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Nord Security founders launch Nexos.ai to help enterprises take AI projects from pilot to production | TechCrunch

Jan 17, 2025 - techcrunch.com
Nexos.ai, a new AI orchestration startup founded by Tomas Okmanas and Eimantas Sabaliauskas of Nord Security fame, aims to help enterprises deploy AI projects into production with a focus on visibility, security, and adaptability for large language models (LLMs). The company has exited stealth with $8 million in funding from investors like Index Ventures, Creandum, and notable angel investors. Nexos.ai addresses the challenges enterprises face in AI deployment, such as high availability, cost management, and security, by offering a platform that allows seamless switching between AI models and intelligent caching to reduce costs. It also provides security measures to prevent sensitive data from being sent to LLM providers and plans to offer self-hosting options in the future.

The startup's rapid development and funding success are attributed to the founders' reputation and the organizational support from Tesonet, which enabled the quick assembly of a skilled team. Nexos.ai's platform, set to launch by the end of March, is already being tested by beta customers and design partners. The company aims to capitalize on the growing need for AI infrastructure as enterprises increasingly adopt AI at scale, moving beyond the initial hype to real-world applications.

Key takeaways:

  • Nexos.ai is a new AI orchestration startup founded by Tomas Okmanas and Eimantas Sabaliauskas, focusing on bringing visibility, security, and adaptability to AI projects, especially large language models (LLMs).
  • The startup has secured $8 million in funding from high-profile investors, including Index Ventures, Creandum, and notable angel investors.
  • Nexos.ai aims to simplify the deployment, management, and optimization of AI models for enterprises, offering solutions like intelligent caching and seamless switching between AI providers.
  • The company plans to address data security concerns by potentially offering self-hosting options and integrating with companies' internal LLMs, while ensuring sensitive data is handled securely.
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