Dataiku vs Vercel

Dataiku — Application · Private · $3.7B valuation · 4 of 4 figures sourced  |  Vercel — Application · Private · $9.3B valuation · 4 of 4 figures sourced

Relationship

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

Aligned comparison

FieldDataikuVercel
Valuation$3.7B$9.3B Vercel has 2.5× more
Employees1,250915 Vercel has 27% fewer
Founded20132015 2 yrs later
StatusPrivatePrivate match
CategoryApplicationApplication match
Stack layerAI agent, Agent platform, Infrastructure service, PlatformAI agent, API service, Application, Developer tool
HeadquartersNew York, USASan Francisco, USA

Capability overlap

Shared · 3

Agent orchestrationEvaluation and observabilityModel inference

Not verified for Vercel · 5

Data analysisData securityGuardrails and safetyModel trainingWorkflow automation

Recorded for Dataiku. Vercel’s product records say nothing either way — a missing record is not a missing capability.

Not verified for Dataiku · 4

Agentic codingCode generationModel hostingThreat detection and response

Recorded for Vercel. 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

AI agent

Dataiku CobuildAI 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.

Vercel

AI agent

Vercel AgentAI agent

Investigates production issues and reviews code, with Tasks, Recipes and a Software Factory workflow.

No counterpart

Dataiku sells these in a stack layer with no product recorded for Vercel yet — nothing on the other side to compare them against.

Agent platform

Dataiku Agent HubAgent platform

Centralised control plane inside the Dataiku platform for creating, orchestrating, deploying and tracking AI agents across teams.

Dataiku E2AAgent platform

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

DataikuPlatform

Platform for building, deploying and governing data, machine-learning and agent workflows across an organisation.

Infrastructure service

Dataiku Agent ManagementInfrastructure 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.

Dataiku LLM Guard ServicesInfrastructure service

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.

Dataiku LLM MeshInfrastructure service

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

Vercel sells these in a stack layer with no product recorded for Dataiku yet — nothing on the other side to compare them against.

Application

v0Application

Generates working user interfaces and full-stack app code from a written prompt or an existing design reference.

API service

Vercel AI GatewayAPI service

A single endpoint for hundreds of AI models, handling API keys, rate limits and failover on the caller's behalf.

Developer tool

Vercel BotIDDeveloper tool

Detects automated abuse of web and AI endpoints; free Basic mode, paid Deep Analysis for Pro and Enterprise plans.

Vercel ConnectDeveloper tool

Manages authenticated connections for AI agents.

Vercel SandboxDeveloper tool

Runs agent-generated code in isolated microVMs.