DataBahn
DataBahn is an AI-native data pipeline management platform that uses agent-driven in-stream intelligence to ingest, enrich, and route telemetry and security data from 500+ sources, primarily serving Fortune 500 enterprise security and data teams.
- Company typePrivate
- Founded2023
- HeadquartersDallas, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What DataBahn does
DataBahn, Inc. is an AI-native data pipeline management platform that targets large enterprises — primarily Fortune 500, Fortune 100, Fortune 50, and Fortune 10 organizations — to manage, optimize, and route telemetry and security data from more than 500 sources across cloud, on-premise, SaaS, and IoT/OT environments. The platform unifies ingestion, enrichment, AI-readiness, governance, and routing through a single architecture centered on the company’s proprietary Autonomous In-Stream Data Intelligence (AIDI) operating model, which is powered by a DataBahn Agent Farm of six specialized AI agents (Forge, Atlas, Compass, Pulse, Signal, Sentry). Modules include Smart Edge for agentless collection, Highway for AI-driven orchestration and schema drift management, Cruz as an autonomous AI data engineer, and Reef as a contextual graph-based intelligence layer for MITRE ATT&CK mapping and AI-ready data delivery. The company is incorporated in Delaware, headquartered in Plano (Dallas metro), and reportedly operates with 51-100 employees.
The company sells primarily through enterprise field sales supplemented by global channel partners (Global Solution Integrators, VARs, MSSPs) and listings on Microsoft Marketplace and AWS Marketplace. Revenue is generated as annual SaaS subscriptions priced by quote based on data volume, source count, and selected feature modules; the pricing model is not publicly disclosed. Documented customer outcomes include up to 60% reduction in Microsoft Sentinel ingestion costs, over 50% reduction in overall telemetry processing costs, and petabytes-scale daily processing. Total disclosed funding is $19 million, including a $17 million Series A in June 2025 led by Forgepoint Capital with participation from S3 Ventures and GTM Capital. The company reports 400% year-over-year revenue growth and a customer base in which over 50% are Fortune 500 organizations as of early 2026.
Beyond core security data pipeline use cases, DataBahn has expanded horizontally into Application, Observability, and IoT/OT Data Fabrics, and has built integration partnerships with Microsoft Sentinel, Splunk, Google SecOps, Exabeam, IBM QRadar, Securonix, Devo, Snowflake, Databricks, Amazon Security Lake, Sumo Logic, and Wiz. The leadership team is founder-led, with Nanda Santhana as CEO and Co-founder, Nithya Nareshkumar as Co-founder and President, and additional executives covering product, architecture, and engineering functions.
DataBahn firmographics
Firmographics- Name
- DataBahn
- Legal name
- DataBahn, Inc.
- Website
- https://databahn.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- DataBahn is an AI-native data pipeline management platform that uses agent-driven in-stream intelligence to ingest, enrich, and route telemetry and security data from 500+ sources, primarily serving Fortune 500 enterprise security and data teams.
- Ownership category
- akta.pro rank
DataBahn industry classification
Industry- Product category
- Security Data Pipeline Management
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
- akta.pro secondary industries
- Data Engineering, Integration & ETL/ELT Services (BPAEAHAB), iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG)
Keywords
Where DataBahn is headquartered
LocationHeadquarters
- HQ city
- Dallas
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
DataBahn business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Platform/SaaS Subscription: AI-native data pipeline platform sold as subscription to enterprises, with pricing based on data volume, source count, and feature tiers. Primarily targets Fortune 500 companies with enterprise contracts.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise platform subscription |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels7 records
DataBahn product offering
Product offeringCore offering
DataBahn provides an AI-native data pipeline management platform that ingests, transforms, enriches, and routes telemetry and security data across 500+ prebuilt connectors. The platform reduces SIEM and telemetry processing costs by 50-60% through AI-driven filtering and reduction rules while delivering AI-ready, enriched data to any destination SIEM or data lake. Its flagship capability, Autonomous In-Stream Data Intelligence (AIDI), embeds six specialized AI agents directly within the data pipeline to interpret, validate, and act on streaming data in real time.
Product overview
DataBahn offers an AI-native data pipeline management platform as a unified product with multiple integrated modules. The core Platform serves as the foundation, supporting 500+ plug-and-play connectors and 900+ built-in reduction rules. The product portfolio includes Smart Edge for agentless data collection, Highway for data orchestration and cost optimization, Cruz as an autonomous AI agent for security data pipelines, and Reef as an AI-ready intelligence hub. The platform was extended in 2026 with Autonomous In-Stream Data Intelligence (AIDI) and the DataBahn Agent Farm featuring six specialized AI agents (Forge, Atlas, Compass, Pulse, Signal, Sentry). DataBahn also offers four vertical data fabric solutions: Security Data Fabric, Application Data Fabric, Observability Data Fabric, and IoT/OT Data Fabric. The platform integrates with Microsoft Sentinel, Splunk, Google SecOps, Exabeam, IBM QRadar, Securonix, Devo, Snowflake, Databricks, Amazon Security Lake, Sumo Logic, and Wiz.
Differentiator
Problem solved
Functional benefit
Brands
- Smart Edge: Data collection and optimization product using agentless technology and edge analytics.
- Highway
- Cruz
- Reef
- AIDI (Autonomous In-Stream Data Intelligence)
Products and services
- DataBahn Platform AI-powered data pipeline management platform that empowers global enterprises with intelligent data pipeline tools to gather, manage, and move data reliably at high speed. Supports 500+ plug-and-play connectors and 900+ built-in reduction rules.
- Smart Edge Agentless data collection product with mesh architecture and edge analytics capabilities that collects data from cloud, on-premise, or vendor sources with instant source onboarding, reduced costs, and resilient data collection at scale.
- Highway Data orchestration product with AI-driven filtering, schema drift management, and cost optimization that automatically cleans, transforms, and routes data to reduce volume and control costs without vendor lock-in.
- Cruz AI Agent AI agent for security data pipelines acting as an AI data engineer in a box, providing autonomous parsing, pipeline automation, and proactive monitoring from start to finish.
- Reef AI Security Insights Layer AI-ready intelligence hub using advanced graph-database technology that turns raw data into clear contextual insights and enables deployment of custom AI-driven agents for security analysis, vulnerability management, and strategic insights.
- Autonomous In-Stream Data Intelligence (AIDI) Advanced operating model that enhances security data pipelines by enabling real-time interpretation, validation, and action on streaming data, shifting intelligence upstream where it belongs.
- DataBahn Agent Farm Six specialized AI agents (Forge, Atlas, Compass, Pulse, Signal, Sentry) operating as a continuous control layer within the data pipeline, handling ingestion, validation, coverage mapping, data health monitoring, completeness validation, and sensitive data protection.
- Security Data Fabric
Quantifiable outcome
- Up to 60% reduction in Microsoft Sentinel ingestion costs
- +7 more outcomes
Companies that use DataBahn
Customer profileNamed customers6 records
Segments4 records
Ideal customer profiles3 records
DataBahn technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration14 records
AI capability7 records
Feature8 records
DataBahn partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered flagship, core and supporting.
- Microsoft (AI Security Ecosystem)flagshipMicrosoft expanding AI-driven security and automation partnerships across its ecosystem centered on Azure and Copilot. DataBahn is among companies collaborating on mission-critical and regulated sector deployments including healthcare and large-scale AI data center deployments.
- MicrosoftflagshipExpanded strategic partnership integrating DataBahn's AI-powered data pipeline with Microsoft Sentinel. The integration allows customers to onboard security data from over 500 sources rapidly and reduces Sentinel ingestion costs by up to 60%. Solution available through Microsoft Sentinel Content Hub and Microsoft Marketplace.
- AWS MarketplacecoreDistribution partnership making DataBahn's AI-powered data pipeline platform available through AWS Marketplace, enabling simplified procurement for AWS customers.
- WizcoreJoined the Wiz Integration Network (WIN) to enhance enterprise cloud security data management and automation. Collaboration allows mutual customers to improve cloud risk detection, automate data routing, and strengthen security postures.
- ExabeamcoreStrategic partnership established as part of Exabeam's 2025 Gartner Magic Quadrant for SIEM recognition. Partnership extends behavioral detections and insider risk capabilities through DataBahn integration.
- Google (SecOps)coreIntegration partnership for Google SecOps (formerly Google Security Operations). DataBahn positions as alternative to Bindplane for Google SecOps deployments.
- SplunkcoreIntegration partnership for Splunk SIEM platform. DataBahn's platform integrates with Splunk for security data pipeline optimization.
- DatabrickssupportingTechnology integration partnership enabling DataBahn's data intelligence platform to work with Databricks for enhanced data processing and analytics.
Scale indicators11 records
Recent moves6 records
Expansion highlights8 records
DataBahn competitors and assessment
Company assessmentDirect peers
- Cribl: Cribl is the most direct competitor to DataBahn: an observability-pipeline vendor (Cribl Stream) that routes, enriches, and reduces telemetry data across security and observability stacks. Like DataBahn, it targets enterprise security/IT buyers with AI-assisted pipeline functionality.
- Bindplane: Bindplane is a direct competitor in security-data pipelines for Google SecOps and other SIEMs, and is explicitly named by DataBahn as a competitor it migrates customers away from in under 4 weeks. Highly comparable product category and buyer.
Broad incumbents
- Datadog: Datadog is a broad observability and security platform with native log-pipeline, ingestion-control, and SIEM-adjacent features. It competes with DataBahn for telemetry budget as a wider-portfolio incumbent that can absorb pipeline functionality.
- Splunk: Splunk (now Cisco) is a core SIEM and observability platform that DataBahn integrates with and also competes against at the pipeline layer. Splunk's own ingest management and pipeline features are a broad-incumbent benchmark for DataBahn.
- Sumo Logic: Sumo Logic is a cloud-native log management and SIEM platform with built-in pipeline and ingest optimization. DataBahn maintains an integration with Sumo Logic and competes for the same observability and security telemetry budget.
- Exabeam: Exabeam is a SIEM and security analytics vendor with which DataBahn has a strategic partnership, but it also competes in the security telemetry and detection space. Comparable as a security-data-layer incumbent.
Emerging players
- Panther Labs: Panther is a security data lake / detection-as-code platform that ingests and normalizes security telemetry into a cloud data lake. It overlaps with DataBahn's Security Data Fabric on the normalization and detection-enablement side, and is frequently evaluated by the same CISO buyer.
- Hunters Security: Hunters is a SOC platform that ingests and correlates telemetry from multiple sources, partially overlapping with DataBahn's pipeline-to-detection story. It is a relevant emerging alternative for security teams seeking a SIEM replacement built on top of normalized data.
- Coralogix: Coralogix is an observability and security analytics platform with built-in data-optimization and pipeline features. It competes with DataBahn in the observability telemetry pipeline space, particularly for cost-conscious engineering teams.
Others
- Confluent: Confluent is a data-streaming infrastructure provider (Kafka) that underpins many enterprise data pipelines. It is an adjacent/infrastructure peer: not a direct competitor to DataBahn, but a complementary platform that large DataBahn customers also deploy.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
DataBahn social profiles
Digital presenceDataBahn financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataBahn leadership team
Management profileNumber of profiles
Profiles5 records
DataBahn funding detail
Funding detailFunding overview
Funding rounds3 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataBahn M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DataBahn
What does DataBahn do?
DataBahn provides an AI-native data pipeline management platform that ingests, transforms, enriches, and routes telemetry and security data across 500+ prebuilt connectors. The platform reduces SIEM and telemetry processing costs by 50-60% through AI-driven filtering and reduction rules while delivering AI-ready, enriched data to any destination SIEM or data lake. Its flagship capability, Autonomous In-Stream Data Intelligence (AIDI), embeds six specialized AI agents directly within the data pipeline to interpret, validate, and act on streaming data in real time.
Is DataBahn a public or private company?
DataBahn is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataBahn founded?
DataBahn was founded in 2023. It employs 101 to 250 people.
Where is DataBahn based?
DataBahn is headquartered in Dallas, United States, in the North America region.
How does DataBahn make money?
One revenue line is on record: platform/SaaS Subscription.
Who are DataBahn's main competitors?
Direct peers on record are Cribl and Bindplane. Broad incumbents are Datadog, Splunk, Sumo Logic and Exabeam. Emerging players are Panther Labs, Hunters Security and Coralogix. Confluent is listed as an others.
Does DataBahn have an API?
No public API is recorded for DataBahn.
What industry is DataBahn in?
DataBahn's product category is Security Data Pipeline Management. Its primary akta.pro industry code is HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI), with a secondary code of BPAEAHAB, Data Engineering, Integration & ETL/ELT Services. Its SIC code is 7370.