Dataiku
Founded in Paris in 2013 and now headquartered in New York, Dataiku provides an enterprise AI and data science platform positioned for "Everyday AI." It lets data scientists, analysts and business users collaboratively prepare data, build analytics and machine learning models, develop generative AI and agentic applications, deploy and operate them (MLOps), and govern AI systems across vendors (including its LLM Mesh).
About
Founded in Paris in 2013 and now headquartered in New York, Dataiku provides an enterprise AI and data science platform positioned for "Everyday AI." It lets data scientists, analysts and business users collaboratively prepare data, build analytics and machine learning models, develop generative AI and agentic applications, deploy and operate them (MLOps), and govern AI systems across vendors (including its LLM Mesh). Customers include GE, Regeneron, the UK NHS, BNP Paribas, Toyota, LVMH, Standard Chartered, Zurich Insurance, Moderna, Johnson & Johnson, Novartis and Roche.
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Founders / team· 3
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- Dataiku
Founded in Paris in 2013 and now headquartered in New York, Dataiku provides an enterprise AI and data science platform positioned for "Everyday AI." It lets data scientists, analysts and business users collaboratively prepare data, build analytics and machine learning models, develop generative AI and agentic applications, deploy and operate them (MLOps), and govern AI systems across vendors (including its LLM Mesh). Customers include GE, Regeneron, the UK NHS, BNP Paribas, Toyota, LVMH, Standard Chartered, Zurich Insurance, Moderna, Johnson & Johnson, Novartis and Roche.
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United States
BusinessLatest roundTotal raisedDate- River AI
AI training and deployment API for enterprises: customers use their own data and business success criteria to run reinforcement learning fine-tuning and LoRA custom training on open-weight models; the trained weights are owned by the customer and can be deployed directly through OpenAI-compatible endpoints, with no vendor lock-in
Series A · $1.1B · 2026-08 · Valuation $5.0B
$1.1BValuation $5.0B - Replicate
Cloud API platform for developers to run, fine-tune and deploy open-source machine learning models with one line of code
Undisclosed · $40M · 2023-12
$40M - Predibase
Low-code machine learning platform for developers
Undisclosed · $12M · 2023-06
$12M
China
BusinessLatest roundTotal raisedDate- OpenCSG
Open-source LLM community and enterprise AI platform: open-source model/dataset hosting, AgenticOps agent building, data processing and inference deployment
Series A · $5M · 2026-09
$5M - 灵珠
No-barrier AI app creation platform where users generate websites and apps from a single natural-language sentence
Angel · 2026-07
— - Visincept
General-purpose vision foundation models and applications, MaaS, private deployment, vision for embodied AI
Angel · $51M · 2025-11
$51M
Europe
BusinessLatest roundTotal raisedDate- Unitary
Context-aware AI and multimodal machine learning methods for analyzing content context
Series A · $23M · 2023-10
$23M - Wakeline
Adaptive AI systems that keep learning from live operational data after deployment, without retraining
Pre-Seed · $2M · 2026-06
$2M - Deepset.ai
Platform for building enterprise applications on large language models
Undisclosed · $30M · 2023-08
$30M
Other / unspecified
BusinessLatest roundTotal raisedDate- CentML
Tools that lower the cost and improve the performance of deploying machine learning models
Seed · $27M · 2023-10
$27M - Deepchecks
Continuous machine learning validation platform
Seed · $14M · 2023-06
$14M - Agency
AI agent building, monitoring and auditing (the company behind the open-source tool AgentOps)
Pre-Seed · $3M · 2024-08
$3M
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