Dataiku vs Invisible Technologies
Relationship
Overlaps on agent orchestration, data analysis, evaluation and observability and 2 more; similar scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
5 of 8 capabilities — Shares agent orchestration, data analysis, evaluation and observability and 2 more.
Ludbee capability tags · from the product recordsShared product type — Both ship agent platform and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 5
Not verified for Invisible Technologies · 3
Recorded for Dataiku. Invisible Technologies’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Dataiku · 1
Recorded for Invisible Technologies. Dataiku’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Dataiku
Agent platform
Centralised control plane inside the Dataiku platform for creating, orchestrating, deploying and tracking AI agents across teams.
Expert-to-Agent engine that converts subject-matter-expert know-how into governed AI agents grounded in enterprise data with structured reasoning and human oversight.
Platform
Platform for building, deploying and governing data, machine-learning and agent workflows across an organisation.
Invisible Technologies
Agent platform
Documents and automates manual business workflows: maps how work actually gets done, then runs every step automatically, routing to the right AI system or person and enforcing quality checks.
Platform
Evaluates AI systems for quality, safety and accuracy against criteria a customer defines.
No counterpart
Dataiku sells these in a stack layer with no product recorded for Invisible Technologies yet — nothing on the other side to compare them against.
AI agent
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.
Infrastructure service
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.
Invisible Technologies sells these in a stack layer with no product recorded for Dataiku yet — nothing on the other side to compare them against.
Data service
Recruits and manages experts who produce training data, evaluations and reinforcement-learning environments for AI labs.
Network of 24,000+ vetted domain experts, continuously screened and organized by skill, language and domain expertise, for AI data labeling, testing and edge-case handling.
Data platform that pulls messy, scattered data from across a company's systems into one governed place, automatically cleaning and organizing it into an AI-ready foundation.