Dataiku vs Docusign

Dataiku — Application · Private · $3.7B valuation · 4 of 4 figures sourced  |  Docusign — Application · Public · $12.7B mkt cap · 4 of 4 figures sourced

Relationship

Overlaps on agent orchestration, data analysis, data security and 1 more; larger scale (public).

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

4 of 8 capabilitiesShared product typeLarger scale

4 of 8 capabilities — Shares agent orchestration, data analysis, data security and 1 more.

Ludbee capability tags · from the product records

Shared product type — Both ship AI agent and platform.

Ludbee product records

Larger scale — Docusign: $12.7B market cap, against Dataiku's $3.7B valuation.

Ludbee scale figures · valuation, market cap or revenue estimate

Aligned comparison

FieldDataikuDocusign
Size$3.7B valuation$12.7B mkt cap different basis
Employees1,2507,044 Docusign has 5.6× more
Founded20132003 10 yrs earlier
StatusPrivatePublic
CategoryApplicationApplication match
Stack layerAI agent, Agent platform, Infrastructure service, PlatformAI agent, Application, Platform
HeadquartersNew York, USASan Francisco, USA

Capability overlap

Shared · 4

Agent orchestrationData analysisData securityWorkflow automation

Not verified for Docusign · 4

Evaluation and observabilityGuardrails and safetyModel inferenceModel training

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

Not verified for Dataiku · 6

Document extractionIdentity verificationLegal drafting and reviewKnowledge retrievalSummarizationText generation

Recorded for Docusign. 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.

Platform

DataikuPlatform

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

Docusign

AI agent

Docusign Iris AI AgentsAI agent

Ready-to-deploy and custom AI agents that act on a company's agreement context to triage intake, redline contracts against standards, and assemble relationship briefs.

Platform

Docusign IAMPlatform

Intelligent Agreement Management platform built around Iris, Docusign's AI that reads a customer's contracts and surfaces obligations, risks and renewal dates, plus an Agreement Manager and Workflow Builder for acting on what it finds.

Docusign IrisPlatform

Docusign's agreement-AI layer that extracts data from contracts, surfaces risk and renewal insights, and powers the assistant and agents across the IAM platform.

No counterpart

Dataiku sells these in a stack layer with no product recorded for Docusign 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.

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.

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

Application

Docusign AI-Assisted ReviewApplication

An AI contract-review tool embedded in Microsoft Word that redlines agreements against playbooks, drafts clause language from plain-language instructions, and answers questions about a contract.

Docusign Agreement ManagerApplication

An intelligent agreement repository that uses Docusign Iris to automatically extract key terms, obligations and deadlines from stored contracts and make the portfolio searchable and reportable.

Docusign CLMApplication

Contract lifecycle management application filed under Docusign IAM: it generates contracts from dynamic templates and uses AI to flag non-compliant clauses, suggest approved language and draft new clauses, runs AI-assisted review, negotiation and summarisation, extracts key terms automatically and answers questions over the repository, all driven by Docusign's Iris AI engine. Sold through sales only.

Docusign IdentifyApplication

Family of AI-powered identity-verification and authentication products, using AI-enabled document and biometric liveness checks to validate signer identity, with certified-agent review for inconclusive cases.

Docusign Workflow BuilderApplication

No-code builder for agreement workflows that connects intake, document generation, conditional routing and signature steps and syncs data with CRM, procurement, storage and HR systems; Docusign's AI enters through agents that can be dropped into a workflow 'to handle dynamic, judgement-based tasks'. Included in every Docusign IAM plan, with a per-plan cap on the number of workflows.