Dataiku | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Analytics & Tracking
Social & Marketing
Development
Video & Media
Email & Communication
Keywords & Focus Areas
Dataiku
Overview
Founded in 2013 in Paris, France, Dataiku is a global technology company offering the Universal AI Platformβ’, designed to democratize data science, machine learning, and artificial intelligence. The platform enables organizations to collaborate across teams, integrate data from multiple sources, and deploy AI at scale to drive business innovation. Dataiku promotes a people-first culture and is dedicated to supporting AI-for-Good initiatives.
The cloud-agnostic platform is used by over 750 organizations globally, including Forbes Global 2000 companies, spanning life sciences, logistics, retail, manufacturing, energy, financial services, and software industries. With flexible tools for no-code, low-code, and full-code users, Dataiku delivers features such as data preparation, machine learning, and AI model deployment, facilitating collaboration and empowering data-driven decision-making through Everyday AI.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2013 |
| Revenue | 350M |
| Headquarters | 125 W 25th St, New York, NY 10001, United States |
| Alexa Ranking | 107871 |
Contact Details
- Phone: +1 646-568-7477
- Website: dataiku.com
- LinkedIn: linkedin.com/company/dataiku
Key Focus Areas & Initiatives
- Data science
- Machine learning
- Collaborative data science
- Enterprise AI
- Big data
- Automated machine learning
- Responsible & transparent AI
- Data democratization
- Generative AI
- Scalable AI solutions
- AI lifecycle management
- Cloud-agnostic, multi-cloud support
- AI governance and compliance
- AI for public sector, healthcare, retail, finance, energy, insurance, manufacturing, telecommunications, utilities
- Data preparation & pipeline automation
- Predictive analytics
- Self-service analytics
- Data visualization & model explainability
- AI platform integration and deployment
- Workflow and analytics automation
- No-code/low-code/Full-code collaboration
- Everyday AI and AI-for-Good
Technologies Used
- AI
- ANGEL LMS
- AWS SDK for JavaScript
- AWS Trusted Advisor
- AdRoll
- Airtable
- Anaplan
- Angular
- AngularJS
- Ansible
- Argocd
- Asana
- Azure Linux Virtual Machines
- Azure Machine Learning
- Bing Ads
- Bootstrap Framework
- Chargebee
- CloudFlare Hosting
- Cloudflare DNS
- Creatopy
- D3js
- Databricks
- Dataiku
- Docker
- Domo
- DoubleClick
- DoubleClick Conversion
- DoubleClick Floodlight
- Facebook Custom Audiences
- Facebook Login (Connect)
- Facebook Widget
- Flask
- Freshdesk
- Freshservice
- FullStory
- GitHub Actions
- Gmail
- Google AdSense
- Google AdWords Conversion
- Google Analytics
- Google Apps
- Google Charts
- Google Cloud Platform
- Google Dynamic Remarketing
- Google Font API
- Google Maps
- Google Places
- Google Tag Manager
- Google Workspace
- Grafana
- Greenhouse.io
- Hotjar
- Hubspot
- IBM ILOG CPLEX Optimization Studio
- Intercom
- Javascript
- Jupyter
- Kubernetes
- LeanIX Enterprise Architecture Management
- Linkedin Login
- Linkedin Marketing Solutions
- Linkedin Widget
- LiveRamp
- Looker
- Marketo
- Microsoft Azure Monitor
- Microsoft Office 365
- Miro
- Mixpanel
- Mobile Friendly
- Ning
- Parse.ly
- PostgreSQL
- PySpark
- PyTorch
- Python
- R
- Rapid7 InsightVM
- React
- React Redux
- Remote
- Ruby On Rails
- SQL
- Salesforce
- Segment.io
- Sisense
- Slack
- Snowflake
- SolarWinds Security Event Manager
- Spark
- Spring
- Tableau
- TensorFlow
- Terraform
- The Trade Desk
- Ticket Tailor
- Twitter Advertising
- Typeform
- Typekit
- Unix
- Vertex AI
- Vidyard
- VueJS
- WordPress.org
- Workday
- YouTube
- Zendesk
- Zoomdata
- scikit-learn