Nom Nom Data Granted Revolutionary Self-Healing Data and AI Patent
AUSTIN, Texas — Nom Nom Data Inc., is a Data Intelligence Company, headquartered in Austin, Texas. ('Nom Nom' or the 'Company') founded by Chairman Niko Kontogiannis and CEO Nam Nguyen, is a pioneer in AI preprocessing, Data Labelling and Data Engineering as a Service, today announced it was granted a revolutionary self-healing Data and AI Patent from the United States Patent and Trademark Office (USPTO) on May 13, 2025.
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U.S. Patent No. 12,298,995 was created by Nom Nom to innovate fixing errors and performance issues in ETL-related data processes, utilizing Natural Language Processing and Generative AI.
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Our Patent process involves feeding task configurations and executions using natural language processing to automatically resolve and fix task configurations and SQL or Python code, using Generative AI.
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This groundbreaking self-healing Data innovation is a game changer for AI companies like xAI, OpenAI and Anthropic, Cloud Service providers like Amazon's AWS, Microsoft's Azure, Google's Google Cloud, Oracle's Oracle Cloud and Snowflake, and Data Management and Infrastructure companies like DataBricks, Scale AI, Dell and Nvidia, to name a few industry leaders in the areas of expertise. Our Data innovation revolutionizes how these companies will compute and process Data, utilizing Nom Nom's patented technology, making Data bulletproof, self-healing and optimized with AI.
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Nom Nom Chairman and Co-founder Niko Kontogiannis says, 'We look forward to utilizing our IP and creating strategic licensing partnerships with the industry leading companies, to accelerate the rapid adoption of our revolutionary self-healing Data and AI technology.'
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Reliable, trusted and structured Data is the fuel and energy source that allows AI to perform with exceptional precision, Nom Nom is at the forefront of this Data and AI movement.
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With Databricks recent announcement to acquire Neon, OpenAI acquiring Windsurf, and Apple partnering with Amazon backed Anthropic to launch an AI-assisted coding platform, it validates the rise and desire of AI-native integrated development environments (IDE) and who will secure a dominant position in the emerging agentic AI world.
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'Vibe coding' refers to a programming method where AI agents generate code, it's gaining viral adoption in the AI landscape. Nom Nom's revolutionary self-healing Data and AI Patented technology, will not only accelerate this agentic AI movement, it will exponentially improve how the data is processed and utilized with natural language processing and Generative AI.
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As published by TechCrunch, during a fireside chat with Meta CEO Mark Zuckerberg at Meta's LlamaCon conference, Microsoft CEO Satya Nadella said that 20% to 30% of code is now written by AI. Microsoft CTO Kevin Scott previously said he expects 95% of all code to be AI generated by 2030. It was also reported during Google's recent earnings call, CEO Sundar Pichai said AI was generating more than 30% of Google's code.
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Nom Nom CEO and Co-founder Nam Nguyen says, 'How we utilize Data with our innovative AI patented technology, is now helping to define the battle for who will become the primary interface for automated management of any processes involving Data and AI. This allows whoever leverages our patented self-healing Data and AI technology to take a dominant position for a future shaped by an AI agentic world.
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'We are excited about our upcoming and future partnerships and collaborating with all these innovative companies.'
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Nom Nom is a data intelligence company, we are pioneers in AI preprocessing, data labeling and data engineering as a service. We manage data and power AI for small and medium-sized enterprises to the leading Fortune 500 companies. We are a trusted data foundry, our data engine generates all the necessary data to fuel all the leading LLMs. Our innovative audit logging technology, provides detailed data access tracking and modifications, ensuring transparency and compliance with regulatory requirements. Our data disposition protocols are meticulously designed to identify and manage data efficiently, allowing for secure disposal or archiving as needed.
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