Start-Up Challenge Bulgaria


Submission Deadline: Friday 20th Dec.

Co-Innovation Lab Partners:

SAS, the leader in Analytics, is looking for the most disruptive and innovative startups in Bulgaria to help them

  • The Idea: Identify the most interesting AI and Machine Learning Use cases; Let the winning Startups develop their innovative products on SAS Analytics Platform and help them to capitalize innovation.

SAS Bulgaria Startup Challenge is an open call competition to:

  • Scale Innovation with analytical expertise
    • Utilize open source along with SAS VIYA Analytics Platform for innovative AI/ML driven use cases
    • High-Speed Time to Value with multi-modal analytics development & deployment platform
  • Scale go to market with business advisory and sales support

The Startup Challenge Committee: is formed to support the identified Startups.

  • SAS : Analytics Partner
  • Ministry of Transport, Information Technology & Communications: Strategic Contributor/Partner
  • Deloitte: Business Consulting Partners
  • Vivacom: Technology Partner
  • Digital National Alliances: Media Partner

The Support Lifecycle will include the following steps (component flow):

  • Use Case Development:
    • Leverage on SAS expertise with dedicated data science support
  • Project Management & Operations: 
    • Support from partners
  • Infrastructure & Provisioning:
    • High-performance analytical processing infrastructure
  • Demo & Showcase:
    • Customer interaction support & environments
  • Path to Market & Scale:
    • Business advisory for GTM and sales support

Qualification Criteria

The startup idea should meet the following criteria:

  • The idea must leverage solid Advanced Analytics, Machine Learning & AI features.
  • It should be innovative, in the sense it should provide in an original idea, use case or application for specific business problem(s).
  • It can leverage both SAS Analytics & Open Source Analytics tools, to be deployed on SAS analytical platform for end to end execution.
  • It can include other 3rd party open source software components that are required for the solution to work.
  • The solution should address a sizeable market segment to be able to scale and have significant business potential, both in commercial and public business domains.
  • The solution should have a clear value proposition and justification for investing efforts, with minimum viable market research conducted.

This event is no longer available for registration.

How will your project using Artificial Intelligence and Machine Learning, add value to users?
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