A new startup, nexos.ai, is emerging as a pivotal player in the artificial intelligence field, offering a comprehensive platform that integrates models from major AI providers like Meta, OpenAI, and Anthropic. With a funding boost of $8 million, nexos.ai is poised to reshape how businesses manage and deploy AI across their organizations.
Short Summary:
- nexos.ai secures $8 million funding to enhance AI integration for enterprises.
- Designed by industry veterans with experience from successful startups, nexos.ai aims to simplify AI model management.
- The platform boasts advanced features for optimizing costs, improving performance, and ensuring security.
VILNIUS, Lithuania – In a significant advancement in the AI landscape, nexos.ai has emerged from stealth mode, announcing a robust funding round of $8 million, predominantly led by Index Ventures, with Creandum and Dig Ventures also contributing. Founded by Tomas Okmanas and Eimantas Sabaliauskas, who previously co-founded the successful Nord Security, valued at $3 billion, nexos.ai aims to address the intricate challenges businesses face in integrating AI into their operations.
As organizations increasingly seek to harness AI’s capabilities, they often encounter complexities in managing multiple models and maintaining cost efficiency. Okmanas, reflecting on the inception of nexos.ai, emphasized that many businesses are eager to deploy AI but struggle with the necessary infrastructure. “
Companies know that AI is an operational and competitive necessity, but they’re drowning in the challenges of managing multiple models, controlling costs and ensuring accurate and reliable performance,”
said the CEO. His insights stem from personal experience, highlighting the industry-wide need for a solution that simplifies AI model management, particularly given his extensive expenditure on large language models.
The nexos.ai platform, scheduled to launch in Q1 2025, is already in use by several major corporations for applications like automated customer support. It offers access to over 200 AI models from leading suppliers including OpenAI, Anthropic, Google, and Meta. Key functionalities of the platform include:
- Smart model routing and load balancing: Optimizes performance and manages costs effectively.
- Intelligent caching: Reduces expenses for recurrent queries significantly.
- Comprehensive monitoring and analytics: Ensures efficient AI operations.
- Enterprise-grade security: Provides robust compliance controls.
- Automated performance optimization: Enhances model delivery across various providers.
Hannah Seal, a partner at Index Ventures, described nexos.ai as essential for enterprises aiming to deploy AI at scale, noting that the demand for such solutions will grow exponentially. “
The demand for such solutions is expected to grow exponentially in the coming months and years,”
she remarked, elaborating on the importance of managing the multifaceted ecosystem encompassing large language models and autonomous AI agents.
The startup’s genesis can also be traced to the Lithuanian tech accelerator Tesonet. nexos.ai’s inception reflects the growing recognition within the tech industry that without solid infrastructure, many businesses will be unable to fully realize the potential of AI. Okmanas, alongside Sabaliauskas, is well-positioned to guide this venture, given their backgrounds in successful bootstrapped startups.
Meanwhile, the AI landscape continues to evolve with deepening complexities. On the frontier, Anthropic, a foundational AI model provider, has proposed the Model Context Protocol (MCP). Introduced in late 2024, the MCP presents a universal, open standard for connecting AI systems with data sources. It aims to streamline the integration process for developers managing AI applications.
According to industry analyst Mark Beccue from the Enterprise Strategy Group, although the introduction of a standard can provide directional benefits, successful implementation requires collaboration among various vendors. This is crucial, he argues, as established standards typically emerge from community consensus rather than being dictated by a single entity. Beccue suggests that if MCP were to gain traction, it would benefit from wider industry adoption and discussion among key players.
Despite some skepticism, the value of the MCP for developers is clear. Sean Ren, an associate professor specializing in computer science, stated, “
[Anthropic] allows you to follow the protocol to connect various resources into the large models and apply tools on top of them to achieve application,”
emphasizing its potential to facilitate simplified AI operations.
A critical consideration remains regarding how Anthropic will address user data privacy and security with the MCP. As organizations increasingly connect their sensitive data to AI applications, the parameters and safeguards around data usage become paramount. Companies will need to navigate these waters cautiously, especially while using protocols that can potentially expose their data to third-party AI models.
Further broadening the AI narrative, MongoDB has initiated its AI Applications Program (MAAP) designed to assist enterprises in effortlessly integrating generative AI. This program aims to offer strategic planning, industry insights, and a unified technological framework to accelerate the deployment of AI applications.
Alan Chhabra, EVP of Worldwide Partners at MongoDB, remarked, “
These organizations leverage MongoDB’s cutting-edge technology and comprehensive services to transform innovative concepts into real-world applications,”
detailing the necessity of AI in keeping pace with customer demands.
With industry giants including Google and Amazon actively refining their AI offerings, the landscape is rife with competition and innovation. For instance, as part of the MAAP roll-out, MongoDB collaborates with a consortium of AI-oriented powers including Anthropic, Microsoft Azure, and AWS. Together, they aim to provide clients with essential resources for swift and effective business applications in generative AI.
The relationship between ERP systems and AI is of particular interest. AI integration into ERP software is not merely about enhancing functionalities; it revolutionizes organizational efficiencies. The rise of AI in ERP systems entails more than buzzwords; it transforms core operations through predictive analytics, machine learning, and automation.
As we navigate through 2025, ERP solutions fortified with AI capabilities are projected to occupy a significant niche within the enterprise market. The verdict is clear — businesses set to adopt AI-enhanced ERP tools will likely see substantial improvements in operations, subsequently gaining competitive advantages.
Given the trajectory of technological evolution, the successful deployment of AI across sectors, especially in ERP, signifies a profound shift in enterprise strategy moving for years to come.
For further immersion into how AI is reshaping writing technologies and their implications for the future, check out our resources on Artificial Intelligence for Writing.
As nexos.ai prepares for its market debut, it embodies the future of AI technologies and exemplifies how strategic advancements in the area can ultimately empower businesses to unleash their potential.