Dataiku
Dataiku is an enterprise AI orchestration platform enabling large organizations to build, deploy, and govern AI systems, ML models, and agents across multi-cloud environments. It serves 750+ enterprises across financial services, healthcare, manufacturing, retail, and energy.
- Company typePrivate
- Founded2013
- HeadquartersNew York, United States
- Headcount1,001–5,000
- GTM typeB2B
- OfferingSoftware
What Dataiku does
Dataiku is a privately held enterprise AI and machine-learning orchestration platform founded in 2013 and headquartered in New York, with founding operations in Paris and regional headquarters in London, Singapore (APJ), and Sydney. The company sells to large organizations across banking and financial services, life sciences and healthcare, manufacturing, retail/CPG, utilities and energy, and the public sector, serving 750+ enterprises including Roche, Johnson & Johnson, Novartis, Toyota, Michelin, SLB, Standard Chartered, and SoftBank. Its core product, Dataiku DSS (the "Platform for AI Success"), provides a unified environment spanning data preparation, machine learning, LLM orchestration, AI agent development, deployment, and governance across multi-cloud infrastructure (AWS, Snowflake, Databricks, Google Cloud, Azure).
The platform's technical architecture centers on proprietary capabilities including the LLM Mesh for multi-model LLM integration, Dataiku Cobuild for natural-language AI project generation, Dataiku Agent Management for cross-platform agent governance, Reasoning Systems for decision intelligence, and the 575 Lab open-source initiative (Kiji Privacy Proxy, Kiji Inspector) for responsible AI. The platform supports generative AI, predictive ML, NLP, computer vision, anomaly detection, RAG-based knowledge retrieval, and process automation, with native integrations across Snowflake, Databricks, Tableau, Power BI, Hugging Face, Slack, and major cloud data warehouses. It maintains enterprise-grade certifications including ISO 27001, ISO 27701, ISO 9001, SOC 1/2 Type II, HIPAA, GxP, GDPR, and CCPA compliance.
Dataiku monetizes primarily through subscription-based Named User enterprise licensing (per-seat, annual billing) supplemented by professional services, training, and a freemium academic/individual tier. Distribution combines direct enterprise field sales with a robust partner ecosystem spanning global systems integrators (Accenture), regional implementation partners (Matrix, Blue Turtle, Omnix International), strategic technology partners (Snowflake, NVIDIA, AWS), and major cloud marketplaces. The company confirmed $350M in annual recurring revenue as of 2025, holds a $4.6B valuation from its 2021 Series E, and has been named a Gartner Magic Quadrant Leader for AI Platforms for Data Science and ML for five consecutive years through 2026.
Dataiku firmographics
Firmographics- Name
- Dataiku
- Legal name
- Dataiku Inc.
- Website
- https://dataiku.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 1,001–5,000 employees
- Short description
- Dataiku is an enterprise AI orchestration platform enabling large organizations to build, deploy, and govern AI systems, ML models, and agents across multi-cloud environments. It serves 750+ enterprises across financial services, healthcare, manufacturing, retail, and energy.
- Ownership category
- akta.pro rank
Dataiku industry classification
Industry- Product category
- Enterprise AI Platform
- NAICS
- Software Publishers (513210), Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), 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/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Where Dataiku is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices5 records
Markets served
Dataiku business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Enterprise Software Licenses (Subscription): Subscription-based software licensing model for enterprise customers. Named User licensing structure where users are identified individually by name. Fees invoiced in advance with renewal terms at Dataiku's then-current rates.
- Technical Services: Training, enablement, consulting, and other technical services that Dataiku furnishes to customers related to the Cloud Service. Customer reimburses reasonable travel and lodging expenses.
- Professional Services / Implementation: Implementation and consulting services delivered through partner ecosystem including global systems integrators and regional implementation partners
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Per seat | Annual | Enterprise tier with subscription pricing per Named User |
| Freemium | Monthly | Free Trial / Free Edition |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels12 records
Dataiku product offering
Product offeringCore offering
Dataiku sells an enterprise AI and machine learning orchestration platform (The Platform for AI Success) that supports the full AI lifecycle from data preparation, model building, and LLM integration through to deployment, agent management, and governance. The platform is sold as subscription software on a Named User basis and is offered as self-managed on customer infrastructure or as Dataiku Cloud SaaS. It is targeted at large enterprises that need to move AI projects from experimentation into governed production across multi-cloud and multi-model environments.
Product overview
Dataiku is a unified enterprise AI platform (The Platform for AI Success) comprising a core Dataiku DSS platform with integrated modules for the full AI lifecycle. The product portfolio centers on three pillars: People (collaborative workflows across skill levels), Orchestration (connecting data, ML, LLMs, and agents), and Governance (compliance, cost control, risk management). Key modules include: Agent Management for multi-agent governance; Cobuild for natural-language AI project generation; Reasoning Systems for decision intelligence; LLM Mesh for multi-LLM access; Prompt Studios for prompt development; Semantic Models for business context; Expert-to-Agent (E2A) for domain expert encoding; and Dataiku Govern for enterprise governance. The 575 Lab open source initiative provides Kiji Privacy Proxy and Kiji Inspector for privacy and explainability. Cobuild on Snowflake and AI Factory Accelerator (NVIDIA) extend platform capabilities. The platform supports deployment as self-managed (on-premise/cloud stack) or Dataiku Cloud (SaaS).
Differentiator
Problem solved
Functional benefit
Brands
- 575 Lab: Dataiku's open source office initiative focused on responsible AI development, releasing toolkits for AI explainability, privacy, and system inspection.
- Kiji Privacy Proxy
- Kiji Inspector
- Dataiku Cobuild
- Dataiku Agent Management
- Dataiku Reasoning Systems
Products and services
- Dataiku DSS / The Platform for AI Success Core enterprise AI platform sold as self-managed software or Dataiku Cloud (SaaS) on a Named User subscription basis. Enables organizations to build, deploy, and govern AI systems across multi-cloud and multi-model environments.
- Dataiku Agent Management Enterprise agent monitoring and governance product providing cross-platform visibility into AI agents and measuring business impact against defined KPIs.
- Dataiku Cobuild AI project auto-generation tool that converts natural language business goals into complete AI project packages (data pipelines, workflows, applications) without coding, output as Visual Flow for stakeholder review.
- Dataiku Reasoning Systems Decision intelligence product that transforms business rules and decision logic into coordinated operational AI environments, with an initial manufacturing operations module and planned supply chain and financial risk offerings.
- Cobuild on Snowflake Joint Snowflake and Dataiku integration that combines Snowflake Cortex AI services with Dataiku orchestration to enable governed AI workflow creation using natural language inside Snowflake environments.
- AI Factory Accelerator Joint solution with NVIDIA that integrates RTX PRO 6000 Blackwell Server Edition GPUs, NIM microservices, and CUDA-X libraries with the Dataiku platform to accelerate enterprise AI from prototype to production, with initial focus on financial services.
- 575 Lab Open Source Initiative Dataiku's open source initiative for responsible AI, releasing toolkits for agent explainability, privacy preservation, and AI governance.
- Kiji Privacy Proxy Open-source local gateway that detects and masks personally identifiable information before prompts are sent to external AI services, using a quantized DistilBERT model running locally via ONNX Runtime to identify 16+ PII categories.
- Kiji Inspector Open-source explainability framework purpose-built for enterprise AI agents using a Sparse Autoencoder to trace and inspect multi-step agent decision-making and provide decision transparency.
- Dataiku Technical Services (Training, Enablement, and Consulting) Training, enablement, consulting, and other technical services furnished to customers related to the Dataiku Cloud Service, delivered directly and through global systems integrators.
Quantifiable outcome
- Toyota saved 1,600 hours per month and generated new revenue streams with RAG chatbots built in Dataiku
- +6 more outcomes
Companies that use Dataiku
Customer profileNamed customers17 records
Segments7 records
Ideal customer profiles3 records
Dataiku technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration17 records
AI capability17 records
Feature11 records
Dataiku partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core, minor, flagship and regional.
- RadwarecoreStrategic partnership announced June 2026 to integrate Radware's AI guardian agent services (application, API, and runtime security capabilities) into Dataiku's enterprise AI governance and orchestration platform. Enables enterprises to monitor, inspect, and control AI-driven actions across applications, APIs, and data in real time. Addresses security risks as AI systems move from generating output to executing actions in production environments.
- ContentfulminorContentful launched Palmata AI brand monitoring product with Dataiku as launch partner alongside The Atlantic, Box, Docusign, Marketbridge, and Telus Digital. Addresses growing concern about how AI answer engines describe businesses.
- SnowflakeflagshipMajor strategic partnership with Snowflake for AI platform integration. Launched Cobuild on Snowflake combining Snowflake Cortex AI services with Dataiku's orchestration platform for enterprise AI workflows using natural language. Snowflake is also an investor. Over 350 joint customers globally. Dataiku named Snowflake Product Partner of the Year for 5th consecutive year. Also recognized as 2026 APJ Snowflake Product Innovation Partner of the Year.
- Blue TurtleregionalSouth African integration partner participating in ITWeb AI Summit 2026. Joint go-to-market to address challenges blocking AI adoption in South Africa including fragmentation, shadow AI, and difficulty scaling generative AI safely. Focus on ethical AI policy frameworks, governance, and compliance with South African draft AI regulations.
- MatrixcoreTop 10 global technology integrator expanding Dataiku AI platform collaboration from EMEA to North America and Latin America. Joint advisory and implementation approach enables financial institutions to deploy AI-driven fraud, compliance, and enterprise risk solutions in weeks rather than months. Targets financial institutions facing regulatory scrutiny and board pressure to consolidate siloed analytics tools onto unified AI platform.
- Omnix InternationalcoreStrategic partnership to accelerate AI adoption across enterprise and government sectors in the GCC region. Combines Omnix's regional expertise and enterprise relationships with Dataiku's governed AI platform. Focus areas include security, governance, and delivering real-world business outcomes at scale. Targets government departments, financial services, energy, utilities, telecommunications, and large enterprises in UAE and broader GCC.
- AccentureflagshipNamed Global Systems Integrator in Dataiku 2026 Partner of the Year Awards. Major global systems integrator partner for Dataiku implementation services. One of multiple GSI partnerships supporting enterprise AI adoption globally.
- NVIDIAcoreAI Factory Accelerator partnership combining NVIDIA AI infrastructure (RTX PRO 6000 Blackwell Server Edition GPUs, NIM microservices, CUDA-X libraries) with Dataiku's enterprise AI platform. Initial deployment focuses on financial services for risk modeling, fraud detection, and customer personalization. Dataiku also supports NVIDIA Nemotron open-source framework for enterprise AI agent explainability. Kiji Inspector launched with NVIDIA Nemotron as first supported model family.
- AWScoreAchieved AWS Generative AI Competency and AWS Agentic AI Specialization recognizing expertise in deploying autonomous AI systems using Amazon Bedrock Agents. Partnership enables Dataiku to deliver scalable solutions leveraging AWS services across healthcare, life sciences, manufacturing, retail, and financial services. Named Global Cloud Partner in Dataiku 2026 Partner of the Year Awards.
Scale indicators9 records
Recent moves7 records
Expansion highlights6 records
Dataiku competitors and assessment
Company assessmentDirect peers
- Databricks: Databricks offers a unified Data Intelligence Platform with Mosaic AI for model training, feature store, and ML governance — directly overlapping Dataiku's data-to-AI lifecycle orchestration for enterprise customers on lakehouse architectures.
- Palantir Technologies: Palantir's Foundry and AIP platforms target enterprise AI deployment with embedded governance and ontology layers, competing for the same large-enterprise AI orchestration budget as Dataiku, particularly in regulated industries.
- Domino Data Lab: Domino provides an enterprise MLOps platform with model governance, reproducibility, and multi-cloud deployment — a closer peer in the regulated-pharma and financial-services MLOps segments where Dataiku also competes.
- Alteryx: Alteryx's Analytic Process Automation platform targets data analysts and citizen data scientists with low-code workflows, overlapping Dataiku's democratization thesis and visual-flow approach to enterprise analytics and AI.
- H2O.ai: H2O.ai provides an enterprise AI platform with AutoML, LLM studio, and MLOps capabilities, competing in similar financial-services and regulated-industry use cases where Dataiku's Reasoning Systems and LLM Mesh operate.
Broad incumbents
- AWS (SageMaker): AWS SageMaker offers end-to-end ML lifecycle tooling within the AWS ecosystem and benefits from default cloud procurement, posing a bundled-incumbent threat to Dataiku's multi-cloud positioning despite their marketplace partnership.
- Microsoft (Azure Machine Learning): Azure ML, combined with Microsoft Fabric and Copilot Studio, offers a tightly integrated AI platform within the Microsoft enterprise stack — competing with Dataiku for Azure-deployed enterprise customers via bundled procurement.
- Google Cloud (Vertex AI): Vertex AI provides a managed ML and generative-AI platform integrated with BigQuery and Gemini models, competing for Google Cloud-native enterprise AI workloads alongside Dataiku's GCP integrations.
- Cloudera: Cloudera's hybrid data and AI platform targets large enterprises with on-premises and multi-cloud deployments, competing in similar regulated-industry and hybrid-cloud segments where Dataiku's enterprise governance story resonates.
Emerging players
- Weights & Biases: Weights & Biases provides an AI developer platform with experiment tracking, model registry, and MLOps tooling — an emerging player in the model-lifecycle layer that competes for technical buyer mindshare with Dataiku's data-science workflows.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Dataiku social profiles
Digital presenceDataiku compliance and trust
Trust signalCompliance9 records
Dataiku financial estimates
Financial estimateRevenue estimate
Valuation estimate
Dataiku leadership team
Management profileNumber of profiles
Profiles13 records
Dataiku funding detail
Funding detailFunding overview
Funding rounds11 records
Investors17 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Dataiku 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 Dataiku
What does Dataiku do?
Dataiku sells an enterprise AI and machine learning orchestration platform (The Platform for AI Success) that supports the full AI lifecycle from data preparation, model building, and LLM integration through to deployment, agent management, and governance. The platform is sold as subscription software on a Named User basis and is offered as self-managed on customer infrastructure or as Dataiku Cloud SaaS. It is targeted at large enterprises that need to move AI projects from experimentation into governed production across multi-cloud and multi-model environments.
Is Dataiku a public or private company?
Dataiku is a private company. It is classified as venture growth investor backed and is currently operating.
When was Dataiku founded?
Dataiku was founded in 2013. It employs 1,001 to 5,000 people.
Where is Dataiku based?
Dataiku is headquartered in New York, United States, in the North America region.
How does Dataiku make money?
Three revenue lines are on record. Enterprise Software Licenses (Subscription) is the primary driver. The others are technical Services and professional Services / Implementation.
Who are Dataiku's main competitors?
Direct peers on record are Databricks, Palantir Technologies, Domino Data Lab, Alteryx and H2O.ai. Broad incumbents are AWS (SageMaker), Microsoft (Azure Machine Learning), Google Cloud (Vertex AI) and Cloudera. Weights & Biases is listed as an emerging player.
Does Dataiku have an API?
Yes. Dataiku provides a comprehensive REST API enabling developers to programmatically interact with the platform for automation, integration, and custom application development. Additionally, Python and R APIs are available for code-based interactions. Dataiku also supports Model Context Protocol (MCP) through its Agentic AI Foundation membership, enabling standardized AI agent integrations. Developer documentation is at doc.dataiku.com/dss/latest/index.html.
What industry is Dataiku in?
Dataiku'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 BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 513210 and its SIC code is 7372.