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Iddo Gino’s Datawizz Raises Seed Funding to Advance SLMs

Datawizz has introduced a paradigm shift in AI by focusing on specialized models tailored to specific tasks, as opposed to the one-size-fits-all approach of traditional LLMs

Jung-hee by Jung-hee
October 1, 2025
Home Artificial Intelligence
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San Francisco-based startup Datawizz, founded by Iddo Gino, has secured $12.5 million in seed funding to reshape the artificial intelligence landscape by expanding its Specialized Language Models (SLMs).

The round was led by Human Capital, with participation from BGV, 91VC, and other investors. This strategic investment aims to accelerate the development of Datawizz’s innovative platform that replaces large general-purpose language models (LLMs) with specialized language models (SLMs), offering a more efficient and cost-effective solution for enterprises.

Traditional large language models (LLMs) often come with high costs, slow response times, and inconsistent outputs, making them less suitable for specific business applications. Datawizz’s solution, Specialized Language Models (SLMs), offers a more efficient and tailored approach, aligning AI capabilities with the unique needs of businesses.

The Rise of Specialized Language Models

Datawizz has introduced a paradigm shift in AI by focusing on specialized models tailored to specific tasks, as opposed to the one-size-fits-all approach of traditional LLMs. These SLMs are significantly smaller, approximately 1,000 times less resource-intensive, yet deliver faster, more accurate, and cost-effective results. By routing queries to the most relevant specialized model, Datawizz ensures optimal performance and efficiency.

The company’s platform enables organizations to deploy lightweight, specialized models that are trained on their proprietary data, ensuring faster and more accurate responses. This approach not only reduces operational costs but also enhances the reliability of AI-driven processes. By focusing on specialization over generalization, Datawizz offers a scalable solution that can be seamlessly integrated into existing enterprise systems.

The $12.5 million in seed funding will be allocated towards accelerating product development, expanding the team, and facilitating market entry across the US and Europe. Additionally, Datawizz plans to establish research and development operations in Israel, leveraging the country’s tech talent pool.

A Vision for the Future

Looking ahead, Datawizz projects that by 2030, approximately 70 percent of AI traffic will be managed by specialized models with fewer than 5 billion parameters. The company anticipates handling more than 50 percent of this traffic through its platform, positioning itself as a pivotal player in the AI landscape.

Datawizz’s innovative approach to AI, focusing on specialized models tailored to specific tasks, offers a promising alternative to the current reliance on large, general-purpose models. With its efficient, economical, and reliable AI solutions, Datawizz is poised to make a significant impact on the AI industry.

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Tags: AI fundingArtificial IntelligenceTech StartupTechnologyUS startup
Jung-hee

Jung-hee

Jung-hee is a highly regarded Korean journalist specializing in global startups, focusing on American startups and Korean founders launching their ventures in the United States. Having cultivated her expertise over the years, Jung-hee has gained a deep understanding of the startup ecosystem in both Korea and the United States. Her fluency in English and Korean allows her to bridge the gap between these two vibrant startup scenes, providing a valuable perspective for her readers. She can unearth breaking stories and deliver exclusive news reports for USTechTimes. Jung-hee’s passion for startups and entrepreneurship is evident in her comprehensive coverage of the latest trends, innovations, and success stories emerging from the global startup landscape. With an unwavering commitment to excellence in journalism, Jung-hee continues to shed light on the stories that matter most and shape the conversation around the future of innovation.

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