Nexos AI review: game-changing AI solution in 2025
Nexos.ai is a new-generation take on AI orchestration founded by the same people, Tomas Okmanas and Eimantas Sabaliauskas, who are responsible for the success of the cybersecurity giant NordSecurity. Nexos.ai will launch in Q1 2025 and is set to help enterprises take AI projects from pilot to production.
Nexos.ai is designed to conjoin and seamlessly integrate around 200 LLM models from various providers, such as OpenAI, Anthropic, Google, and Meta. This unified interface for API interaction allows for smart model routing and load balancing to optimize costs and performance. In other words, nexos.ai can distribute tasks across providers to keep services running smoothly. Furthermore, it enables intelligent caching that significantly reduces repeated query costs while providing comprehensive monitoring and analytics for AI operations. Lastly, nexos.ai guarantees enterprise-grade security, safeguarding from data leaks and compliance controls with automated performance optimization across AI model providers.
This AI orchestration platform, set to change how we work with AI tools, is not yet live. So, in this review, I’ll share facts gleaned from the official nexos.ai site and take a deeper look at what to expect from this platform once it becomes available to the general public.
| Nexos.ai rating: | 9.8/10⭐⭐⭐⭐⭐ |
| Key features: |
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| Pricing: | TBA |
| Free trial: | TBA |
| Best for: | Businesses |
What is nexos.ai?
Nexos.ai is an AI model aggregation platform started in late 2024 by Tomas Okmanas and Eimantas Sabaliauskas, the co-founders of NordSecurity. This platform is a huge step towards AI model unification, alliancing over 200 LLM models in a single, integrated interface. This, in turn, simplifies AI deployment at scale.
The app offers unique features such as smart model routing, load balancing, intelligent caching, comprehensive monitoring, and enterprise-grade security controls. These capabilities enable businesses to optimize performance, control costs, and ensure reliable AI operations. Or, to put it in much simpler terms, nexos.ai absorbs the capabilities of different LLM models (text creation, task automation, image generation, and so on), allowing the user to create a prompt and get the desired outcome without having to look for the right tool required for completion or worrying about execution time.
In January 2025, nexos.ai dropped its previous stealth mode and emerged to the public by announcing $8 million in funding from Index Ventures, Creandum, and Dig Ventures. Such keen investment signifies the factual need for infrastructure to support efficient AI application management for businesses and enterprises.
How it works: nexos.ai features overview
Nexos.ai aims to solve several crucial business challenges associated with using, managing, and deploying AI models. This includes addressing the issues of:
- Complex AI integration – when a business needs several LLMs, but the models might be conflicting and cause inefficiencies in performance. Nexos.ai unifies over 200 AI models and ensures efficient use.
- Cost management – AI models aren’t cheap, and the costs can mount quite quickly. Nexos.ai solves this with intelligent caching to reduce costs for repeated queries.
- Performance optimization – nexos.ai provides features like load balancing, retries, and fallbacks to maintain smoothly running services, even during high traffic or disruptions. This ensures reliable and efficient AI operations.
- Security and Compliance – managing data security and regulatory compliance is paramount when using AI at scale. Nexos.ai has integrated enterprise-grade security control to protect sensitive data and prevent leaks. Lastly, nexos.ai can also ensure smooth adherence to compliance standards.
- Scalability – business growth does not have to mean hurdles and obstacles, and nexos.ai is made to handle increasing data demands smoothly, allowing for quick AI application scaling and growth.
Next, I’ll explore nexos.ai's features and capabilities more thoroughly, explaining how businesses can benefit from employing this AI orchestration platform.
1. Cost tracking: track and optimize all LLM costs
Through its unified dashboard, nexos.ai presents all Large Language Model (LLM)-associated costs in one place. This centralized look makes it easier to oversee all AI costs and track expenditures. Additionally, nexos.ai allows the sharing of cost data directly with the financial teams. That, in turn, simplifies budget planning and finance distribution without any discrepancies in the flow of information. Lastly, the platform can identify areas of unnecessary expenditure and pinpoint places where you could eliminate inefficient spending, ensuring that your AI investments are both efficient and economical.
2. Performance metrics: track crucial real-time metrics
Metrics are what make things interesting and make informed decisions possible. Nexos.ai tracks around 20 crucial real-time AI-associated indicators, such as:
- Token usage. By measuring the number of tokens processed, nexos.ai helps manage and optimize the use of AI models.
- Response time. Tracks the time spent on generating output and helps identify any delays before they can become a hindrance.
The real-time monitoring of such metrics allows for quick identification and action on anomalies or inefficiencies, easy recognition of trends for further improvements, and fine-tuning of AI model operations based on insights.
So, basically, this continuous tracking prevents unexpected situations and creates a fertile ground for constant improvement and tuning of the AI models to the specific needs of any enterprise.
3. Logs: log every request and response
With AI, especially when used in large scale, logging is essential as it allows for quick debugging and performance analysis. The nexos.ai logging feature records every request and response within the system and stores it in an easily accessible library. Maintaining this detailed log of actions, makes it easy for businesses to ensure transparency, troubleshoot any issues, and, over time, improve the reliability of AI applications.
4. Smart filtering: focus on the metrics that matter
Nexos.ai can track tens of different metrics according to individual needs. However, not all metrics are useful in all cases and having to sift through them all every time might become tedious and inefficient. So, the nexos’ smart filtering feature allows its users to concentrate only on the most important metrics to them, ensuring that crucial information is readily accessible.
This focus on the key metrics in each case enables swift and more informed decision making, which leads to a more efficient operational performance. Naturally, reducing informational overload makes it easier to streamline processes and boost productivity. Lastly, nexos.ai promises to allow for great lengths of customization, giving users a tailor-made experience.
5. Tags: add metadata to your requests
The Tags feature allows users to attach personalized metadata tags to their AI requests, making the organization and management of AI operations much more structured and streamlined.
The assignment of unique tags allows users to group and categorize their prompts for eas retrievement and management of information. Additionally, the use of tags improves searchability as well as streamlining workflow.
To sum it up, Tags facilitates a well-organizes AI model operation environment, which leads to better resource management and more efficient workflows.
Upcoming features
nexos.ai promises quite a few exciting features, including intelligent caching, performance evaluation, prompt-to-API, and smart model routing. Although I did not have the opportunity to test these features myself, as the platform has not yet been launched, I’ll share my insights into the features based on the information I found on the official website and other sources.
Smart model routing
The nexos.ai model unifies around 200 LLM models, but that unification wouldn’t be as effective without some sort of routing and distribution of load among them. So, nexos.ai comes with a smart model routing feature that automatically and intelligently distributes tasks to the most suitable model. Thus, this agentic platform always finds the most efficient way to fulfill your task.
The key benefits of this feature is its capability to minimize downtime, boost performance, and ensure error-free operation. In short, this smart model can take care of your tasks without you having to deliberate which model is the best for it and how to distribute the load of the tasks.
Performance evaluation
In a nutshell, nexos.ai’s performance evaluation feature allows users to assess and compare the effectiveness and efficiency of different AI models within the nexos.ai ecosystem. Again, this is very helpful in discerning which AI models work best for a particular case and make the most sense to use in varying situations.
The performance evaluation is done based on several factors, including prompt effectiveness comparison and benchmarking against industry or internal factors to ensure alignment. Overall, this performance evaluation allowes business to make informed decisions concerning deployment, scaling, or replacing AI models for better resource utilization and improved promt outcomes.
Intelligent caching
nexos.ai intelligent caching is fine-tuned to cut AI model response time and lower the costs of use. Its main principle of task execution is to use both exact and semantic caching methods to oversee repeated or similar queries across the AI models.
The intelligent caching is made out of two key components: exact caching which stores responses to specific queries and semantic caching which recognizes differently-phrased queries with similar meaning. Use of both of the components for intelligent caching reduces costs by reusing existing responses to minimize redundant processing, while also optimizing performance by reducing the time it takes to generate response.
Prompt-to-API
The prompt-to-API feature eliminates any need for manual API development, which allows users to work with the AI models more efficiently and smoothly. Nexos.ai does this by automatically converting AI models and their prompts into RESTful APIs ready to be used on demand.
Naturally, the automation of API creation from AI models and their prompts can save significant amounts of time for developers, cutting corners in project timelines. Additionally, the prompt-to-API feature makes it easier to integrate AI functionalities into existing systems, which, in turn, prepares a fertile ground for easy AI application scalability.
Guardrails
If you’re cautious about the safety of using such a platform as nexos.ai or AI as a whole, this tool comes with a feature named guardrails, which aims to provide an essential layer of privacy and security in using AI models. Basically, these guardrails act as a physical barrier, preventing sensitive data from reaching AI models at all.
These so-called guardrails incorporate features to filter biases and unwanted content to ensure the protection of user data and adherence to ethical standards. Plus, let me remind you that nexos.ai is founded by the same company as NordVPN, and if you know anything about VPNs, you will definitely have heard about the level of security and safety this industry-leading service provides. Thus, the same level of transparent data policy and compliance is to be expected from nexos.ai.
Pros and cons of nexos.ai
As an AI orchestration platform, nexos.ai is designed to streamline enterprise AI operations through the integration of around 200 LLM models, performance optimization, and cost savings. This feature-rich platform offers advancements to optimize workloads, such as performance metrics, intelligent caching, smart model routing, and cost tracking. Plus, with the inclusion of the guardrails feature, nexos.ai aims to make AI models safe and secure to use in regard to user data and malicious content.
This platform offers several key advantages, but it also has its limitations. I identified the main advantages and drawbacks of nexos.ai below:
| Pros: | Cons: |
| ✅ Lower AI costs. nexos.ai intelligent caching, smart model routing and cost-tracking features can efficiently cut the costs of AI model integration and use. | ❌ LLM-limited capabilities. As of right now, nexos.ai is only focused on LLM models, which can restrict the platform’s applicability for businesses seeking a broader range of AI functionalities. |
| ✅ Reliable performance. The smart model routing as well as performance tracking features ensure both the selection of the most appropriate AI model as well as timely troubleshooting and in-depth insights for improvement. | |
| ✅ Smooth integration. Thanks to the prompt-to-API feature, the AI models can be easily integrated into existing systems without the need to manually develop new APIs. |
Nexus AI FAQ
Is nexos.ai safe to use?
Yes, nexos.ai is safe to use. The platform was launched by the co-founders of Nord Security, a powerhouse in cybersecurity solutions known for such names as NordVPN, NordStellar, and Nord Threat Protection. Because Nord Security undergoes constant third-party no-logs policy authorization and employs transparancy tactics, nexos.ai is also likely to adhere to the same rules as the company’s other products.
What are the disadvantages of nexos AI?
Nexos.ai is still awaiting its formal launch, so there’s not much information on its actual disadvantages. One thing I can pinpoint now is that it will only include LLM models at first, signifying possibly limited application use.
What company is behind nexos AI?
NordSecurity is the company behind nexos.ai. The most well-known product of this company is NordVPN, which is a leading virtual private network service in the industry. So, nexos.ai has a strong backbone in cybersecurity and data leak prevention, to make it a reliable and safe AI platform.
Is nexos a free AI tool?
As of right now, there are currently no news on nexos.ai pricing. However, it’s highly likely that the platform will offer a free trial to test it out.
