nexos.ai

nexos.ai

AI model gateway optimizing LLM costs

Overview

Nexos.ai runs a model gateway that helps businesses optimize AI operations by automatically choosing the most cost-effective LLMs for each task and keeping systems reliable with automatic fallbacks that reroute prompts during downtimes or rate limits. It gives access to 200 AI models from major providers through a single API, and lets teams switch between models and providers to balance quality, speed, and cost. The platform is designed to scale with growing data and usage, with a focus on security and compliance. Its goal is to help developers and data teams build and integrate AI applications more efficiently and at predictable costs, using subscription or usage-based pricing.

Significant Headcount Growth

About nexos.ai

Simplify's Rating
Why nexos.ai is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

AI & Machine Learning

Company Size

51-200

Company Stage

Series A

Total Funding

$41M

Headquarters

Vilnius, Lithuania

Founded

2024

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Simplify's Take

What believers are saying

  • Nexos.ai updated its site on 2026-08-28 and still advertises 12 open roles.
  • Customer Engineer hiring posted 2026-08-28 signals active enterprise onboarding.
  • Partner program launched 2026-03-26, opening reseller and technology channels.

What critics are saying

  • OpenRouter raised $113M on 2026-05-26, funding a larger 400-model routing competitor.
  • Databricks Unity AI Gateway reached GA on 2026-08-04, bundling governance into cloud estates.
  • If OpenAI, Anthropic, or Microsoft bundle gateway controls, Nexos.ai becomes redundant by 2027.

What makes nexos.ai unique

  • Nord Security founders Tomas Okmanas and Eimantas Sabaliauskas built Nexos.ai in 2024.
  • Workspace and Gateway combine employee chat, developer routing, observability, and policy controls.
  • Nord Security cut coding-agent LLM costs 46%; Payhawk cut security investigations 80%.

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Funding

Total Funding

$41M

Above

Industry Average

Funded Over

2 Rounds

Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$30M
Kalshi
$33M
nexos.ai

Benefits

Wellness Program

Flexible Work Hours

Unlimited Paid Time Off

Paid Vacation

Paid Holidays

Hybrid Work Options

Remote Work Options

Professional Growth

Conference Attendance Budget

Training Programs

Tuition Reimbursement

Professional Certification Support

Mentorship Program

Health Insurance

Dental Insurance

Vision Insurance

Meal Benefits

Phone/Internet Stipend

Home Office Stipend

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

37%

1 year growth

37%

2 year growth

20%
AI.cc
Aug 15th, 2026
2026 will be the year of agentic AI interns in the workplace.

2026 will be the year of agentic AI interns in the workplace. 2026-08-15 by AICC After several years of experimentation, enterprise AI is moving out of the pilot phase. To date, many organisations limit AI to general-purpose chatbots, often created by small groups of early adopters. According to Nexos.ai, that model will give way to something more operational: fleets of task-specific AI agents embedded directly into business workflows. Even isolated agents are in common use, screening CVs, reviewing contracts, drafting routine correspondence, preparing management reports and orchestrating actions in enterprise systems. Analysis from the company suggests organisations that move from single chatbots to multiple role-specific agents see materially higher adoption and claim a clearer business impact. Teams interact with agents that can behave like junior colleagues, where each agent is accountable for a defined slice of work. Every team gets its own named agent. The company's studies envisage the normalisation of named AI agents assigned on a per team basis, which it describes as an "AI intern". These are not general-purpose assistants, but dedicated tools for specific operational processes. For example, HR teams might deploy agents tuned to recruitment criteria, or legal teams using agents configured to flag contract standard violations. Sales teams will rely on agents optimised for their sales pipelines and integrated with an existing CRM. In each case, Nexos says the business value comes from contextual awareness and integration with existing software and data, rather than from advances in the raw power of the model. Early enterprise deployments suggest the gains can be significant. Payhawk, for example, reports that its deployment of Nexos.ai's agentic platform in finance, customer support, and operations reduced the necessary security investigation time by 80%. The company achieved 98% data accuracy and cut its processing costs by 75%. Žilvinas Girėnas, head of product at Nexos.ai, says the real benefit stems from coordination. "The shift from single-purpose agents to coordinated AI teams is fundamental. Businesses are building groups of specialised agents that work together in a workflow. That's when AI stops being a pilot and starts becoming infrastructure." Platform consolidation becomes unavoidable. As the number of active agents in organisations rises, a second-order problem - fragmentation - appears. Teams running five to ten agents in different tools face duplicate costs and inconsistency in security controls. From the perspective of IT governance, this situation can become unsustainable. Evidence from early Nexos adopters suggests consolidating agents on an enterprise-wide shared platform delivers faster deployment - in some cases twice as fast - and gives better oversight over spend and performance. Girėnas says: "When teams are juggling multiple vendors and logins, usage drops. A single platform is what allows organisations to extract consistent value rather than paying for shelfware." The situation points to a pattern familiar to enterprise technology veterans: AI agent systems follow the same trajectory of consolidation seen in collaboration, security, and analytics stacks. AI operations shift to the business. The company's findings suggest that the ownership of AI operations is moving from engineering teams towards business leaders and discrete business functions. The function-specific deployment model means heads of HR, legal, finance, and sales will be expected to configure their own agents, a task that includes prompt management. Thus, the ability to manage agents will become a core operational competency for individuals and business functions. This places new requirements on agentic platforms, with the need for interfaces that are approachable by non-technical users, with the stack operating with minimal reliance on APIs or developer-style tooling. Team leads will need to be able to adjust instructions, test outputs from their adopted systems and find ways to scale successful configurations. Engineering support will be reserved for isolated problem-solving. Demand will outstrip delivery capacity. Nexos.ai's final prediction is the appearance of a capacity challenge. It says that once teams can deploy their first few agents successfully, demand for similar systems will accelerate in the organisation. Marketing departments may look for workflow automation, finance pros will want compliance-checking agents, and customer success teams will explore the effects of support triage: Each department, seeing proven value elsewhere, will expect similar abilities and efficiencies. Industry projections suggest that by the end of 2026, around 40% of enterprise software applications will incorporate task-specific AI agents, up from under 5% in 2024. Engineering capacity is unlikely to keep pace if every agent is built from scratch - thus the call for centralised capability. "The organisations that cope best will be those with agent libraries rather than bespoke builds," Girėnas says. "Templates, playbooks, and pre-built agents are the only way to meet rising demand without overwhelming delivery teams." (Image source: "Office Assistant" by LornaJane.net is licensed under CC BY-ND 2.0.) Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and co-located with other leading technology events. Click here for more information. AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.

O Estado de S. Paulo
Mar 22nd, 2026
Nubank founder's fund leads $800K round in Inteli-born fintech IKKB

IKKB, a global accounts startup founded by students at Instituto de Tecnologia e Liderança (Inteli), has raised R$4.2 million ($800,000) in funding led by Caravela Capital and Latitud Ventures, the investment firm created by Nubank's David Vélez. The startup offers global accounts enabling businesses and individuals to access financial products worldwide. A Brazilian company can open both a real account in Brazil and a dollar account in the US, making transfers between them. Co-founder Rafael Katalan says the differentiator is offering currency flexibility. Katalan and co-founder Henrique Schilder are part of Inteli's first graduating class in 2025. Four of IKKB's seven team members came from the technology-focused institution. The company plans to use the funding for expansion, including issuing US cards and obtaining licences for operations in euros and pounds.

Verslo žinios
Oct 24th, 2025
Nexos.ai Secures $8M in Funding

Nexos.ai, a Lithuanian AI startup founded at the end of last year, secured its first $8 million in venture capital funding in January. By the end of the year, it attracted a significantly larger capital injection in its Series A round.

VentureBurn
Oct 21st, 2025
Nexos.ai Raises €30M to Secure Enterprise AI Adoption Across Europe and North America

Nexos.ai raises €30M to secure enterprise AI adoption across Europe and north america. * Nexos.ai closes €30 million Series A, co-led by Index Ventures and Evantic Capital, at a €300M valuation. * Funding will accelerate product development, private model support, and expansion in regulated industries. * Platform acts as a "Switzerland for LLMs", keeping corporate data secure while enabling AI productivity. European AI startup Nexos.ai secures major Series A. Nexos.ai, a rising European AI startup, has raised €30 million (approximately $35M) in a Series A funding round, co-led by Index Ventures and Evantic Capital. The round also included participation from previous investors Creandum and Dig Ventures, as well as angel investors including the CEOs of Datadog, Klarna, Supercell, and Wix. This follows Nexos.ai's recent emergence from stealth after an $8 million seed round led by Index Ventures. Placing company valuation at €300 million (~$350 million), the new funding shows growing investor confidence in enterprise-focused AI solutions that address both productivity and data security. A neutral intermediary for AI adoption. A double-edged sword is what AI adoption represents, for on the other side of the allure of skyrocketed productivity, there loom grave security and governance risks. This is especially true for enterprises, as employees have to upload sensitive information. Co-founder Tomas Okmanas, formerly of Nord Security, describes the problem as "the biggest corporate data leak in the making." Rather than banning AI, Nexos.ai positions itself as a neutral intermediary, or "Switzerland for LLMs," that sits between employees and AI systems. This approach allows companies to leverage AI tools safely, keeping sensitive corporate data under control without compromising on efficiency. How Nexos.ai works. The platform consists of two core components: the Workspace and the Gateway. The AI Workspace is a user-friendly interface for employees to interact with AI tools securely. The AI Gateway control layer is for developers and handles security, cost management, and compliance oversight. The AI Gateway also tackles fragmentation, providing a single access point to over 200 AI models. The Series A capital is set to accelerate support for private AI models capable of handling sensitive data. It will achieve this by ensuring compliance for regulated industries and enterprises with strict governance policies. Okmanas notes that Nexos.ai conducts 50 to 60 demo calls per week and initially focuses on tech-savvy companies already using AI, as well as organisations in regulated sectors concerned about governance and cross-border data risks. Founders with proven track records. Nexos.ai was founded by Tomas Okmanas and Eimantas Sabaliauskas, the Lithuanian entrepreneurs behind Nord Security, the $3 billion cybersecurity company behind NordVPN. The duo bootstrapped their previous ventures, but this time opted for venture capital support to accelerate growth. Evantic Capital, founded by former Sequoia partner Matt Miller, co-led the round, leveraging its "Legends" network of 140 operators who advise portfolio companies. Both Okmanas and Sabaliauskas are using this network to refine product development and scale operations effectively. Early customers and market validation. The concept of a secure intermediary for AI emerged from the founders' oversight of Tesonet, their startup incubator and investment firm. Tesonet portfolio companies are among Nexos.ai's first clients, alongside Payhawk, a Bulgarian fintech unicorn with an office in Vilnius. The platform has already shown measurable value. At Hostinger, a Tesonet portfolio company, an AI assistant reduced the need for human support, saving €10 million in one year alone by avoiding the hiring of additional staff. While Nexos.ai has not disclosed its own revenue, Okmanas projects that the team will grow to 100 employees by the company's first anniversary, primarily in Europe, reflecting demand driven by data sovereignty concerns and enterprise adoption. Scaling across Europe and north america. * Expansion into regulated industries and public institutions concerned with AI governance and data privacy. * Acceleration of private AI model support, enabling secure use of sensitive corporate data. * Product development and platform enhancements, including AI Workspace and AI Gateway features. Okmanas emphasises that the company's mission is to remove barriers to enterprise AI adoption. This provides organisations with the tools to leverage AI safely and effectively. "Boards may debate whether AI delivers value, but within Tesonet's portfolio, the benefits are clear. Nexos.ai makes secure AI adoption possible without sacrificing control or productivity," he said. Why Nexos.ai matters. * Keeping sensitive data on-premise while enabling AI use. * Centralising control. The AI Gateway manages access, compliance, and costs across models. * Supporting private AI models for regulated industries and enterprises. * Reducing manual work and enhancing efficiency without additional hires. * Leveraging growing interest in data sovereignty and AI governance policies across Europe. Nexos.ai addresses one of the largest barriers to enterprise AI adoption. It does this by positioning itself as a critical player in the rapidly evolving AI landscape. To stay updated on crypto venture capital funding and market trends, visit its venture capital news section for more insights. Clinton Nwachukwu is a crypto and finance writer with an MBA in Artificial Intelligence and 6+ years of experience creating content for leading global brands. He turns complex topics into clear, actionable insights for readers worldwide. VentureBurn is a media platform covering the latest in cryptocurrency, artificial intelligence, venture capital, and the startup ecosystem. Opinions expressed on VentureBurn are for informational purposes only and do not constitute investment advice. Before making any high-risk investments in digital assets or emerging technologies, readers should conduct their own due diligence. All transactions and financial decisions are made at your own risk, and any losses incurred are solely your responsibility. VentureBurn does not endorse or recommend the buying or selling of any digital assets and is not a licensed investment advisor. Please note that VentureBurn may participate in affiliate marketing programs.

Dataconomy Media GmbH
Oct 21st, 2025
Nexos.ai scores €30 million to help companies adopt AI safely

Nexos.ai scores €30 million to help companies adopt AI safely. Nexos.ai positions itself as a neutral intermediary - "Switzerland for LLMs" - to keep corporate data safe while employees use AI tools. Nexos.ai, a startup from Nord Security co-founders Tomas Okmanas and Eimantas Sabaliauskas, has raised a €30 million Series A. The round, co-led by Index Ventures and Evantic Capital, is aimed at helping enterprises securely adopt AI tools. The funding round, equivalent to approximately $35 million, was finalized in early 2024 and places the company's valuation at €300 million, or about $350 million. This development follows just months after Nexos.ai emerged from stealth with an $8 million funding round that was also led by Index Ventures. In addition to the co-leads for the Series A, previous backers Creandum and Dig Ventures participated. The round was also supported by a group of angel investors, including the chief executive officers of Datadog, Klarna, Supercell, and Wix. The company's mission addresses what co-founder Tomas Okmanas describes as a looming risk of "the biggest corporate data leak" resulting from employees uploading sensitive information into large language models. Rather than banning these tools, Nexos.ai aims to act as a "Switzerland for LLMs." The platform is designed to function as a neutral intermediary positioned between a company's employees and its AI systems. This architecture is intended to keep corporate data under control while still allowing organizations to achieve the productivity gains associated with artificial intelligence. Stay ahead of the curve! Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox. The funding was secured through the persistence of co-leader Evantic Capital, a new venture firm launched by former Sequoia Capital partner Matt Miller. According to Okmanas, Evantic pursued the deal even when Nexos.ai was not actively fundraising. This embrace of venture capital marks a tactical shift for the founders, who famously bootstrapped their prior businesses, including the $3 billion cybersecurity company Nord. Nexos.ai now gains access to guidance from Miller's "Legends" network, a group of 140 operators who advise portfolio companies. Okmanas is a member of this network and also draws upon its expertise. The new capital will be used to further develop the company's product, which currently consists of two main components. The first is an AI Workspace, an interface for employees, and the second is an AI Gateway for developers. This gateway acts as a central control layer for security, cost management, and compliance oversight. It also addresses what Okmanas sees as a key barrier to AI adoption - fragmentation - by providing a single access point to a catalog of some 200 different AI models. A primary use of the new funding will be to accelerate support for private AI models that can handle sensitive data. The company reports conducting 50 to 60 demo calls per week. Okmanas believes traditional businesses will have "a lot of homework" to do to convince their boards on how to adopt AI. For this reason, Nexos.ai is initially focusing its efforts on tech-savvy companies that already use AI daily and on organizations operating in regulated industries. These sectors have heightened concerns about governance and the security implications of sending sensitive data to AI models hosted in foreign countries. The idea for the company originated from the founders' work with Tesonet, their firm that builds and invests in startups. While overseeing the Tesonet portfolio, Okmanas and Sabaliauskas identified the critical AI governance gap in the market. Tesonet portfolio companies are among the first customers of Nexos.ai. The Bulgarian fintech unicorn Payhawk, which also operates an office in Vilnius, is another disclosed client. According to a press release, the new funding will support expansion across Europe and North America. To illustrate the value proposition for enterprises, Okmanas points to a case within the Tesonet portfolio. At web hosting provider Hostinger, an AI assistant reduced the need for human support. He stated, "That's why we didn't need to hire 500 people and saved €10 million this year alone." While declining to disclose Nexos.ai's own revenue, Okmanas said that by its first anniversary, the team will grow to 100 people, mostly in Europe. This European focus aligns with emerging opportunities at public institutions concerned with data sovereignty, potentially opening a new market beyond its enterprise focus.

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