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Dataiku

Enterprise AI platform for data science

Overview

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

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About Dataiku

Simplify's Rating
Why Dataiku is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine Learning

Company Size

1,001-5,000

Company Stage

Series F

Total Funding

$846.4M

Headquarters

New York City, New York

Founded

2013

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What believers are saying

  • September 24, 2026 launch gives Dataiku a fresh land-and-expand product wedge.
  • Maxwell Long joined June 1, 2026, strengthening enterprise sales execution at scale.
  • Snowflake partnership deepened in May 2026, exposing Dataiku to 350-plus customers.

What critics are saying

  • AWS, Databricks, Microsoft, and Snowflake can bundle native governance and crush pricing.
  • Agent Management metering per agent invites customer backlash if estates scale quickly.
  • If platforms own agent governance, Dataiku becomes a feature, not a system of record.

What makes Dataiku unique

  • Dataiku spans analytics, ML, and AI agents across Snowflake, Databricks, and Azure.
  • Cobuild on Snowflake converts plain English into inspectable workflows, not opaque code.
  • Agent Management inventories third-party agents across AWS Bedrock, Salesforce, Vertex, and Copilot.

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Funding

Total Funding

$846.4M

Above

Industry Average

Funded Over

8 Rounds

Series F funding comparison data is currently unavailable. We're working to provide this information soon!
Series F Funding Comparison Coming Soon

Benefits

  • Health, life & pension benefits
  • Equity
  • Time off for R&R
  • Public holidays
  • Work from anywhere policy (unique to team)
  • 12 weeks of paid parental leave
  • Volunteering opportunities
  • Career Development opportunities
  • Technology stipend
  • Onsite meals & healthy snacks
  • Office happy hours
  • Company-wide events

Growth & Insights and Company News

6 month growth

2%

1 year growth

2%

2 year growth

2%
Tech Coffee House
Oct 29th, 2026
Dataiku Headless links coding agents to governed AI.

Dataiku Headless links coding agents to governed AI. Published by Dataiku has launched Dataiku Headless, a new capability that lets developers build, migrate and manage governed AI and data projects directly from coding tools such as Claude Code, Codex and Cursor. The company unveiled it at Succeed, its annual flagship conference in New York, with a Singapore dateline marking the regional announcement. Key Takeaways * Dataiku Headless brings the company's natural-language agentic interface, Cobuild, into coding tools developers already use, including Claude Code, Codex and Cursor. * It lets developers build governed Dataiku projects from a coding agent, migrate legacy workflows such as Excel or Alteryx files, and diagnose failing jobs across environments. * Dataiku Headless is available now as a plugin on the Claude Code and Codex marketplaces, and is compatible with Snowflake CoCo, GitHub Copilot and AWS Kiro. Why Dataiku built it. Coding agents like Claude Code and Codex have sped up how technical teams build software, but Dataiku argues that speed has created a new bottleneck: once something is built, few people beyond the developer who built it can actually see it, review it or run it safely in production. Headless is designed to close that gap without pulling developers out of the coding agent they already use day to day. Under the hood, Headless acts as a control surface: a coding agent uses it to inspect and operate Dataiku, calling on Cobuild, Dataiku's existing natural-language agentic interface, whenever a task requires creating or changing a project. What developers can do with it. Dataiku lists three main uses for Headless. Developers can build directly from a coding agent, which delegates the work to Cobuild to create a visual flow, datasets, transformations, models or custom agents that the wider team can inspect. They can migrate legacy workflows, pointing a coding agent at something built outside Dataiku, such as an Excel workbook or Alteryx pipeline, and having it rebuilt as a governed, visual Dataiku project, a process Dataiku says can run hundreds or thousands of times for large modernisation projects. And administrators can use it to investigate and support Dataiku environments, asking a coding agent to find jobs that have failed across multiple projects and remediate them by changing project or admin settings. "Developers aren't going to stop working in Claude Code or Codex, and we don't think they should have to. What they need is a way to turn that speed into something the rest of the business can actually see, review, and run in production. That's what Dataiku Headless does - it meets technical teams in the tools they already trust, and hands back a Dataiku project instead of a script only they can read." Jed Dougherty, SVP of AI & Platform, Dataiku Availability. Dataiku Headless is available now as a plugin on the Claude Code and Codex marketplaces, and is compatible with Cursor, Snowflake CoCo, GitHub Copilot, AWS Kiro and other agentic coding tools.

TechDay
Oct 2nd, 2026
Dataiku launches cross-platform AI agent management tool.

Dataiku launches cross-platform AI agent management tool. Fri, 2nd Oct 2026 (Today) Dataiku has launched Agent Management, a standalone product for tracking and managing AI agents across enterprise systems. It is aimed at companies running agents on multiple platforms. The software is designed to give organisations a single inventory of AI agents, including those built outside Dataiku's platform. It also measures business and technical performance and identifies higher-risk deployments. The launch comes as companies move from testing individual AI agents to operating larger estates of tools across cloud, data and application providers. That shift has created a governance gap: many businesses can closely account for conventional software assets, but not for the AI agents used in their operations. IBM research cited by Dataiku found that fewer than one in five organisations keep a complete and current inventory of their AI systems. Dataiku argues that most existing agent platforms only provide visibility into agents built within their own environments, leaving companies without a full view of ownership, purpose, cost or risk. Cross-platform oversight Agent Management connects to platforms used by enterprise teams, including AWS Bedrock, Databricks Agents, Google Vertex, Microsoft Copilot Studio and Azure Foundry, Salesforce Agentforce, Snowflake Cortex and Dataiku's own software. It also supports OpenTelemetry for custom environments. The product scans these systems into a single inventory and identifies the structure of each agent, including the models and tools it relies on. The aim is to give managers and governance teams visibility into how an agent works, rather than simply confirming that it exists. For higher-risk agents, such as those handling customers, sensitive information or live transactions, the system records certification status, named risks and scheduled tests. This creates an evidence trail for managers, auditors and regulators. The product is positioned above individual vendor stacks rather than within a single platform, allowing companies to compare coverage and risk across a broader set of agents. Users can query the portfolio in plain language to identify unmonitored agents, concentrations of risk and whether agents are justifying their cost. "Ask a bank how many servers it runs, and you get an answer to the decimal. Ask how many AI agents it's running, and you get a shrug or a guess," said Florian Douetteau, Co-founder and Chief Executive Officer at Dataiku. "Nobody set out to build it this way. Teams built agents faster than anyone could count them. Agent Management tells you what's actually out there, and what it's actually worth," Douetteau said. Growing scrutiny The launch reflects a broader shift in enterprise AI from model experimentation to operational control. As businesses embed AI agents into customer service, internal workflows and transaction-heavy processes, they are facing the same questions long applied to other corporate systems: who owns them, what they cost, how they are tested and what risks they create. The issue is becoming more pressing as companies adopt services from multiple providers. In many organisations, different teams build or deploy agents through cloud platforms, software vendors or internal systems, making it difficult to maintain a central record. Dataiku's approach suggests a growing market for tools that sit across competing AI platforms rather than within a single ecosystem. That could appeal to large companies trying to impose consistent oversight over fragmented deployments, particularly where governance requirements span technical, financial and compliance teams. Commercial model Agent Management will be generally available in October and priced annually per instance, with monitoring charged per agent. Dataiku did not disclose pricing levels. Dataiku sells software for building, deploying and governing analytics, machine learning and AI systems across enterprise environments. Its platform is designed to sit above data platforms, cloud infrastructure, applications and AI services, with a focus on centralised oversight in multi-vendor settings. The release of Agent Management adds a dedicated layer for organisations seeking to catalogue and supervise a growing estate of AI agents spread across several technology stacks.

FOX 5 San Diego
Sep 30th, 2026
Akeneo continues to invest in the future of commerce with strategic leadership appointments.

Akeneo continues to invest in the future of commerce with strategic leadership appointments. Sep 30, 2026, 7:00 AM ET New leadership across Customer Success, Marketing and Global Center of Excellence strengthens Akeneo's investment in the U.S. market as it accelerates into the next era of AI-powered commerce BOSTON, Sept. 30, 2026 /PRNewswire/ - Akeneo, the Product Experience (PX) company and leading provider of Product Cloud solutions, today announced three leadership appointments across Customer Success, Marketing and its Center of Excellence, as it invests in its next phase of growth with its U.S. customers at the center. Jean Lethuillier has joined as Vice President of Customer Success, based in Boston. She joins Carole Offredo, Chief Marketing Officer, and Edouard Dewulf, Senior Director, Global Center of Excellence, adding expertise in customer success, AI and forward-deployed engineers. "Commerce is entering a new phase, and we are investing now in the people, technology and expertise for Akeneo to lead that change," said Romain Fouache, CEO of Akeneo. "Our customers are preparing for a world where AI engines and agents play a much greater role in how products are discovered and purchased. Strengthening our global leadership, and more particularly in the U.S., is about helping them make that transition successfully as we massively accelerate Akeneo's pace for what comes next." Strengthening Customer Impact in the U.S. Jean Lethuillier was most recently SVP of Customer Success at Zoovu. She previously held customer and partner success leadership roles at Sherpa, Cybereason, XING/kununu and Fuze, after starting her career in consulting at PwC China. She has turned post-sales organizations into drivers of retention, expansion and revenue growth. At Akeneo, she will focus on customer outcomes and the company's growing enterprise base. "The U.S. is already at the heart of Akeneo's business, and it is also where we see commerce evolving fastest," said Jean Lethuillier, Vice President of Customer Success at Akeneo. "As AI transforms how products get discovered and purchased, our customer success team has a real opportunity: to turn product data into measurable outcomes for our customers, not just as a post-sale function, but as something that actively drives their growth." Adding AI and Enterprise Transformation Expertise Carole Offredo joins as Chief Marketing Officer after a decade at Dataiku, where she helped build and scale the marketing organization as the company grew into a global enterprise AI company. At Akeneo, she will lead marketing as the company brings its agentic Product Cloud to enterprise customers, with a focus on the U.S. Edouard Dewulf joins as Senior Director, Global Center of Excellence, after seven years at Accenture Song leading digital, commerce and Product Experience Management transformations for major organizations. With more than 15 years in digital services, including years working with Akeneo from the partner side, he strengthens Akeneo's ability to support enterprise customers. "Product data is becoming a foundational infrastructure component for the enterprise, particularly as AI changes how products are discovered, managed and brought to market," said Edouard Dewulf, Senior Director, Global Center of Excellence at Akeneo. "Our Center of Excellence and Forward Deployed Engineers are about making enterprises ready for that shift, bringing deep technical and transformation expertise closer to customers so they can build the product data foundations they need for what comes next." Investing for What Comes Next The appointments follow a year of product investment. Akeneo acquired PricingHUB to bring product data and pricing together as two signals for discovery, relevance, conversion and business performance, and introduced Agentic Ziggy in its Summer 2026 Release, an agentic UI layer within Akeneo Product Cloud that governs and coordinates specialized AI agents across the product data lifecycle. Akeneo was also the top-ranked vendor in the July 2026 Product Information Management Data Quadrant from Info-Tech SoftwareReviews and an Exemplary Vendor in the 2026 ISG Buyers Guide reports for both Product Information Management Platforms and Product Experience Management. About Akeneo Akeneo is the Product Experience (PX) company and global leader with its Product Cloud solutions, providing the foundational operating system for the AI commerce era. With its agentic Product Cloud, Akeneo enables brands, manufacturers, distributors, and retailers to centralize, govern, and orchestrate their product information, transforming fragmented data into trusted, actionable assets. With the integration of PricingHUB, Akeneo extends its platform beyond product data to unify product data and pricing - the two signals that drive discovery, conversion, and business performance. Together, Akeneo helps organizations move from managing product information to making better business decisions, aligning what they sell and how they sell it to compete and win in a rapidly evolving, AI-driven market. Leading global brands, including Chico's, TaylorMade Golf, Rail Europe, and more, trust Akeneo to scale their commerce initiatives and deliver consistent, high-performing product experiences. For more information: https://www.akeneo.com SOURCE Akeneo NOTE: This content is not written by or endorsed by "KSWB", its advertisers, or Nexstar Media Inc.

Citybiz
Sep 24th, 2026
citybiz+ french startup Biolevate raises €30M to expand to Boston.

citybiz+ french startup Biolevate raises €30M to expand to Boston. September 24, 2026 Paris: Biolevate, an AI startup for life sciences, secures 30 million euros in Series A funding to deepen its regulated pharma workflow solutions and open a Boston office, aiming to automate documentation and regulatory processes with evidence-grade AI systems for research and drug development. Biolevate CEO Joël Belafa (r) at a trade show. (Courtesy: Biolevate) Biolevate, the Paris-based startup building AI software for life sciences companies, said it has raised 30 million euros in Series A funding as it pushes deeper into regulated pharma workflows and prepares to open a Boston office. The round was co-led by RAISE France and Orange Ventures, with additional backing from MSD Global Health Innovation Fund, Station F and returning investor EQT Ventures. Startup.eu reported that RAISE France's Aymar Hénin will become chairman of Biolevate's board, while Orange executive Jérôme Berger will join as a board member. Founded by former Dataiku engineers and AI researchers, the company is led by co-founder and CEO Joël Belafa, a former director of engineering at Dataiku. Biolevate is targeting scientific and regulatory work that has traditionally depended on manual review, documentation and cross-checking. The company says its platform is designed to turn complex domain knowledge into "evidence-grade" workflows that preserve human oversight while making AI usable in highly regulated settings. At the center of the product is what Biolevate calls an Evidence Trail, a system that tcks the sources, decisions and steps behind AI-generated output, along with the person who validated it. The company says the setup is meant to help users in research, clinical development, regulatory submissions and drug discovery produce documents that remain traceable and auditable. Biolevate also says its software supports protocol drafting and clinical study report, or CSR, collaboration by pairing AI-generated first drafts with linked source material. That approach is meant to replace the start-from-scratch drafting process with a review-and-approval model, while maintaining consistency with regulatory guidelines across markets. Orange said its own investment reflects a broader push to strengthen innovation in life sciences. The telecom group described Biolevate's technology as part of a wider wave of agentic AI, software that can plan and execute tasks with a degree of autonomy, while still relying on verified scientific and regulatory knowledge. Orange said the technology can be used across the drug development and market access pipeline. The company also said Biolevate will work with Enovalife, a unit under Orange Business, on automating protocol and CSR creation and on regulatory bridging, the process of adapting documents to country-specific requirements. Biolevate said the funding will help it expand internationally, deepen product development and scale deployments with large life sciences customers. The company also plans to establish a foothold in Boston, putting it closer to the US pharmaceutical market as investors continue to back enterprise AI tools built for tightly controlled industries. [Noah Wire Services helped in the writing of this article.]

The Fast Mode
Jun 26th, 2026
Radware, Dataiku deliver AI security controls for enterprise AI deployments.

Radware, Dataiku deliver AI security controls for enterprise AI deployments. Radware, a global leader in application security and delivery solutions for multi-cloud environments, announced a partnership with Dataiku, the Platform for AI Success, to integrate Radware's application, AI and API security capabilities into Dataiku's platform. The combined solution is designed to enable enterprises to monitor, inspect, and help control AI-driven actions across applications, APIs, and data, addressing a growing need to secure AI systems as they move into production. The collaboration brings Radware's AI guardian agent services into AI initiatives earlier, expanding beyond traditional security budgets and creating new entry points into enterprise stakeholders, including security and risk teams. Dataiku's governance and orchestration layer gives Radware a natural entry point into the enterprise. This broadens Radware's participation in enterprise technology investments while extending Dataiku's platform with security capabilities designed for production-scale AI deployments. As AI systems begin executing actions across APIs, data, and business workflows, new risks emerge, including unauthorized activity, data exposure, and abuse of connected systems. Radware integrates into Dataiku's platform designed to monitor, inspect, and help control these actions in real time, giving organizations a control point at execution visibility to help enforce policy and help prevent unintended or malicious behavior. The combined solution is designed to give organizations greater control over how AI systems behave in production, aimed at reducing the risk of unauthorized actions, data exposure, and compliance gaps, while extending Dataiku's platform with runtime security enforcement. For example, Radware is designed to detect and block goal hijacking attempts, and Dataiku analyzes the signal, helps identify the source, and facilitates remediation designed to help organizations to move from detection to response and strengthen security at scale. Travis Volk, vice president, global technology solutions, Radware AI systems are moving from generating output to executing actions across enterprise systems. Security teams need visibility and control at the point of execution. This partnership extends enforcement to where AI risk actually occurs. Hugo Sheng, VP of Strategic Technology Alliances, Dataiku Enterprises are rapidly operationalizing AI across critical business processes. By integrating Radware's runtime security controls, we are helping customers ensure their AI systems remain secure and controlled as they execute in real-world environments. Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons. The Fast Mode 9658 likes TWEETS 28.4K FOLLOWING 3479 FOLLOWERS 13.2K

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