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DataBahn banks $40M Series B to route telemetry for AI agents

TL;DR

  • DataBahn raised a $40M Series B led by Insight Partners, taking total funding to $59M since the company was founded in 2024.
  • The platform ingests, normalizes and routes telemetry from more than 600 sources, forwarding only what the destination needs.
  • The company reports 400% year-over-year revenue growth, 180% net revenue retention, no customer churn and a 97% POC win rate.

The interesting bit of DataBahn's $40 million Series B is what the company thinks enterprise data pipelines are now for. SiliconAngle reports the round was led by Insight Partners, with existing backers Forgepoint Capital, GTM Capital and S3 Ventures following on, taking total funding to $59 million since the company was founded in 2024. Co-founder and chief executive Nanda Santhana frames it plainly: "Traditional data pipelines were built to move data." The new consumers of that data are not human dashboards.

The pitch is an "agentic data control plane" that ingests, normalizes and routes telemetry from more than 600 sources, forwarding only what a destination actually needs and pulling context on demand. Santhana's line about the queue is the tell: "AI agents and copilots have joined the queue, and they want context rather than raw logs." The cost angle sits underneath that, since, in his framing, "cloud ingress and egress fees, storage and AI inference bills all scale with volume." Every byte forwarded is a byte someone pays to store and, increasingly, a byte a model pays to read.

Why this matters if you don't run a SIEM: the layer between raw enterprise systems and the tools that consume them has quietly become the place where cost, latency and governance are actually decided. If agents rather than analysts become the dominant consumer of that stream, the control plane that filters and enriches on the way through is where a lot of the AI bill either gets contained or explodes.

The honest caveats are the usual ones for a two-year-old company. The reported 400% year-over-year revenue growth, 180% net revenue retention, zero customer churn and 97% proof-of-concept win rate are self-reported and unaudited, the kind of numbers that look extraordinary until sales cycles lengthen and the denominator grows. The reporting names Fortune 100 customers in healthcare, financial services, manufacturing and transportation but not the customers themselves, and it does not disclose pricing, headcount or how much of the "agentic" work is actually done by AI versus rules-based routing.

Insight's check and the planned Black Hat USA 2026 previews suggest the bet is that this is a standalone category rather than a feature the observability incumbents will absorb. That is the part worth watching over the next year.