Dataiku, The Universal AI Platform™, has announced the launch of new AI agents. These capabilities are designed to help companies create, control, and scale AI agents for business applications.

Over the past year, the adoption of GenAI and AI agents has accelerated. Today, more than 20% of Dataiku’s customers use the platform to integrate GenAI into their workflows. Many customers have over 1,000 active use cases.

However, rapid growth has created challenges. Many businesses deploy agents without IT control. This leads to inconsistent quality, security risks, and unmanaged sprawl. Dataiku addresses these issues by embedding agents inside a trusted, governed system.

According to Florian Douetteau, co-founder and CEO of Dataiku, companies are now rethinking decades of enterprise applications. AI-native apps are becoming critical. These apps require a combination of analytics, predictive models, and agents. Only a platform like Dataiku can deliver all three together.

As organizations move from pilot projects to full deployment, governance becomes essential. Without it, agent performance can decline, and technical debt can grow. Dataiku is building the infrastructure needed for centralized creation, performance monitoring, and orchestration.

The platform supports both no-code and full-code agent development. Visual agent is ideal for business users. Code agent is built for developers. Both options come with governance features like managed tools, a GenAI registry, and risk validation workflows.

Security is also a top priority. Dataiku’s LLM Mesh architecture manages model access across vendors such as OpenAI, Anthropic, and Mistral. It also supports cloud services like Azure, AWS Bedrock, and Google Gemini, as well as self-hosted open-source models.

Dataiku offers flexible guardrails with Safe Guard. It also provides Agent Connect to unify agent access across teams, allowing for easier orchestration.

Continuous optimization is crucial. Agents can fail or drift over time. Dataiku’s Trace Explorer, Quality Guard, and Cost Guard tools help monitor decisions, measure performance, and control costs.

The platform connects AI agents to existing business workflows. It supports major cloud and data environments, including Snowflake, Databricks, Microsoft, AWS, and Google. This integration drives faster ROI while reducing complexity.

AI agents with Dataiku are available today. Companies can now strengthen their AI strategies with greater control, security, and scalability.

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