IVADO | Company Profile - Revenue, Headcount, Tech Stack, Contacts
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Industry & Market
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Funding Information
Headcount Distribution
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Keywords & Focus Areas
IVADO
Overview
IVADO is a research and knowledge mobilization consortium based in Montreal, Quebec, focused on advancing artificial intelligence (AI), data science, and operations research. Established as the Institute for Data Valorization, it connects over 1,400 researchers from leading academic institutions and nearly 170 industrial, academic, and government partners. The organization plays a significant role in Québec's AI ecosystem, emphasizing collaboration, responsible impacts, and accessibility to drive digital transformation.
The consortium's missions include expanding talent in digital intelligence, developing advanced knowledge and technologies, and promoting AI adoption across various sectors. IVADO offers collaborative AI research and development, talent training for data scientists, and knowledge transfer initiatives. IVADO Labs, a related entity, provides custom AI solutions and workforce training, focusing on industries such as manufacturing, aerospace, retail, and healthcare. With a commitment to fostering partnerships and supporting ambitious AI projects, IVADO enhances AI workforce capabilities and drives innovation.
Basic Information
| Industry | research |
|---|---|
| Founded | 2015 |
| Revenue | 11M |
| Headquarters | 950, avenue Beaumont, Suite 201, Montréal, QC H3P 3E2, Canada |
| Alexa Ranking | 671105 |
Contact Details
- Phone: +1 438-824-7244
- Website: ivado.ca
- LinkedIn: linkedin.com/company/ivado
Key Focus Areas & Initiatives
- Research services
- Data analysis
- Healthcare AI applications
- AI in finance
- AI ethical frameworks
- AI in customer experience
- Health AI
- Natural resources AI
- AI ethics and inclusion
- AI inclusive design
- AI research
- AI ethics
- Manufacturing process AI
- AI in predictive maintenance
- AI solutions
- Education
- Healthcare technology
- Artificial intelligence
- Transportation optimization AI
- AI in resource allocation
- Manufacturing AI
- AI for energy efficiency
- Supply chain AI solutions
- Financial technology
- AI for logistics automation
- Machine learning
- Responsible AI
- Data analytics
- AI in health
- Data science
- AI in urban planning
- Optimization models
- AI talent development
- Optimization techniques
- Big data
- Knowledge mobilization
- AI in disaster response
- AI in natural resources
- AI project management
- AI in smart cities
- AI for wildlife conservation
- AI for environmental monitoring
- AI for public safety
- Finance risk modeling AI
- AI in quality control
- Information technology and services
- AI collaboration
- B2B
- AI international collaboration
- AI in industry
- AI for decision-making
- Generative AI applications
- AI for climate change mitigation
- Big data analytics
- Cross-sectoral AI
- AI collaboration platforms
- AI in supply chain resilience
- Predictive analytics
- AI deployment
- AI for personalized medicine
- AI in society
- AI innovation
- AI for renewable energy
- AI for risk management
- AI in precision agriculture
- AI for societal challenges
- Supply chain optimization
- AI ethics in autonomous systems
- Business intelligence
- AI in public policy
- Transportation AI
- AI commercialization
- AI standards and regulations
- AI for society
- Consulting services
- AI workforce training
- AI training
- AI policy
- AI deployment strategies
- Government
- AI project development
- Inclusive AI
- Research and development in the physical, engineering, and life sciences
- AI research funding
- AI in supply chain
- AI community engagement
- AI in manufacturing
- Supply chain management
- AI training programs
- AI in healthcare
- AI in water management
- AI consulting services
- AI industry applications
- Information technology
- AI innovation hubs
- AI policy and governance
- Machine learning algorithms
- Finance AI
- AI partnership
- AI research centers
- AI for social good
- AI community
- Manufacturing
- AI in logistics
- AI in transportation
- Innovation
- Operational efficiency
- Research and development in artificial intelligence
- Industrial automation
- AI solution delivery
- AI industry partnerships
- Natural resource management AI
- AI knowledge transfer
- AI impact assessment
- Services
- Digital transformation
- Supply chain AI
- AI responsible development
- AI impact
- Interdisciplinary consortium
- AI for sustainable development
- Higher education
- Research consortium
- Digital intelligence
- Cross-sector collaboration
- Training programs
- Big data analysis
- AI applications
- Collaborative research
- Entrepreneurship support
- Online courses
- Scholarships and grants
- Community building
- Sustainable development
- Ethics in AI
- Explainability
- Academic partnerships
- Industry partnerships
- International collaborations
- Training initiatives
- Knowledge transfer
- Future leaders
- Research projects
- AI technologies
- Data-driven decision making
- Innovation ecosystem
- Interdisciplinary research
- AI education
- Funding opportunities
- AI for industry
- Talent development
- Academic excellence
- Collaboration platforms
- Network partnerships
- STEM careers
- Social impact
- AI leadership
- Industry standards
- Project funding
- Strategic initiatives
- Knowledge sharing
- Healthcare
- Finance
- Distribution
- Transportation logistics
- Energy utilities
- Information technology & services
- Finance technology
- Financial services
- Enterprise software
- Enterprises
- Computer software
- Analytics
- Management consulting
- Logistics & supply chain
- Mechanical or industrial engineering
- Education management
- Sustainability
- Environmental services
- Renewables & environment
- Health care
- Health, wellness & fitness
- Hospital & health care
Technologies Used
- AI
- Gmail
- Google Apps
- Google Tag Manager
- Gravity Forms
- Linkedin Marketing Solutions
- MailChimp SPF
- Mobile Friendly
- Nginx
- Outlook
- WordPress.org
- reCAPTCHA