nexos.ai emerges from stealth with funding led by Index Ventures & Creandum

AI applications at scale are expensive, so AI adoption is stalling. A Lithuanian start-up that has just emerged from stealth promises a solution.

Nexos.ai's founders call it an AI infrastructure company. The platform provides access to over 200 AI models, including OpenAI, Anthropic, Google, and Meta.

It announced it had emerged from stealth mode with funding of $8 million from Creandum and Dig Ventures.

The company was established in 2024 by Tomas Okmanas and Eimantas Sabaliauskas, the co-founders of Nord Security, Oxylabs, and Hostinger, among others.

“The idea for nexos.ai emerged from Okmanas’ firsthand experience, where he struggled to integrate AI across several companies he was involved with – despite spending over $100k per month on large language model (LLM) usage in some cases,” the press release reads.

He soon learned that many businesses that want to deploy AI struggle because they lack the infrastructure to do it at scale.

The platform, which will launch in Q1 2025, key capabilities are said to be:

• Smart model routing and load balancing to optimize performance and costs

• Intelligent caching that can significantly reduce costs for repeated queries

• Comprehensive monitoring and analytics for AI operations

• Enterprise-grade security and compliance controls

• Automated performance optimization across model providers

According to the press announcement, “several major international companies” are already testing the platform. However, the company didn’t disclose what it might cost businesses to access over 200 AI models via the platform.

Companies know that AI is an operational and competitive necessity, but they’re drowningin the challenges of managing multiple models, controlling costs, and ensuring accurate and reliable performance,

Okmanas said.

How much do companies spend on AI?

As per S&P Technology Industry Credit Outlook 2025, AI spending is indeed robust today. However, experts warn AI investment might be volatile in the long term as “AI-related revenue growth fails to meet expectations.”

AI spending is expected to surge to $630 billion by 2028, with Financial services, software and information services, and retail accounting for 45% of anticipated investment in AI.

“Fast-growing use cases include claims processing, digital commerce, sales planning, smart factory floor, and product design,” the report noted.

Tech leaders’ comments also boost robust investment. For example, Google’s CEO Sundar Pichai said that the risk of underinvesting is greater than that of overinvesting.

“The clearest beneficiaries of AI investment spending at this point are the semiconductor makers,” the report said, singling out Nvidia and Taiwan Semiconductor Manufacturing Corp (TSMC).

Software companies, however, are the furthest behind in monetization as they are still experimenting with revenue models, either charging subscription fees for AI models or infusing AI into existing products.

Companies are poised to spend over $230 billion in 2024 on AI, with the big tech companies being the biggest drivers of it.

However, S&P experts also talk about the potential for an “AI winter if the current level of enthusiasm proves to be oversold.”