Dataiku vs Fin

AI building agent that turns a business objective written in plain language into a governed Dataiku project of data pipelines, models, agents and applications rendered as an editable visual workflow.

Cross-platform governance product that discovers every AI agent an enterprise is running -- on Microsoft Copilot Studio, Azure Foundry, Salesforce Agentforce, AWS Bedrock, Google Vertex, Databricks, Snowflake Cortex, n8n or Dataiku itself -- measures each agent's business and technical performance, and flags the ones that pose the greatest risk. Announced 2026-09-24; distinct from Dataiku Agent Hub, which creates and operationalizes agents rather than discovering and governing agents built anywhere.

Control layer over the Dataiku LLM Mesh that caps LLM spend, screens prompts and outputs for sensitive or malicious content, and scores model output quality.

Centralised gateway that routes, meters and governs an organisation's connections to multiple LLM providers from inside the Dataiku platform.

Customer-facing AI support agent that resolves questions from a company's knowledge sources, takes actions in connected systems via multi-step Procedures, and hands off to a human when it cannot resolve the request; answers are generated by Intercom's in-house Fin CX model suite, led by Fin Apex 1.0.

Autonomous operations agent that tunes the Fin agent's configuration, keeps its knowledge sources current, detects incidents and surfaces prioritised improvements from conversation data, with changes gated behind human approval.

Voice AI agent that handles inbound and outbound phone calls using the same knowledge sources, actions and procedures as the Fin text agent, over a phone number provisioned in Intercom or over a customer's own PSTN/SIP telephony.

Patented seven-phase retrieval/response architecture (query refinement, content retrieval, reranking, generation, accuracy validation, engine optimization, security) powering Fin's customer-service products, including the Fin Apex 1.0 generative model.