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DataRobot
DataRobot builds an agent workforce platform for enterprise AI deployment, operations, and governance. Based in Boston, it claims $60M–$200M client ROI.
DataRobot
DataRobot is a Boston-based enterprise software company that offers a unified platform for building, operating, and governing AI agents. The firm targets large organizations including energy and financial services companies, providing tools to develop custom agents using large language models and other components, then monitor and govern them in production. The company's platform spans three categories: foundational agents, business agents, and purpose-built agents. It supports deployment across edge, cloud, or on-prem environments and includes authentication, monitoring, and compliance features. DataRobot claims clients have achieved $60M to $200M ROI across 40 to 600+ use cases in capital markets, wealth management, supply chain, and well performance. The platform integrates with Snowflake, SQL, and S3 data sources. The firm is recognized by analysts: a multiyear leader in Gartner Magic Quadrant for DSML Platforms and cited in MarketScapes for AI Governance and ML Operations. DataRobot has been featured in the Forbes Cloud 100 and AI 50 lists across multiple years and named to Fortune's Future 50 list. The company collaborates with NVIDIA, with its platform included in the NVIDIA Enterprise AI Factory reference design. No recent operational event from the last 24 months was verifiable from these sources. DataRobot operates as a software vendor, not an asset manager. Its platform is designed for enterprises that have already invested in AI talent and hardware but lack the governance and orchestration to move from pilots to production. This focus on compliance and lifecycle management distinguishes it from pure model-building tools.
General information
Firm type
other
Year founded
—
AUM
Undisclosed
Location
Region
North America
Country
United States
City
Boston
Corporate office
Boston, MA, United States
Sector focus
Frequently asked questions
Who are the key investors behind DataRobot?
DataRobot has raised significant venture funding from firms including Intel Capital, NEA, Snowflake Ventures, and others. The company is not backed by a single family office; it is a venture-backed enterprise software company. Specific investors are disclosed in funding announcements.
Does DataRobot act as an investment vehicle or asset manager?
No. DataRobot is a software company that sells a platform for AI agent development and governance. It does not manage external capital or operate as a family office or investment fund.
How does DataRobot generate revenue?
DataRobot sells software subscriptions for its agent workforce platform. Pricing is not publicly disclosed, but the company targets large enterprises. Clients pay for access to build, deploy, and govern AI agents.
What sectors does DataRobot primarily serve?
Based on the client examples on its website, DataRobot serves the energy sector (with use cases like stuck pipe detection and well performance) and financial services (capital markets, wealth management). The platform is marketed broadly to any large enterprise.
Is DataRobot a public company?
No. DataRobot is privately held. It has been featured on the Forbes Cloud 100 list, indicating venture backing and private ownership.
What distinguishes DataRobot's platform from other AI tools?
DataRobot emphasizes governance and compliance for production AI agents, including monitoring, guardrailing, and orchestration. It integrates with NVIDIA's reference design for enterprise AI, and claims to help clients move from pilots to production safely.
Has DataRobot received any industry recognition?
Yes. DataRobot has been a multiyear leader in Gartner Magic Quadrant for DSML Platforms, recognized in MarketScapes for AI Governance and ML Operations, and included in Forbes Cloud 100 and AI 50 lists and Fortune's Future 50 list (per the firm's website).
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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