**Washington, DC**: Seedless has unveiled a platform that generates fully synthetic datasets for enterprises to facilitate AI adoption while complying with privacy regulations. The startup aims to address data scarcity challenges, focusing on highly regulated sectors like finance and healthcare to enhance digital transformation efforts.
A new technology startup, Seedless, has launched a platform aimed at addressing a significant barrier to the adoption of artificial intelligence (AI) in enterprises: data scarcity. The Washington, DC-based company introduced a patent-pending method for generating fully synthetic, industry-specific datasets that aim to comply with privacy regulations while providing the realism needed for effective AI training and evaluation.
Josh Kreamer, the CEO of Seedless, spoke about the company’s mission, stating, “Our mission is to enable enterprises to safely adopt AI technologies by providing them with the data they need to train and evaluate models—without the privacy risks.” The startup’s new platform produces unstructured data that simulates complex business scenarios, designed to reflect real-world interactions and challenges faced by companies. This approach not only eliminates the risks associated with using sensitive information but also allows companies to overcome the bottleneck created by stringent privacy regulations.
AI adoption has been particularly slow in highly regulated sectors—such as finance, healthcare, and legal—where data usage is tightly controlled due to security concerns. Seedless targets these industries directly by offering custom datasets tailored to their specific needs. For example, in finance, Seedless can provide data for fraud detection and regulatory compliance, while in healthcare, it addresses requirements for clinical trials and privacy compliance.
According to Kreamer, Seedless allows organisations to “accelerate digital transformation while maintaining the highest standards of data security and compliance.” The platform’s agent-based simulation process ensures the generated data holds statistical validity and realism, giving businesses the ability to test and train AI tools in a more effective manner.
The leadership team of Seedless combines expertise in legal compliance and AI technology, with Kreamer previously serving as the Head of Legal Services at AstraZeneca and Shahrukh Tarapore, the CTO, having experience as a Senior Engineer at Lockheed Martin in AI and machine learning simulations.
The launch of Seedless comes at a crucial time as enterprises are increasingly looking to harness AI technologies but face ongoing challenges surrounding data availability and compliance. The introduction of this platform may open new avenues for AI innovation across industries that have traditionally been hindered by data privacy concerns.
Source: Noah Wire Services
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