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DataRobot

Full company profile

uuid0000oxn

Namestring
DataRobot
Legal namestring
DataRobot, Inc.
Websiteurl
datarobot.com
Company typeenum
Private
Founded yearint
2012
Descriptiontext

DataRobot is an enterprise AI platform company founded in 2012 and headquartered in Boston, Massachusetts, with 501-1000 employees. It provides a unified AI platform that spans predictive AI, generative AI, and agentic AI, targeting large enterprises in financial services, manufacturing, government, energy, life sciences, and supply chain operations. Its core offering is the Agent Workforce Platform, co-engineered with NVIDIA and embedded in Dell AI Factory, Nebius AI Cloud, and SAP reference designs, enabling organizations to build, deploy, and govern production-grade AI agents across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments.

The platform is structured as a modular suite covering AI Governance, AI Observability, AI Foundation, AutoML for predictive modeling, Generative AI (LLM Gateway, RAG, vector databases, prompt management), and Agentic AI capabilities. Notable technical components include identity-first agent governance through Okta integration, the open-source Covalent multi-cloud orchestration platform acquired from Agnostiq, and the syftr framework for cost-accuracy optimization of AI agents. Deployment options include Managed SaaS, Single-Tenant SaaS, and Self-Managed on-premises Kubernetes installations, with certifications covering ISO 27001, SOC 2 Type II, HIPAA, GDPR, CCPA, and EU AI Act compliance. The company develops proprietary foundation models for tabular and time-series data and co-engineered integration with NVIDIA Nemotron 3 Super (120B parameter hybrid Mamba-Transformer MoE).

DataRobot operates a subscription-based enterprise sales model distributed primarily through direct field sales, solution architects, cloud marketplace listings (AWS, Azure, GCP), and strategic partner channels (NVIDIA, Dell, SAP, Snowflake). Pricing is quote-based for multi-year enterprise contracts. Named customers include Top 5 global bank, world's largest consumer tech brand, Norfolk Iron & Metal, CVS Health, Freddie Mac, Aflac, Warner Bros., BMW, U.S. Army, Chevron, and Aon, with claimed ROI outcomes ranging from $60M to $200M per deployment. The company has raised over $1.1 billion in cumulative funding, most recently a $300 million Series G in July 2021 led by Altimeter Capital and Tiger Global at a $6.3 billion valuation, and is positioning for an eventual IPO or strategic exit.

Short descriptiontext

DataRobot is an enterprise AI platform company offering a unified Agent Workforce Platform for building, deploying, and governing production-grade AI agents. Co-engineered with NVIDIA and integrated with Dell, SAP, and major cloud providers, it serves large regulated enterprises across financial services, manufacturing, government, and energy.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
501–1,000
akta.pro rankint
HeadquartersBoston, United States
HQ citystring
Boston
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
enterprise AI platform, machine learning operations, AI governance solutions, agentic AI deployment, predictive analytics software
Industry5 codes
1End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryYes
2AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs)
CodeHDAEANAJPrimaryNo
3AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI)
CodeHDAEANAIPrimaryNo
4Model Deployment, Serving & Inference Platforms
CodeHDAAABAFPrimaryNo
5Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)
CodeHDAEANAHPrimaryNo
NAICS code2 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Prepackaged Software7372
  • Services-Computer Integrated Systems Design7373
Product category
Enterprise AI Platform
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Enterprise AI Platform Subscription
TypeSubscription Recurring
Description

Annual or multi-year subscription for platform access including AI governance, observability, agent deployment, and enterprise features. Pricing varies by deployment type (cloud, hybrid, on-premises) and usage volume.

datarobot.com
Marketing channels9 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Pricing details1 tier
1Enterprise platform subscription with full feature access
ModelSubscriptionBilling cadenceAnnual
Notes

Quote-based pricing for enterprise deployments. Supports cloud, hybrid, and on-premises deployment options.

datarobot.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 2 records shown
1Covalent
Description

Open-source platform for multi-cloud orchestration acquired from Agnostiq

datarobot.com
+1 more record
Core offering1 text field

DataRobot provides a unified enterprise AI platform — the Agent Workforce Platform — for building, deploying, and governing production-grade AI agents across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments. The platform combines agentic AI, generative AI, and predictive AI capabilities with full lifecycle governance, observability, and deployment flexibility. It is co-engineered with NVIDIA and integrated with Dell AI Factory, Nebius, and SAP for regulated enterprise AI deployments.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • Up to 83% faster AI development compared to traditional approaches
+6 more records
Product overview1 text field

DataRobot is an enterprise AI platform company offering a unified portfolio of AI products organized around the core AI Platform. The portfolio comprises the Agent Workforce Platform (for building and governing autonomous AI agents), AI Apps & Agents (pre-built applications like Talk to My Docs and Talk to My Data), and modular capabilities including Generative AI, Predictive AI, AI Governance, AI Observability, and AI Foundation. Open-source offerings include Covalent (multi-cloud orchestration acquired from Agnostiq) and syftr (cost-accuracy optimization). The platform supports multiple interfaces including Workbench (visual UI), DataRobot Notebooks (code-first), REST API, Python SDK, and MCP integration. Deployment options include Managed SaaS, Single-Tenant SaaS, and Self-Managed (on-premises Kubernetes). The platform is co-engineered with NVIDIA and integrated with Dell AI Factory and Nebius for enterprise AI infrastructure.

Product and service6 records
1Agent Workforce Platform
CategoryCore AI Platform
Description

End-to-end agent workforce platform for building, operating, and governing production-grade AI agents across cloud, hybrid, on-premises, and air-gapped environments. Co-engineered with NVIDIA and integrated with Dell AI Factory. For enterprises requiring production-grade agentic AI deployment.

2AI Apps & Agents
CategoryPre-built AI Applications
Description

Pre-built AI applications and agents including Talk to My Docs for document querying, Talk to My Data for data analysis, Forecast Assistant, Guarded RAG Assistant, Predictive Content Generator, and Agentic Starter for rapid enterprise deployment.

3Covalent
CategoryOpen-Source Orchestration Platform
Description

Open-source multi-cloud orchestration platform for deploying and managing agentic AI workloads across cloud, on-premises, and edge environments. Enables workflow orchestration across heterogeneous compute infrastructure.

4syftr
CategoryOpen-Source AI Framework
Description

Open-source framework for cost-accuracy optimization of AI agents, enabling developers to find optimal balance between accuracy, latency, and cost for production AI systems. Integrated with Cerebras for high-speed inference.

5DataRobot AI Platform
CategoryEnterprise AI Platform
Description

Unified enterprise AI platform covering the full data-to-AI lifecycle including agentic AI, generative AI, predictive AI, AI governance, and AI observability. Available via Managed SaaS, Single-Tenant SaaS, and Self-Managed deployment options.

6Single-Tenant SaaS Deployment
Scale indicator14 records

Each record includes

Type, Value, Description, Source

Partnership13 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-06-25
Description

DataRobot and NVIDIA co-engineered the Agent Workforce Platform integrated with NVIDIA AI Enterprise, NIM microservices, and Nemotron 3 Super model. The partnership provides GPU-optimized performance for enterprise agentic AI deployment across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments. DataRobot is validated and embedded in the NVIDIA Enterprise AI Factory reference design.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-03
Description

DataRobot and Chevron are collaborating to deploy agentic AI at the edge for autonomous inspections, replacing manual safety checks with real-time AI assessments. The initiative aims to improve safety and operational efficiency in hazardous industrial environments with a focus on reliability and governance.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-05-13
Description

DataRobot and Dell combined the DataRobot Agent Workforce Platform with Dell AI Factory powered by NVIDIA infrastructure for enterprise agentic AI deployment. The pre-validated, full-stack solution reduces deployment timelines from months to days. Joint solution targets financial services, healthcare, manufacturing, and public sector for governed agent workforce deployment.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-25
Description

Cerebras announced integrations with Hugging Face, DataRobot, and Docker to accelerate agentic AI application development. The partnership integrates Cerebras' high-speed AI inference into DataRobot's syftr open-source framework for near-instant agent responses.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-25
Description

Cerebras partnership integrates high-speed AI inference into Hugging Face's SmolAgents library along with DataRobot and Docker, enabling developers to run intelligent agents with near-instant responses.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-25
Description

Cerebras partnership integrates high-speed AI inference into Docker's container ecosystem along with DataRobot and Hugging Face, simplifying deployment of multi-agent AI stacks.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-22
Description

DataRobot and Nebius announced a validated AI Factory stack for production-grade AI agent workloads on Nebius AI Cloud. The solution combines DataRobot's Agent Workforce Platform with Nebius GPU-optimized cloud infrastructure and NVIDIA AI software, demonstrating up to 245,000 tokens per second throughput on NVIDIA HGX B200 systems.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-16
Description

DataRobot and Okta integration provides identity-first governance for AI agents. Agents are provisioned as first-class identities within corporate identity management systems with short-lived credentials, scoped permissions, and centralized revocation capabilities.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-03-01
Description

DataRobot acquired Agnostiq to integrate its open-source Covalent platform for multi-cloud orchestration, enabling agent deployment across edge, cloud, and on-premises environments.

10Aon
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Aon and DataRobot collaboration deploys agentic AI across insurance onboarding and servicing workflows. The initiative focuses on document consolidation, certificate generation, invoice processing, and automated ID card issuance to accelerate turnaround times while maintaining human validation and oversight.

Strategic tierCoreTypeImplementation/ SI/ Consulting PartnerAnnounced on2025-12-01
Description

Hexaware announced a strategic partnership with DataRobot to integrate the latter's AutoML platform for AI-powered customer analytics solutions. The collaboration provides tools for customer acquisition, retention, churn prediction, cross-sell and up-sell optimization, and campaign effectiveness analysis.

12SAP
Strategic tierCoreTypeOEM/ Whitelabel/ Licensing PartnerAnnounced on2025-01-01
Description

DataRobot is the exclusive agentic AI partner fully certified to run inside the SAP ecosystem. The partnership provides co-developed SAP Business Agents integrated with SAP Build for seamless AI deployment within SAP tools and workflows.

Strategic tierCoreTypeTechnology or Integration
Description

Partnership for AI-powered customer analytics solutions and enterprise data integration across Snowflake, SQL, and S3 platforms.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

H2O.ai is a direct competitor offering an enterprise AI/ML platform with AutoML, agentic AI, and governance capabilities. Like DataRobot, it targets large enterprises deploying predictive and generative AI, making it the closest head-to-head rival for AI platform spend.

TypeDirect peer
Description

Databricks provides a unified data and AI platform (lakehouse + Mosaic AI) covering model training, deployment, and governance. It competes directly with DataRobot for enterprise AI platform budget, particularly with Mosaic AI, MLflow, and vector database capabilities.

TypeDirect peer
Description

Domino is an enterprise MLOps platform offering model development, deployment, and governance. Its positioning in the Nucleus Research Technology Value Matrix alongside DataRobot puts them in direct competition for enterprise ML platform seats.

TypeDirect peer
Description

Palantir's Foundry and AIP platforms provide enterprise AI/decision intelligence for regulated industries (government, healthcare, finance), competing directly with DataRobot for large enterprise and government AI contracts with governance and deployment flexibility.

TypeDirect peer
Description

C3.ai delivers enterprise AI applications and an AI platform for predictive and generative AI across verticals like oil & gas, manufacturing, and financial services - directly comparable to DataRobot's vertical-industry AI focus.

TypeBroad incumbent
Description

SageMaker is AWS's broad ML platform offering model building, deployment, and MLOps capabilities. It is an incumbent alternative for DataRobot, especially for AWS-native enterprise customers leveraging cloud procurement advantages.

7Azure Machine Learning
TypeBroad incumbent
Description

Azure ML is Microsoft's enterprise ML platform covering the full AI lifecycle. It competes broadly with DataRobot on Azure-native enterprise deployments, often bundled with other Microsoft enterprise agreements.

TypeBroad incumbent
Description

Vertex AI is Google Cloud's unified AI platform for training, deploying, and governing ML and generative AI models. It overlaps with DataRobot's enterprise AI platform capabilities for GCP-native enterprise customers.

TypeBroad incumbent
Description

IBM watsonx is an enterprise AI and data platform targeting regulated industries with strong governance, compliance, and on-premises deployment. It overlaps with DataRobot's regulated-vertical AI governance positioning.

TypeEmerging player
Description

Alteryx offers analytics and AI automation for business users. While narrower than DataRobot's full platform, it competes for budget on predictive modeling, AutoML, and AI-driven decision automation in mid-market and enterprise accounts.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers12 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration27 records

Each record includes

Title, Type, Description, Source

AI capability14 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature15 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles16 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries3 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance6 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds11 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors50 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A10 records

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

DataRobot

Enterprise AI Platformdatarobot.com

DataRobot is an enterprise AI platform company offering a unified Agent Workforce Platform for building, deploying, and governing production-grade AI agents. Co-engineered with NVIDIA and integrated with Dell, SAP, and major cloud providers, it serves large regulated enterprises across financial services, manufacturing, government, and energy.

What DataRobot does

DataRobot is an enterprise AI platform company founded in 2012 and headquartered in Boston, Massachusetts, with 501-1000 employees. It provides a unified AI platform that spans predictive AI, generative AI, and agentic AI, targeting large enterprises in financial services, manufacturing, government, energy, life sciences, and supply chain operations. Its core offering is the Agent Workforce Platform, co-engineered with NVIDIA and embedded in Dell AI Factory, Nebius AI Cloud, and SAP reference designs, enabling organizations to build, deploy, and govern production-grade AI agents across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments.

The platform is structured as a modular suite covering AI Governance, AI Observability, AI Foundation, AutoML for predictive modeling, Generative AI (LLM Gateway, RAG, vector databases, prompt management), and Agentic AI capabilities. Notable technical components include identity-first agent governance through Okta integration, the open-source Covalent multi-cloud orchestration platform acquired from Agnostiq, and the syftr framework for cost-accuracy optimization of AI agents. Deployment options include Managed SaaS, Single-Tenant SaaS, and Self-Managed on-premises Kubernetes installations, with certifications covering ISO 27001, SOC 2 Type II, HIPAA, GDPR, CCPA, and EU AI Act compliance. The company develops proprietary foundation models for tabular and time-series data and co-engineered integration with NVIDIA Nemotron 3 Super (120B parameter hybrid Mamba-Transformer MoE).

DataRobot operates a subscription-based enterprise sales model distributed primarily through direct field sales, solution architects, cloud marketplace listings (AWS, Azure, GCP), and strategic partner channels (NVIDIA, Dell, SAP, Snowflake). Pricing is quote-based for multi-year enterprise contracts. Named customers include Top 5 global bank, world's largest consumer tech brand, Norfolk Iron & Metal, CVS Health, Freddie Mac, Aflac, Warner Bros., BMW, U.S. Army, Chevron, and Aon, with claimed ROI outcomes ranging from $60M to $200M per deployment. The company has raised over $1.1 billion in cumulative funding, most recently a $300 million Series G in July 2021 led by Altimeter Capital and Tiger Global at a $6.3 billion valuation, and is positioning for an eventual IPO or strategic exit.

DataRobot firmographics

Firmographics
Name
DataRobot
Legal name
DataRobot, Inc.
Website
https://datarobot.com
Company type
Private
Founded year
2012
Operating status
Operating
Headcount range
501–1,000 employees
Short description
DataRobot is an enterprise AI platform company offering a unified Agent Workforce Platform for building, deploying, and governing production-grade AI agents. Co-engineered with NVIDIA and integrated with Dell, SAP, and major cloud providers, it serves large regulated enterprises across financial services, manufacturing, government, and energy.
Ownership category
akta.pro rank

DataRobot industry classification

Industry
Product category
Enterprise AI Platform
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (54151)
SIC
Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
akta.pro secondary industries
AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Model Deployment, Serving & Inference Platforms (HDAAABAF), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

Keywords

  • Enterprise AI platform
  • Machine learning operations
  • AI governance solutions
  • Agentic AI deployment
  • Predictive analytics software

Where DataRobot is headquartered

Location

Headquarters

HQ city
Boston
HQ country
United States
HQ region
North America

Offices1 record

Markets served

DataRobot business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. Enterprise AI Platform Subscription: Annual or multi-year subscription for platform access including AI governance, observability, agent deployment, and enterprise features. Pricing varies by deployment type (cloud, hybrid, on-premises) and usage volume.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualEnterprise platform subscription with full feature access

Go-to-market motion1 record

Distribution channels5 records

Marketing channels9 records

DataRobot product offering

Product offering

Core offering

DataRobot provides a unified enterprise AI platform — the Agent Workforce Platform — for building, deploying, and governing production-grade AI agents across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments. The platform combines agentic AI, generative AI, and predictive AI capabilities with full lifecycle governance, observability, and deployment flexibility. It is co-engineered with NVIDIA and integrated with Dell AI Factory, Nebius, and SAP for regulated enterprise AI deployments.

Product overview

DataRobot is an enterprise AI platform company offering a unified portfolio of AI products organized around the core AI Platform. The portfolio comprises the Agent Workforce Platform (for building and governing autonomous AI agents), AI Apps & Agents (pre-built applications like Talk to My Docs and Talk to My Data), and modular capabilities including Generative AI, Predictive AI, AI Governance, AI Observability, and AI Foundation. Open-source offerings include Covalent (multi-cloud orchestration acquired from Agnostiq) and syftr (cost-accuracy optimization). The platform supports multiple interfaces including Workbench (visual UI), DataRobot Notebooks (code-first), REST API, Python SDK, and MCP integration. Deployment options include Managed SaaS, Single-Tenant SaaS, and Self-Managed (on-premises Kubernetes). The platform is co-engineered with NVIDIA and integrated with Dell AI Factory and Nebius for enterprise AI infrastructure.

Differentiator

Problem solved

Functional benefit

Brands

  • Covalent: Open-source platform for multi-cloud orchestration acquired from Agnostiq
  • syftr

Products and services

  • Agent Workforce Platform End-to-end agent workforce platform for building, operating, and governing production-grade AI agents across cloud, hybrid, on-premises, and air-gapped environments. Co-engineered with NVIDIA and integrated with Dell AI Factory. For enterprises requiring production-grade agentic AI deployment.
  • AI Apps & Agents Pre-built AI applications and agents including Talk to My Docs for document querying, Talk to My Data for data analysis, Forecast Assistant, Guarded RAG Assistant, Predictive Content Generator, and Agentic Starter for rapid enterprise deployment.
  • Covalent Open-source multi-cloud orchestration platform for deploying and managing agentic AI workloads across cloud, on-premises, and edge environments. Enables workflow orchestration across heterogeneous compute infrastructure.
  • syftr Open-source framework for cost-accuracy optimization of AI agents, enabling developers to find optimal balance between accuracy, latency, and cost for production AI systems. Integrated with Cerebras for high-speed inference.
  • DataRobot AI Platform Unified enterprise AI platform covering the full data-to-AI lifecycle including agentic AI, generative AI, predictive AI, AI governance, and AI observability. Available via Managed SaaS, Single-Tenant SaaS, and Self-Managed deployment options.
  • Single-Tenant SaaS Deployment

Quantifiable outcome

  • Up to 83% faster AI development compared to traditional approaches
  • +6 more outcomes

Companies that use DataRobot

Customer profile

Named customers12 records

Segments7 records

Ideal customer profiles5 records

DataRobot technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration27 records

AI capability14 records

Feature15 records

DataRobot partnerships and signals

Strategic signal

Partnerships

13 partnerships are on record, tiered flagship and core.

  • NVIDIAflagshipStrategic or Co-development Partner · 25 June 2026DataRobot and NVIDIA co-engineered the Agent Workforce Platform integrated with NVIDIA AI Enterprise, NIM microservices, and Nemotron 3 Super model. The partnership provides GPU-optimized performance for enterprise agentic AI deployment across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments. DataRobot is validated and embedded in the NVIDIA Enterprise AI Factory reference design.
  • ChevroncoreStrategic or Co-development Partner · 3 June 2026DataRobot and Chevron are collaborating to deploy agentic AI at the edge for autonomous inspections, replacing manual safety checks with real-time AI assessments. The initiative aims to improve safety and operational efficiency in hazardous industrial environments with a focus on reliability and governance.
  • Dell TechnologiesflagshipStrategic or Co-development Partner · 13 May 2026DataRobot and Dell combined the DataRobot Agent Workforce Platform with Dell AI Factory powered by NVIDIA infrastructure for enterprise agentic AI deployment. The pre-validated, full-stack solution reduces deployment timelines from months to days. Joint solution targets financial services, healthcare, manufacturing, and public sector for governed agent workforce deployment.
  • CerebrascoreTechnology or Integration · 25 March 2026Cerebras announced integrations with Hugging Face, DataRobot, and Docker to accelerate agentic AI application development. The partnership integrates Cerebras' high-speed AI inference into DataRobot's syftr open-source framework for near-instant agent responses.
  • Hugging FacecoreTechnology or Integration · 25 March 2026Cerebras partnership integrates high-speed AI inference into Hugging Face's SmolAgents library along with DataRobot and Docker, enabling developers to run intelligent agents with near-instant responses.
  • DockercoreTechnology or Integration · 25 March 2026Cerebras partnership integrates high-speed AI inference into Docker's container ecosystem along with DataRobot and Hugging Face, simplifying deployment of multi-agent AI stacks.
  • NebiuscoreTechnology or Integration · 22 March 2026DataRobot and Nebius announced a validated AI Factory stack for production-grade AI agent workloads on Nebius AI Cloud. The solution combines DataRobot's Agent Workforce Platform with Nebius GPU-optimized cloud infrastructure and NVIDIA AI software, demonstrating up to 245,000 tokens per second throughput on NVIDIA HGX B200 systems.
  • OktacoreTechnology or Integration · 16 March 2026DataRobot and Okta integration provides identity-first governance for AI agents. Agents are provisioned as first-class identities within corporate identity management systems with short-lived credentials, scoped permissions, and centralized revocation capabilities.
  • AgnostiqcoreTechnology or Integration · 1 March 2026DataRobot acquired Agnostiq to integrate its open-source Covalent platform for multi-cloud orchestration, enabling agent deployment across edge, cloud, and on-premises environments.
  • AoncoreStrategic or Co-development Partner · 1 February 2026Aon and DataRobot collaboration deploys agentic AI across insurance onboarding and servicing workflows. The initiative focuses on document consolidation, certificate generation, invoice processing, and automated ID card issuance to accelerate turnaround times while maintaining human validation and oversight.
  • HexawarecoreImplementation/ SI/ Consulting Partner · 1 December 2025Hexaware announced a strategic partnership with DataRobot to integrate the latter's AutoML platform for AI-powered customer analytics solutions. The collaboration provides tools for customer acquisition, retention, churn prediction, cross-sell and up-sell optimization, and campaign effectiveness analysis.
  • SAPcoreOEM/ Whitelabel/ Licensing Partner · 1 January 2025DataRobot is the exclusive agentic AI partner fully certified to run inside the SAP ecosystem. The partnership provides co-developed SAP Business Agents integrated with SAP Build for seamless AI deployment within SAP tools and workflows.
  • SnowflakecoreTechnology or IntegrationPartnership for AI-powered customer analytics solutions and enterprise data integration across Snowflake, SQL, and S3 platforms.

Scale indicators14 records

Recent moves6 records

Expansion highlights6 records

DataRobot competitors and assessment

Company assessment

Direct peers

  • H2O.ai: H2O.ai is a direct competitor offering an enterprise AI/ML platform with AutoML, agentic AI, and governance capabilities. Like DataRobot, it targets large enterprises deploying predictive and generative AI, making it the closest head-to-head rival for AI platform spend.
  • Databricks: Databricks provides a unified data and AI platform (lakehouse + Mosaic AI) covering model training, deployment, and governance. It competes directly with DataRobot for enterprise AI platform budget, particularly with Mosaic AI, MLflow, and vector database capabilities.
  • Domino Data Lab: Domino is an enterprise MLOps platform offering model development, deployment, and governance. Its positioning in the Nucleus Research Technology Value Matrix alongside DataRobot puts them in direct competition for enterprise ML platform seats.
  • Palantir: Palantir's Foundry and AIP platforms provide enterprise AI/decision intelligence for regulated industries (government, healthcare, finance), competing directly with DataRobot for large enterprise and government AI contracts with governance and deployment flexibility.
  • C3.ai: C3.ai delivers enterprise AI applications and an AI platform for predictive and generative AI across verticals like oil & gas, manufacturing, and financial services - directly comparable to DataRobot's vertical-industry AI focus.

Broad incumbents

  • AWS SageMaker: SageMaker is AWS's broad ML platform offering model building, deployment, and MLOps capabilities. It is an incumbent alternative for DataRobot, especially for AWS-native enterprise customers leveraging cloud procurement advantages.
  • Azure Machine Learning: Azure ML is Microsoft's enterprise ML platform covering the full AI lifecycle. It competes broadly with DataRobot on Azure-native enterprise deployments, often bundled with other Microsoft enterprise agreements.
  • Google Vertex AI: Vertex AI is Google Cloud's unified AI platform for training, deploying, and governing ML and generative AI models. It overlaps with DataRobot's enterprise AI platform capabilities for GCP-native enterprise customers.
  • IBM watsonx: IBM watsonx is an enterprise AI and data platform targeting regulated industries with strong governance, compliance, and on-premises deployment. It overlaps with DataRobot's regulated-vertical AI governance positioning.

Emerging players

  • Alteryx: Alteryx offers analytics and AI automation for business users. While narrower than DataRobot's full platform, it competes for budget on predictive modeling, AutoML, and AI-driven decision automation in mid-market and enterprise accounts.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

DataRobot social profiles

Digital presence

DataRobot compliance and trust

Trust signal

Compliance6 records

DataRobot financial estimates

Financial estimate

Revenue estimate

Valuation estimate

DataRobot leadership team

Management profile

Number of profiles

Profiles16 records

DataRobot subsidiaries and ownership

Company hierarchy

Subsidiaries3 records

DataRobot funding detail

Funding detail

Funding overview

Funding rounds11 records

Investors50 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

DataRobot M&A and investment

M&A and investment

M&A10 records

Investments

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Frequently asked questions about DataRobot

What does DataRobot do?

DataRobot provides a unified enterprise AI platform — the Agent Workforce Platform — for building, deploying, and governing production-grade AI agents across cloud, hybrid, multi-cloud, on-premises, and air-gapped environments. The platform combines agentic AI, generative AI, and predictive AI capabilities with full lifecycle governance, observability, and deployment flexibility. It is co-engineered with NVIDIA and integrated with Dell AI Factory, Nebius, and SAP for regulated enterprise AI deployments.

Is DataRobot a public or private company?

DataRobot is a private company. It is classified as venture growth investor backed and is currently operating.

When was DataRobot founded?

DataRobot was founded in 2012. It employs 501 to 1,000 people.

Where is DataRobot based?

DataRobot is headquartered in Boston, United States, in the North America region.

How does DataRobot make money?

One revenue line is on record: enterprise AI Platform Subscription.

Who are DataRobot's main competitors?

Direct peers on record are H2O.ai, Databricks, Domino Data Lab, Palantir and C3.ai. Broad incumbents are AWS SageMaker, Azure Machine Learning, Google Vertex AI and IBM watsonx. Alteryx is listed as an emerging player.

Does DataRobot have an API?

Yes. DataRobot AI Platform provides a REST API for communication secured using TLS 1.3. For the main DataRobot API, authentication is achieved through a bearer token in the HTTP authorization header. For Prediction Server API, authentication is done via HTTP basic authentication with a username and an assigned API token. The platform offers a Python API client and REST API reference documentation. MCP (Model Context Protocol) support is available for integrating tools and connecting agentic coding environments to MCP servers. Developer documentation is at docs.datarobot.com/en/docs/api/index.html.

What industry is DataRobot in?

DataRobot's product category is Enterprise AI Platform. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 5132 and its SIC code is 7372.

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Investing.comVertex appoints DataRobot CEO Debanjan Saha to boardVertex appointed Debanjan Saha to its board of directors, effective October 7, expanding the board to 10 members. Saha, CEO of DataRobot since September 2022, previously led database services at Amazon Web Services and Google Cloud. The appointment aims to bring cloud and AI expertise to the company.Stock TitanVertex names DataRobot CEO Saha to board effective Oct. 7Vertex appointed Debanjan Saha, CEO of DataRobot, to its board effective October 7, 2026. The appointment expands the board to 10 members, eight independent, bringing enterprise AI and data leadership. Saha will help Vertex advance its AI-first transformation.FuturumInside DataRobot's Enterprise Agentic StrategyDataRobot expanded its Agent Workforce Platform with public deployments at Chevron and Aon, targeting multi-cloud, sovereign, and air-gapped environments. The company co-engineers with NVIDIA and partners with Dell and Nebius, but ETR data shows limited broad adoption. Its Microsoft Entra ID integration is in proof of concept, with a control-plane/data-plane split planned.BenzingaDataRobot's Private Stock Soars 953% in Year: Still 83% Below AI Boom ValuationDataRobot's private shares rose 952.5% over the past year, reaching $4.21 on Sept. 22. Its implied valuation of $1.1 billion is 83% below its 2021 peak of $6.3 billion. The company is shifting toward agentic AI, with a $123.64 million Series EI round.DataRobot AI PlatformStop Rate-Limiting Requests. Start Scheduling Tokens: Introducing DataRobot TokenGridDataRobot has introduced TokenGrid, a token-aware capacity scheduler designed to optimize enterprise AI infrastructure by managing token-level resource allocation across self-hosted and third-party models. The tool addresses inefficiencies in traditional gateways by implementing dynamic rate limiting, fair-sharing engines, and automated capacity reconciliation to prevent workload saturation and reduce GPU idle time. It is currently available in private preview for select co-engineering and enterprise accounts.Solutions Review Technology News and Vendor ReviewsAnalytics and Data Science News for the Week of July 24; Updates from DataRobot, Progress Software, Simplilearn & MoreSolutions Review curated a weekly roundup of analytics and data science news for the week of July 24, 2026. Key developments include DataCamp partnering with Google Cloud for training, DataRobot releasing new AI deployment controls, Domo agreeing to sell its assets, and Simplilearn collaborating with Duke University on an AI program.MarTech SeriesDataRobot Gives Enterprises Full Control Over Where and How Their AI RunsDataRobot announced its Agent Workforce Platform as a solution enabling enterprises to run AI workloads fully outside the public cloud—on-premise, air-gapped, or in virtual private clouds—while maintaining governance and control. The platform, co-engineered with NVIDIA and validated across Dell and Nebius infrastructure, allows organizations to bring their own models, including open-source ones, without dependency on third-party providers. The announcement responds to growing enterprise demand for sovereign AI capabilities driven by tightening data residency regulations, rising regulatory scrutiny in financial services, defense, and healthcare, and recent disruptions caused by unilateral cloud provider decisions.Third NewsIerabu Partners Launches AI-Driven Rental Screening Model with DataRobotIerabu Partners, a Tokyo-based subsidiary of Ierabu Group, has launched an AI-driven rental screening model using DataRobot's agent workforce platform, operational as of July 22, 2026. The predictive model leverages hundreds of thousands of application and contract data to improve approval rates and reduce screening times by automating risk assessment while maintaining human oversight for final decisions. The initiative addresses challenges in Japan's rental guarantee sector stemming from changing social structures and the 2020 Civil Code revision that capped personal guarantor liabilities.IntuzTop 15 AI Software Development Companies in USA [2026]This article presents a curated list of 15 top AI software development companies in the USA for 2026, including Intuz, DataRobot, Palantir Technologies, Simform, LeewayHertz, and others, with detailed profiles covering their specializations, tech stacks, pricing, and project examples. The article also provides evaluation criteria for selecting AI development partners and includes market context citing McKinsey data showing 78% of organizations now use AI in at least one business function and IBM research indicating $3.50 return per $1 invested in AI. Intuz, the publishing company, is positioned prominently throughout as a recommended vendor.DataRobot AI PlatformDataRobot OpenCode: your coding agent, your model choiceDataRobot has launched OpenCode, a coding agent designed to allow users to switch between various closed, open, and bring-your-own AI models without changing the underlying tool. The agent operates through the DataRobot LLM Gateway, enabling enterprises to manage governance and costs while avoiding vendor lock-in associated with single-provider tools like Claude Code or Copilot.