations and AI models, a positioning aimed at buyers wary of routing more operational data into a single vendor’s stack. That claim will matter most in practice where customers have multiple security information, analytics and data warehouse vendors, and where AI copilots or agents are being added to workflows that previously consumed raw logs.
Telemetry costs are a practical driver behind the round. Cloud transfer charges, storage bills and AI inference costs all rise with volume, and security teams already face pressure to retain enough context for audits and incident response without paying to move or store every signal. AI agents add another demand pattern: they generally need context and governed access, rather than undifferentiated log feeds.
What growth metrics did DataBahn disclose?
DataBahn said its partner-led sales model has produced more than 400% year-over-year revenue growth, 180% net revenue retention, no customer churn so far and a 97% proof-of-concept win rate. The company did not provide baseline revenue, customer count or contract values, which limits how much those percentages say about scale.
Customers include Fortune 100 companies in healthcare, financial services, manufacturing and transportation, according to DataBahn. The company named MVB Bank and Canada Pension Plan Investment Board as users. MVB Bank Chief Information Security Officer Parrish Gunnels said DataBahn helped consolidate regulatory requirements, audit controls and validation work into one implementation, reducing costs and shifting staff time toward governance and oversight. Ricardo Henry, who leads security architecture and engineering at Canada Pension Plan Investment Board, said the product made security data onboarding more repeatable and helped expose gaps in log coverage.
Insight Partners Managing Director Max Wolff said enterprise leaders view DataBahn as part of future security architecture. As with most venture capital-backed infrastructure bets, the round is also a bet that a narrow operational pain point can become a broader control layer as AI systems consume more enterprise data.
This story draws on original reporting from SiliconANGLE.
