Making AI Accessible For Everyone
AI is transforming the world but AI development remains to be a major challenge
Very Costly
In the year 2021, a total of 342 billion dollars were spent on the development of AI
High failure rate
The ground reality is that more than 85% of the AI projects fail to drive business impact
Time Consuming
Building state of art AI models comes with a great combination of quality team, time and data.
Plug and play AI to drive impact with the world's first community AI marketplace
1
Seller
The sellers are industry data scientists from our global community who use their expertise to build AI models for the marketplace.
2
AI Marketplace
AI Marketplace connects buyers and sellers. It also takes care of production readiness and scalability, ensuring anyone can access them with simple API endpoints
3
Buyer
Anyone (developer, company or an enterprise) can try a machine learning model and purchase it from the marketplace to integrate AI within their software products
Building AI for the world driven by Global Data Science Community
Healthcare
Education
FinTech
E-commerce
Gaming
Supply Chain & Logistics
Healthcare
Education
FinTech
E-commerce
Gaming
Supply Chain & Logistics
FAQ
AI Marketplace is driven by one of the largest data science community – AI Planet, formerly DPhi. The sellers on AI Marketplace are some of the finest vetted industry data scientists who utilize their expertise to build AI models for the marketplace.
Anyone – ranging from a company to a developer or student can come to AI Marketplace and purchase AI models that allow them to plug and play AI in their products/projects.
Thank you for your interest. We constantly look for finest data scientists who can solve business and social problems that can impact the world. Please drop us a line at community@dphi.tech for the next steps.
AI models on AI Marketplace are provided in the form of end points APIs, making it easy for developers to plug and play AI into their software products seamlessly. More details and documentation on complete implementation will be shared upon our product release.
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