Skip to content
New: the dataset now includes 2,277 company profiles and every supplied review record. See the methodology →
◎ RankGlobal mapped

Dataiku

LLM Agents & RAG · AI Ethics & Governance · Automation & WorkflowNew York, USAFounded 2013

The Universal AI Platform uniting human expertise with AI reasoning, enabling enterprises to build, deploy, govern, and scale analytics, machine-learning models, and GenAI agents across global industries.

4.9
Average rating
10
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
LLM Agents & RAG
Team size
250+ employees
Typical budget
$100K+
Primary industry
Financial Services & Insurance
Provider overview

A clear view of what Dataiku does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
LLM Agents & RAG provider for Financial Services & Insurance

The Universal AI Platform uniting human expertise with AI reasoning, enabling enterprises to build, deploy, govern, and scale analytics, machine-learning models, and GenAI agents across global industries. RankGlobal maps its primary capability to AI Agents within LLM Agents & RAG, with supporting relevance to Generative AI Development, Large Language Models. Its strongest supplied industry signals align with Commercial & Retail Banking, General Manufacturing, General Retail.

See how this profile was mapped →
Primary AI category
LLM Agents & RAG
Strongest industry signal
Financial Services & Insurance
Engagement profile·$100K+·250+ employees·Service
Mapped capabilities · 6 categories
Technology

Platforms, methods and technical signals

LLM MeshAutoML

Tools and platforms named in Dataiku's supplied company profile.

Expertise

Named expertise on file

  • GenAI & Agents

    Providing a unified platform (LLM Mesh) to design, deploy, and monitor LLM-powered applications and agents.

    LLM MeshGenAI AgentsEnterprise AI
  • AI Governance

    delivering centralized oversight and auditable trails for every AI project and model across the organization.

    GRCAI GovernanceAccountability
  • AI Engineering Ops

    Implementing robust pipelines (MLOps) to automate model deployment and ensure production reliability.

    MLOpsCI/CD for MLInfrastructure
  • Low-code / No-code Data Science

    Enabling "citizen data scientists" across the business to build and utilize AI without deep coding skills.

    LCNCData LiteracyWorkforce Upskilling
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Dataiku, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
LLM Agents & RAG
Compared with
933 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
60th percentile of 933 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

LLM Agents & RAG among 933 published providers

Average rating4.86 · median 4.83
Mapped reviews10 · median 10
Profile completeness100% · median 100%
Taxonomy breadth22 · median 21
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
LLM Agents & RAG100%
AI Ethics & Governance96%
Automation & Workflow96%
MLOps & Infrastructure96%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
3 industries on the map
3
Financial Services & Insurance33%
Manufacturing & Industrial33%
Retail, Wholesale & Consumer Goods33%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct68% · 15
Supported27% · 6
Related5% · 1

Imported mapping grades across 22 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Dataiku presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 60th percentile of 933 published providers in LLM Agents & RAG, and 10 reviews back the commercial profile.

Current positioning: P60 evidence quality · P58 industry breadth
Strongest signals
Evidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fit
Financial Services & Insurance buyers evaluating LLM Agents & RAG at a $100K+ engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
10
Reviews
4.9
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

Explore capabilities
Mapping grades
Direct
Supported
Related
Adjacent
Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

3 mapped subindustries
Direct · Primary
Commercial & Retail Banking

Source industry: Banking

98% mapping confidence
Client feedback

What clients say.

Reviews and ratings published for this provider.

5
Bridging the No-Code to Python Gap via Unified AI Platform Innovation

The only platform that truly bridges the gap between no-code visual flows and deep Python/R coding.

Head of AI
5
Unifying the ML Lifecycle via Specialized All-in-One AI Engineering

Eliminated our disparate tools. We handle the full ML lifecycle—ingestion to monitoring—in one place.

CDO, Retail
5
Simplifying AI Compliance via Specialized Governance and Audit Logs

Governance is the killer feature. Role-based access and audit logs make compliance a non-issue.

Data Scientist
5
Scaling Enterprise-Grade Success via Cloud-Native AI Integration

Cloud-native and scales flawlessly with our Snowflake and Databricks clusters. Truly enterprise-grade.

CTO, Finance
5
Slashing Operational Time via Specialized AutoML Predictive Analytics

AutoML saved our team months. It's the best way to operationalize predictive analytics fast.

Product Mgr
5
Maximizing ROI via Reduced Manual Effort and AI Operational Risk

High initial cost, but the reduction in manual effort and operational risk justifies the investment.

Finance Head
5
Achieving 0% Error Rates via Robust AI Workflow Orchestration

Workflow orchestration is robust. We've automated repetitive data tasks with 0% error rates.

Ops Director
5
Resolving Technical Challenges via a Vibrant Global AI Community

Vibrant community. Any troubleshooting is resolved in hours thanks to the active user base.

Support Lead
5
Managing Sensitive Medical Data via Secure AI Innovation Partnerships

Helping us manage sensitive patient data with total security. A brilliant and trusted partner.

CDO, Health

10 published quotes on this profile.

Showing 9 of 10, ranked by display order then recency.

Rating distribution
5
10
4
0
3
0
2
0
1
0

Ratings aggregate 10 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Dataiku, and the three things worth confirming directly once you're in touch.

Primary category
LLM Agents & RAG
Primary industry
Financial Services & Insurance
Typical budget
$100K+
Team size
250+ employees
  1. 1
    Name the use case

    Say which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $100K+ band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Financial Services & Insurance — the strongest industry signal on this profile.

Enquire about Dataiku

Three fields. Anything longer belongs on the full contact page, linked below.