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Dataiku

Also known as: Dataiku Universal AI Platform, LLM Mesh

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Entry priceFree Edition and 14 day cloud trial; paid editions through salesFull pricing detail

Enterprise AI and machine learning platform with an agentic layer for building and governing agents.

Dataiku is an enterprise AI platform, founded in 2013 with offices in New York and Paris, that has extended its data preparation, machine learning, and analytics environment to build, run, and govern AI agents in the same place. Analysts, data scientists, and developers work side by side through no-code, low-code, and full-code interfaces on one governed foundation.

Agents come in several forms: simple visual agents, structured visual agents that lay out a sequence with routing, delegation to other agents, parallel branches, loops, and reflection, code agents in Python, and external agents from Snowflake Cortex, Databricks, AWS Bedrock, and Google Vertex AI.

They call tools such as API endpoints, OpenAPI specifications, MCP servers, and Knowledge Bank search over vector stores with document-level security, can keep long-term memory per user, and can be set to pause for a person's approval before a sensitive tool call.

Underneath sits the LLM Mesh, which gives administrators governed connections to OpenAI, Anthropic, Bedrock, Vertex, Mistral, NVIDIA NIM, Snowflake Cortex, locally hosted models, and others, with cost control, rate limiting, and guardrails for PII, prompt injection, and toxicity.

Agents reach people through Agent Hub, Agent Chat, Slack, and Microsoft Teams, run unattended inside automation scenarios on schedules or data changes, and are exposed to other systems through REST and Python APIs, an A2A server, and an MCP server. Every call returns a nested trace with tokens and cost for the Trace Explorer, and an Evaluate Agent recipe and Agent Review score answers and tool paths across versions. Dataiku Solutions add ready-made GenAI and agent solutions for selling, supplier management, clinical trials, medical entity extraction, and finance insights.

Dataiku runs as the fully managed Dataiku Cloud or on a company's own infrastructure. Its trust program lists ISO 27001, ISO 27701, and ISO 42001 certification and SOC 2 Type II for Dataiku Cloud. A free edition and a 14-day cloud trial are available, and paid editions are quoted by sales. It suits enterprises that want agents on the same governed platform as their analytics and models; teams wanting a turnkey conversational agent will find a broad build-it-yourself platform instead.

Vendor details

Canonical URL

https://dataiku.com

Category

Multi-agent platform

Subcategory

Enterprise AI and ML platform with agentic layer

Funding status

Privately held enterprise AI company founded in 2013, with headquarters in New York and Paris.

Company status

independent

Use cases & customers

Primary use cases

governed multi agent workflowsmulti model routing via LLM Meshagent evaluation and monitoringRAG and analytics grounded agents

Target customers

enterprise

Deployment options

SaaSself-managedany cloudon-prem

Integrations

Connects to any cloud provider, data platform, and GenAI service, with the LLM Mesh routing across more than a dozen model providers including OpenAI, Anthropic, and Mistral. A plugin ecosystem, full Python and LangChain support, and the Agent Connect hub let teams integrate external agents, tools, and enterprise data into governed workflows.

In practice

You want agents but refuse to lock into one model vendor. Dataiku's LLM Mesh routes agents across OpenAI, Anthropic, Mistral, and self hosted models, so you swap providers per use case without rewriting a thing.

Compliance will not let unmonitored agents touch production. Dataiku registers, risk scores, and signs off every agent like a model, traces each tool call, and evaluates output continuously against defined quality expectations.

Analysts and data scientists need to build agents on the same trusted data. Dataiku gives a no code canvas and full Python with LangChain over one governed layer, grounding agents in your pipelines and business logic.

Agentic Index coverage score

13.0 / 14 capabilities · 93%

Integrations & Tool Calling Full

Agents call managed tools, API endpoints, OpenAPI specs, local and remote MCP servers, Knowledge Bank search, LLM Mesh queries, web search, inline code and plugin tools, over connections secured per group.

Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27

Workflow Orchestration Full

Structured visual agents define sequences with routing, delegation to other agents, parallel and for each branches, agentic loops and reflection blocks, alongside code agents and external agents from Snowflake Cortex, Databricks, AWS Bedrock and Google Vertex AI; Agent Hub can orchestrate a query across several agents.

Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/index.htmlread 2026-09-27

Knowledge Grounding & RAG Full

Knowledge Banks embed datasets and documents into vector stores that agents search through a Knowledge Bank Search tool with static, dynamic and agent inferred filters and document level security, with GraphRAG and automated RAG optimization also documented.

Sourcedoc.dataiku.com/dss/latest/agents/tools/knowledge-bank-search.htmlread 2026-09-27

Human Oversight & Guardrails Full

Human approval set on a tool makes a visual agent pause before calling it and ask the user to confirm, optionally letting the person reviewing edit the tool inputs (not inside For Each, Parallel or Reflection sub sequences), and guardrails cover PII, prompt injection, toxicity, topic boundaries and bias.

Sourcedoc.dataiku.com/dss/latest/agents/tools/human-approval.htmlread 2026-09-27

Security, Identity & Governance Full

SSO through SAML, OIDC, LDAP and Kerberos, MFA, user profiles, per project group and user permissions, connection security, user secrets and an audit trail are documented, and the trust page lists ISO 27001:2022, ISO 27701, ISO 42001 and ISO 9001 certification, SOC 1 and SOC 2 Type II for Dataiku Cloud, and a HIPAA report.

Sourcedataiku.com/legal/trustread 2026-09-27

Observability & Auditability Full

Every LLM Mesh call returns a nested trace of the agent's LLM calls, guardrail steps, inputs, outputs, tokens and cost, viewed in the Trace Explorer (tree, timeline and explorer views), and the evaluation trajectory explorer replays tool calls in order; an audit trail records user actions.

Sourcedoc.dataiku.com/dss/latest/agents/tracing.htmlread 2026-09-27

Memory & State Persistence Full

Long term memory blocks store facts, such as preferences, and episodes from past conversations in memory banks, kept separately per user, shared by agents in a project through a default bank or split into named banks, and retrieved by LLM filtering and semantic search in later conversations. No retention period or delete path is stated.

Sourcedoc.dataiku.com/dss/latest/agents/structured-visual-agents/blocks/long-term-memory.htmlread 2026-09-27

Deployment & Data Residency Full

Dataiku runs as fully managed Dataiku Cloud or is installed on the customer's own infrastructure (Linux, macOS, experimental Windows) with hybrid options through sales, and the docs carry installation, cloud and container deployment sections; locally running Hugging Face models keep inference in house.

Sourcedataiku.com/product/get-startedread 2026-09-27

Prebuilt Agents, Templates & Packs Full

Dataiku Solutions include named GenAI and agent solutions for separate jobs, Dynamic Selling Assistant, Supplier Management Assistant, Clinical Trial Intelligence Assistant, Medical Entity Extraction Assistant and Agentic Insights; Agent Hub distributes an organization's own governed agents and prompt library rather than shipping agents of its own.

Sourceknowledge.dataiku.com/latest/solutions/index.htmlread 2026-09-27

Triggers & Channel Coverage Full

Agents run inside automation scenarios, which start on time based, dataset change, SQL query change, scenario completion or Python triggers without a person, and users reach agents in Slack (DM or mention), Microsoft Teams, Agent Hub, Agent Chat and through APIs.

Sourcedoc.dataiku.com/dss/latest/scenarios/index.htmlread 2026-09-27

Model Flexibility & Routing Full

Administrators define LLM Mesh connections to OpenAI, Azure OpenAI, Anthropic, AWS Bedrock and SageMaker, Microsoft Foundry, Google Vertex, Mistral, Cohere, NVIDIA NIM, Snowflake Cortex, Databricks foundation model APIs and locally running Hugging Face models, and agents pick from them, with cost control and rate limiting documented.

Sourcedoc.dataiku.com/dss/latest/generative-ai/llm-connections.htmlread 2026-09-27

APIs, SDKs & MCP Extensibility Full

Agents are exposed as A2A servers at a per agent public API endpoint with well known URI discovery and bearer API key auth, in JSON-RPC and SSE modes, beside a documented MCP server, the public REST API, the Python API and LangChain integration on developer.dataiku.com, and a plugin system.

Sourcedoc.dataiku.com/dss/latest/agents/a2a.htmlread 2026-09-27

Testing, Debugging & Optimization Full

The Evaluate Agent recipe scores answers and the path taken, with ordered and unordered tool call checks, RAGAS based LLM judges, BERTScore and custom metrics, stores results for side by side version comparison, and Agent Review lets builders and SMEs run test cases against an agent version with human verdicts overriding the judge.

Sourcedoc.dataiku.com/dss/latest/agents/evaluation.htmlread 2026-09-27

Browser & Computer Use Not documented

The agent tool list covers APIs, MCP, knowledge search, code and an LLM side web search tool, with no browser or computer use tool documented.

Sourcedoc.dataiku.com/dss/latest/agents/index.htmlread 2026-09-27

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-09-15·IntegrationsPartially Verified

Dataiku launched Cobuild on Snowflake, which combines Snowflake Cortex AI's model access with Dataiku's orchestration layer so users can build and validate AI workflows and agents in plain language.

Bears on: Integrations

View source
View all 1 change for Dataiku →Tracked since Sep 2026 · Verified from public vendor sources

Pricing

Free Edition and 14 day cloud trial; paid editions through sales

users and platform capabilities

Free tierTrial available

Included quota

Trial: 2 users, 1 API service, 4 CPUs, 32 GiB elastic compute for 14 days. Free Edition: local install, limits not stated on the page read.

What is public

The Free Edition download and the 14 day Dataiku Cloud trial with its limits are public. Paid editions, hybrid deployment and commercial terms are quoted by sales; no paid price is published and the former /product/pricing URL returns 404.

Billing mechanics

Free Edition to start, then enterprise editions priced by number of users and enabled capabilities, sold through sales. Agentic features and the LLM Mesh are part of the platform; the Mesh adds central control over underlying LLM token spend.

Cost watchouts

Beyond platform licensing, running agents incurs LLM token costs from the chosen providers. The LLM Mesh Cost Guard helps enforce budgets, but heavy agent usage still drives model spend.

Variable cost rationale

Enterprise pricing scales with users and capabilities; the LLM Mesh centralizes and controls model spend, but underlying LLM token costs and scaling agents add usage based cost.

Additional watchouts

Enterprise pricing scales with users and capabilities and is not public; separately, agents incur underlying LLM token costs, which the LLM Mesh helps cap but does not remove.

Sales call required

Yes, required for paid access

Free / trial

Free Edition for local install on Linux, macOS or Windows (experimental); 14 day Dataiku Cloud trial with 2 users, 1 API service, 4 CPUs and 32 GiB elastic compute, no credit card, all features except Govern and advanced LLM Mesh.

Key ambiguities

No paid figure is published; editions, users and deployment are quoted by sales, and model token costs sit on top.

Agentic Index verified 2026-09-27

Alternatives to Dataiku

The closest documented capability profiles to Dataiku among multi-agent platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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