AI-driven firm 'Data Science Wizards' lifts $1.4 million in Seed Funding
In a seed round headed by an angel investor, Data Science Wizards has raised $1.4 million at a valuation of $16.4 million.
According to a recent news release, the cash will be used to expand and improve UnifyAI, their deep-tech AI platform, as well as to bolster their workforce.
Data Science Wizards (DSW), founded in 2019 by Pritesh Surendra Tiwari, Ramesh Khare, Sandeep Khuperkar, and Shivam Thakkar, seeks to revolutionize industries with cutting-edge, custom AI solutions. The company's primary goal is to empower organizations to drive digital transformation and accelerate AI adoption by providing them with measurable outcomes and speedy deployment.
DSW is about to introduce insurAInce, a solution created especially for the insurance industry that uses UnifyAI to promote AI-driven change. This solution improves risk management, operational efficiency, and creativity by utilizing pre-learned models and specific tools to address the particular difficulties faced by the insurance sector.
The Mumbai-based startup also intends to launch industry-specific UnifyAI-based solutions for banking, telecom, retail, and manufacturing, with the goal of transforming these sectors' use of AI and facilitating the move from trial to mass production.
Sandeep Khuperkar, CEO and Founder, Data Science Wizards says, “UnifyAI is a game-changer for enterprises looking to fast-track AI adoption’. Our platform takes AI/ML and GenAI use cases from concept to production with confidence, predictability, and scale. Businesses are experiencing up to 60% reductions in development costs and 60-80% faster production timelines, transforming months of effort into just 3-4 weeks.”
Similarly, Ritesh Rathod – Chief Strategy and Data Officer, Canara HSBC Life Insurance, “Similarly, “UnifyAI has truly transformed the GTM at Canara HSBC Life Insurance with respect to creation and deployment of analytical models. With DSW building insurance-specific solutions on top of this robust AI platform, we’ve been able to move use cases into production quickly and with built-in CI/CD capabilities we are able to maintain efficiency and adaptability in our operations”.
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According to a recent news release, the cash will be used to expand and improve UnifyAI, their deep-tech AI platform, as well as to bolster their workforce.
Data Science Wizards (DSW), founded in 2019 by Pritesh Surendra Tiwari, Ramesh Khare, Sandeep Khuperkar, and Shivam Thakkar, seeks to revolutionize industries with cutting-edge, custom AI solutions. The company's primary goal is to empower organizations to drive digital transformation and accelerate AI adoption by providing them with measurable outcomes and speedy deployment.
DSW is about to introduce insurAInce, a solution created especially for the insurance industry that uses UnifyAI to promote AI-driven change. This solution improves risk management, operational efficiency, and creativity by utilizing pre-learned models and specific tools to address the particular difficulties faced by the insurance sector.
The Mumbai-based startup also intends to launch industry-specific UnifyAI-based solutions for banking, telecom, retail, and manufacturing, with the goal of transforming these sectors' use of AI and facilitating the move from trial to mass production.
Sandeep Khuperkar, CEO and Founder, Data Science Wizards says, “UnifyAI is a game-changer for enterprises looking to fast-track AI adoption’. Our platform takes AI/ML and GenAI use cases from concept to production with confidence, predictability, and scale. Businesses are experiencing up to 60% reductions in development costs and 60-80% faster production timelines, transforming months of effort into just 3-4 weeks.”
Similarly, Ritesh Rathod – Chief Strategy and Data Officer, Canara HSBC Life Insurance, “Similarly, “UnifyAI has truly transformed the GTM at Canara HSBC Life Insurance with respect to creation and deployment of analytical models. With DSW building insurance-specific solutions on top of this robust AI platform, we’ve been able to move use cases into production quickly and with built-in CI/CD capabilities we are able to maintain efficiency and adaptability in our operations”.
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