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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1,001-5,000
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Series F
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$846.4M
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Founded
2013
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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.
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.
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
Dataiku has launched a Manufacturing AI Blueprint called Maintenance Scheduling Assistant, built with NVIDIA AI, to help manufacturers modernise factory maintenance operations. The solution combines Dataiku's AI platform with NVIDIA's infrastructure and the Nemotron 3 Super open model to optimise maintenance scheduling decisions. The blueprint uses natural language interfaces to let maintenance managers request optimised schedules based on real-time plant conditions and business priorities. It evaluates operational signals and production constraints to recommend maintenance plans that adapt to changing factory floor conditions, reducing unplanned disruptions and improving coordination between maintenance and production teams. Validated on NVIDIA RTX PRO Blackwell Server Edition GPUs, the solution is available to customers running NVIDIA AI Enterprise software, forming part of Dataiku's broader Reasoning System for Manufacturing Operations.
Dataiku launches AI Blueprint to help manufacturers modernize factory operations with NVIDIA AI. New Manufacturing AI Blueprint delivers an intelligent Maintenance Scheduling Assistant designed to reduce disruption, improve coordination, and bring governed AI to the factory floor. NEW YORK - June 25, 2026 - Amid evolving labor shortages and supply chain dynamics, manufacturers are focused on delivering more uptime with fewer resources - while many of the systems guiding critical maintenance decisions remain largely manual and fragmented. Dataiku, The Platform for AI Success, today announced a new Manufacturing AI Blueprint, Maintenance Scheduling Assistant, built with NVIDIA AI to help industrial organizations modernize how maintenance decisions are made. Designed for global manufacturers, the blueprint combines Dataiku's governed AI platform with NVIDIA AI infrastructure and leverages the recently released NVIDIA Nemotron 3 Super open model to give maintenance leaders a smarter, more coordinated way to plan by delivering high accuracy in reasoning and instruction-following for complex agentic tasks. By harnessing NVIDIA's high-performance (NVFP4) precision format, this architecture delivers up to 5x higher output than previous generations, allowing manufacturers to process large volumes of operational data faster and generate maintenance recommendations without sacrificing real-time performance. Built for real-world industrial environments, the Dataiku Manufacturing AI Blueprint is validated on NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, delivering the performance and efficiency required to run advanced AI workloads reliably at scale. "Manufacturing is entering a phase where operational resilience is becoming a competitive advantage," said David Tharp, SVP of Partnerships at Dataiku. "The question isn't whether AI can predict failures - it's whether organizations can operationalize that intelligence in a way that's trusted, scalable, and embedded into daily decision-making. This blueprint, powered by NVIDIA, helps manufacturers move beyond isolated automation toward AI systems that can reason through complex operational trade-offs and support better decisions in everyday operations, laying the foundation for a new class of AI reasoning systems." Through a natural language interface, maintenance managers can request optimized maintenance schedules based on current plant conditions and business priorities. The system evaluates operational signals and production constraints in real time, recommending clear, prioritized maintenance plans that adapt as conditions on the factory floor shift. Instead of relying on spreadsheets, siloed systems, and reactive workflows, factories can now use an intelligent assistant that dynamically balances equipment health, production schedules, and workforce availability - adapting to changing conditions rather than relying on static rules or manual coordination. The result: fewer unplanned disruptions, faster planning cycles, and stronger alignment between maintenance and production teams, all within an enterprise AI environment built for oversight and control. By pairing NVIDIA's high-performance AI infrastructure and AI software with Dataiku's centralized governance, manufacturers can deploy advanced predictive capabilities without sacrificing transparency or operational discipline. This approach reflects a broader shift toward AI-driven reasoning systems, where decisions are not just automated but informed by data, models, and business context to support more consistent and coordinated operations. By bringing together data, models, and human expertise, manufacturers can coordinate decisions across maintenance, production, and resource planning - embedding institutional knowledge directly into workflows with transparency and control. Dataiku call this the Dataiku Reasoning System for Manufacturing Operations, and it's available today. This new offering extends use cases like the Maintenance Scheduling Assistant Blueprint, allowing them to be integrated and managed at scale across production areas and even factories. "AI is improving uptime and scaling efficiency across complex manufacturing pipelines," said Jason Schroedl, Director, Product Marketing - Enterprise Platforms, NVIDIA. "Dataiku's integration of NVIDIA AI software, Nemotron open models, and RTX PRO Blackwell Server Edition GPUs provides manufacturers with performance and reliability for deploying intelligent maintenance systems at scale." Availability One of several solutions designed in collaboration between Dataiku and NVIDIA, the Manufacturing AI Blueprint is available to customers in environments running NVIDIA AI Enterprise software. To learn more, visit: https://www.dataiku.com/partners/nvidia/. About Dataiku Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
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Industries
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$846.4M
Headquarters
New York City, New York
Founded
2013
Find jobs on Simplify and start your career today