The unsexy layer AI agents actually need: DataBahn raises $40m to sell it

DataBahn, a Texas-based startup founded in 2023, has raised $40 million in a Series B round led by Insight Partners, with participation from Forgepoint, GTM Capital, and S3 Ventures, bringing its total funding to $59 million. The company sells an 'agentic data control plane' that manages data flow between enterprise systems and AI agents, addressing rising data and AI inference costs. DataBahn reports revenue up more than 400% year on year, 180% net revenue retention, and no customer churn, with clients including MVB Bank and the Canada Pension Plan Investment Board.

The glamorous part of AI is the models. The expensive, unglamorous part is getting them the right data. A startup just raised $40 million betting that job is the next big enterprise layer. DataBahn, a Texas company founded in 2023 https://www.securityweek.com/databahn-raises-40-million-for-agentic-data-pipeline-management/ , has closed a $40 million Series B led by Insight Partners, it said https://www.databahn.ai/press-releases/databahn-raises-40-million-series-b-led-by-insight-partners on Thursday. Forgepoint, GTM Capital and S3 Ventures joined. The round takes its total funding to $59 million. DataBahn sells what it calls an “agentic data control plane.” In plain terms, it is a neutral layer between the systems that produce enterprise data and the ones that consume it, from security tools to data warehouses and, now, AI agents. Rather than shovel every log into every system, it reduces, enriches and routes only what is needed, and pulls extra context on demand. The bill nobody can pay The timing is not an accident. Companies now generate more telemetry than their tools can afford to process. Cloud transfer fees, storage, rising data volumes and AI inference costs https://thenextweb.com/news/ey-ai-router-token-costs are all climbing at once. Moving everything, everywhere, has become a bill few can justify. AI sharpens the problem. Agents do not just answer questions; they act. That needs data that is current, well-structured and governed. A control plane can also decide what an agent is allowed to see https://thenextweb.com/news/onyx-security-113m-series-b-ai-agent-control-plane , and log how each piece of data was changed and routed, a governance job that matters in regulated industries. Less plumbing, more judgment The product tries to move the smarts into the pipe. Cruz AI, its “data engineer,” watches for when a source changes format and breaks a pipeline, then drafts the updated parser for a human to approve. That replaces the slow work of hand-building each connector. The pitch is landing. DataBahn reports revenue up more than 400% year on year, 180% net revenue retention and no customer churn. Fortune 100 firms in healthcare, finance, manufacturing and transport use it, including MVB Bank and the Canada Pension Plan Investment Board. It sells mostly through partners, plugs into Microsoft’s security stack, and grew out of the observability https://thenextweb.com/news/groundcover-raises-100m-to-build-observability-for-the-ai-era and security-telemetry world. A crowded, buzzword-heavy field There is a catch. Cribl, Splunk and the big cloud and security vendors all route and store data, and “agentic data control plane” is a label DataBahn has to prove is a real, separate layer. Its answer is neutrality: no lock-in to one store, one vendor or one model. It will show new features at Black Hat https://thenextweb.com/news/mate-security-50m-funding-ai-security-operations-black-hat next month. The wider bet is simple. The money flooding into https://thenextweb.com/news/bloom-security-20m-seed-ai-enterprise-endpoint AI infrastructure is starting to chase the plumbing, not just the models. DataBahn’s wager is that enterprises do not need to collect more data. They need to govern what they already have well enough for AI to use it. Get the TNW newsletter Get the most important tech news in your inbox each week.