
Sparkflows is an enterprise-grade self-service data science, machine learning, and AI platform that empowers businesses to unlock transformative value from their data assets. Founded in 2016, it offers a unified platform with over 60 pre-packaged AI and generative AI analytic applications tailored for various industry verticals including Retail/CPG, Telecommunications, Insurance, Energy, and Banking & Finance. The platform enables rapid AI solution development with low-code/no-code tools, seamless cloud integration, and unlimited scalability, facilitating collaboration among data scientists, engineers, and business users. Sparkflows has demonstrated significant business impact with clients such as a multinational CPG company achieving 5X new revenue opportunities, 20X reduction in time to market, and 15X higher model accuracy, positioning it as a cost-effective leader in enterprise data science and AI solutions.

Sparkflows is an enterprise-grade self-service data science, machine learning, and AI platform that empowers businesses to unlock transformative value from their data assets. Founded in 2016, it offers a unified platform with over 60 pre-packaged AI and generative AI analytic applications tailored for various industry verticals including Retail/CPG, Telecommunications, Insurance, Energy, and Banking & Finance. The platform enables rapid AI solution development with low-code/no-code tools, seamless cloud integration, and unlimited scalability, facilitating collaboration among data scientists, engineers, and business users. Sparkflows has demonstrated significant business impact with clients such as a multinational CPG company achieving 5X new revenue opportunities, 20X reduction in time to market, and 15X higher model accuracy, positioning it as a cost-effective leader in enterprise data science and AI solutions.
What they do: Enterprise self-service data science, ML, and AI platform with pre-packaged analytic applications
Founded: 2016
Size: ~30 employees
Funding signal: Non-equity assistance support; partners include Alchemist Accelerator and HPE Digital Catalyst Program
Enterprise data science and machine learning enablement; accelerating development and deployment of AI-driven analytics and data products.
2016
Enterprise software / AI & machine learning
Disclosed as a most recent financing event on July 6, 2022
Participation announced April 15, 2017
“Supported by accelerator and corporate programs (Alchemist Accelerator; HPE Digital Catalyst Program)”