nexos.ai vs TrueFoundry comparison: which one to choose in 2025?

What is nexos.ai?

nexos.ai is an all-in-one AI platform built to simplify how enterprises adopt and manage large language models (LLMs). It offers a powerful API layer that connects multiple AI models, enabling businesses to choose, oversee, and switch between them with ease. With nexos.ai, you gain a single platform to streamline model management, boost performance, and maintain control over costs and security.

nexos.ai consists of two products. An AI Workspace is a web-based environment where you can chat and compare LLM outputs, collaborate with colleagues, and use AI assistants. In the meantime, AI gateway is a plug-and-play infrastructure for connecting AI models, building AI-powered apps, and scaling your systems.

The main benefits of the nexos.ai platform are:

• One chat interface for all LLMS. Chat and test over 200 AI models from a single web-based interface.
• Simple output comparison. Use one prompt to generate multiple responses from different AI models side-by-side and pick the one you like most.
• Secure web search. Retrieve information from the internet that’s aligned with your organization’s guardrails and policies.
• Projects for teamwork. Collaborate in the context of your documents and prompts.
• Enterprise search across tools. Connect internal knowledge bases from Google Drive, Jira, and similar tools.
• Multi-modal input and output. Text, documents, images, and audio are supported.
• Full LLM visibility. Track model and token usage, manage policies, and control access with role-based or SSO permissions.
• AI guardrails. Customizable input and output filters will let you stay compliant and secure at all company levels.
• Stable performance with fallback models. Avoid downtime by assigning backup models in case there are any issues with primary providers.
• API-readiness. nexos.ai easily integrates with your existing workflows and systems.

What is TrueFoundry?

TrueFoundry is a platform that allows you to govern, deploy, scale, and trace AI. 

TrueFoundry encompasses two main products. LLMOps helps build, deploy, and scale generative AI applications. It involves the full lifecycle of AI models, from training to governance. Another product, AI Gateway, offers secure, high-performance access to models along with orchestration and full LLM observability.

A new feature named MCP Gateway is currently being developed. Its goal is to provide unified and secure access to Model Context Protocol (MPC) servers.

The main benefits of the TrueFoundry platform are:

• Unified API. Access hundreds of LLMs from various vendors or host your own models.
• Comprehensive cost management. Token-level usage attribution, real-time budget enforcement, and spending pattern optimization. 
• Low-latency, high-throughput inference. Enabled by industry-leading vLLM and SGLang servers.
• Efficient fine-tuning. Full-code and no-code fine-tuning, checkpointing, one-click deployment, and automated training pipelines.
• Fallback and automatic retries. Reliability across LLMOps pipelines.
• Structured prompt workflows. Version control, A/B tests, and full traceability.
• AI guardrails. For content moderation and sensitive information detection.
• One-click retrieval augmented generation (RAG) deployment. Deploy all components simultaneously with optimized storage, retrieval, and query processing.
• Low-latency inference. High-speed infrastructure for the most performance-sensitive workloads.

Differences between nexos.ai and TrueFoundry

nexos.ai is best suited for organizations that need to manage access to multiple LLMs and create a user-friendly environment for their use.

TrueFoundry can also be used for secure and high-performance AI model access, but its main role is that of an LLMOps platform for managing the full lifecycle of AI models and bringing GenAI applications into production reliably and at scale.

Since both platforms were created for different purposes, it’s not possible to directly compare nexos.ai Workspace and TrueFoundry LLMOps. That’s why we’ll only focus on differences in their AI gateways.

Here’s a detailed TrueFoundry vs nexos.ai feature comparison:

Even though nexos.ai lacks some Gateway features, such as low-latency inference or MCP support, you will be choosing it or TrueFoundry based on whether you need an AI Workspace or an LLMOps platform. These are their main products, and the AI Gateway is something that you need to manage one or the other.

AI Workspace

AI Workspace is a product offered by nexos.ai that’s essentially a web-based environment for working with AI.

Here you can securely chat with your chosen LLMs, compare their outputs, or collaborate with colleagues using Projects. The latter feature is handy if you want to create a context by uploading your organization’s data or connecting to the information from tools like Google Drive or Confluence.

AI Workspace also allows secure web search, where AI guardrails and your company’s policies prevent potentially harmful outputs.

Here you can also store files and AI replies for future reference.

From the admin side, you can manage user access via SSO and role-based permissions and monitor budgets or resources. If you want to integrate LLMs into other tools, you can simply generate API keys and enforce the same guardrails, security policies, and visibility.

LLMOps

Available for TrueFoundry clients, LLMOps helps build, deploy, and scale generative AI applications. This encompasses the full lifecycle of AI models, from training to governance. Thanks to LLMOps, you can easily integrate with Hugging Face, private registries, or model hubs.

LLMOps also allows you to use SGLang and vLMM servers for high-throughput and low-latency inference. Then there’s GPU autoscaling, auto shutdown, and intelligent resource provisioning.

This platform also provides no-code and full-code fine-tuning support on custom-tailored datasets. 

Furthermore, Low-Rank Adaptation (LoRa) and Quantized LoRa (QLoRa) let you adapt the LLMs to new tasks with fewer resources. Training can then be resumed with checkpointing support.

One feature of LLMOps that would benefit the nexos.ai Workspace is prompt engineering with version control. Luckily, it’s already in the plans and should be available in the upcoming months.

LLMOps can also be used to manage the AI agent lifecycle. It supports CrewAI, LangChain, AutoGen, and custom agents. You can run and scale AI agents across any framework, and the orchestration is framework-agnostic.

AI model support

nexos.ai supports over 200 AI models, while TrueFoundy has the number at more than 250. These include popular LLMs, such as ChatGPT, Claude, Gemini, Mistral, etc. With TrueFoundy, you can also run your own AI models in addition to those offered by third parties.

AI gateway

Both TrueFoundry and nexos.ai have solid AI gateways. And even though the latter lacks a few features, this won’t be the deciding factor because you’ll be choosing the platform based on whether you need AI Workspace or LLMOps.

Unified endpoint (API access)

nexos.ai and TrueFoundry can be accessed through a single secure endpoint API.

nexos.ai uses a plug-and-play gateway to connect your projects and apps to any LLM provider through a single integration. After the setup, you only need to generate additional API keys for users, teams, or services.

Meanwhile, TrueFoundry also lets you centralize API key management and user authentication in one place.

LLM observability

Both TrueFoundry and nexos.ai provide full LLM observability.

With TrueFoundry, you can monitor token usage, latency, error rates, and request volumes. Moreover, you can store and analyze input and output logs to make staying compliant and fixing bugs easier. There’s also an option to tag traffic with metadata and filter logs and metrics for better insights and faster problem-solving.

Regarding nexos.ai, it lets you track every input, output, and token in real time via dashboards to understand usage patterns and evaluate costs on the user, team, or service level. Full audit trails also let you force accountability, as logged interactions can integrate with AI guardrails and help enforce data protection.

You can also keep sensitive inputs and outputs from outside. Finally, nexos.ai provides real-time spans and traces to monitor requests and API performance.

Quota and access control

Quota and access control are available for both nexos.ai and TrueFoundry users.

TrueFoundry lets you control your AI usage costs by applying rate limits on the user, service, or endpoint level. Furthermore, it’s possible to set quotas with metadata filters. Access can be managed with role-based access control (RBAC) and centralized rules for agent workloads and service accounts.

In the meantime, nexos.ai comes with input, output, and token tracking, file activity, and API calls in real time with unified logs, traces, and performance monitoring. You can also set budgets and save tokens with intelligent caching for similar and repeat queries. Access control is made easy, as you can generate API keys for users or teams and control what data or models they are allowed to access. 

Built-in RAG

nexos.ai and TrueFoundry have the built-in retrieval-augmented generation (RAG) feature. This allows you to connect AI models to your organization’s internal knowledge, which can come in the form of documents and other formats. RAG is especially beneficial for customized LLMs that you want to use as customer support chatbots or AI assistants.

nexos.ai doesn’t give much detail on its RAG and how it can be deployed, whereas TrueFoundry states that it’s a single-click effort for all components, including VectorDB, embedding models, frontend, and backend. They also mention configurable infrastructure to optimize storage, retrieval, and query processing.

Low-latency inference  

TrueFoundry’s low-latency inference lets you run the most performance-sensitive workloads through a high-speed infrastructure. According to their website, you can achieve internal latency that’s below 3ms even under high traffic. Additionally, you can place deployments close to inference layers, minimizing latency.

Fallbacks and routing

Both nexos.ai and TrueFoundry offer fallbacks for uninterrupted work if the selected AI model becomes unavailable. 

TrueFoundry can also route to the fastest AI model based on latency and distribute the traffic with weighted real-time load balancing. Another feature currently not present in nexos.ai is the geo-aware smart LLM routing that can help meet regional compliance and availability requirements.

Serving self-hosted models

While nexos.ai provides privately hosted models that run on a virtual private cloud, TrueFoundy offers more flexibility in this area.

For starters, you can self-host your own AI models on virtual private cloud, hybrid, or air-gapped environments, and deployment doesn’t require SDK changes. Secondly, TrueFoundry is 100% compatible with vLLM, SGLang, KServe, and Triton as model servers.

Moreover, with TrueFoundry you can manage autoscaling, GPU scheduling, and deployments. For instance, model caching lowers network costs, and image streaming downloads vLLM and SGLang images three times faster.

MCP support

At the moment of writing this TrueFoundry vs nexos.ai comparison, the latter didn’t have MCP integration in its AI Gateway.

Meanwhile, TrueFoundry’s MCP protocol standardizes how AI models can be connected to tools and data sources, such as GitHub or Slack. This makes building agents easy, and the MCP Gateway ensures centralization, including the MCP Registry and credential management.

AI guardrails

nexos.ai and TrueFoundry have AI guardrails that help avoid leaking sensitive information from AI inputs or outputs. They also help control who can access certain LLMs and enforce privacy, compliance, and ethics standards. Moreover, guardrails give an audit trail because each rule and prompt can be logged and reviewed.

That being said, nexos.ai currently doesn’t provide information on how its AI guardrails can be configured, while TrueFoundry offers a dedicated page in its knowledge base along with an example configuration and its explanation.

Which one to choose, nexos.ai or TrueFoundry?

As this nexos.ai vs TrueFoundry comparison has shown, choosing one of these AI platforms depends on your needs. Both TrueFoundry and nexos.ai support hundreds of models and offer an AI Gateway with unified endpoint access, LLM observability, AI guardrails, and fallbacks, among other features. However, each company provides a totally different second product.

TrueFoundry gives you an LLMOps platform for developing, deploying, and fine-tuning AI models on the enterprise level. In contrast, nexos.ai provides an AI Workspace where individuals and teams can use LLMs to write, code, and analyze or create AI Assistants that can automate one or all of these tasks. Choosing one of these two platforms will determine whether you go with nexos.ai or TrueFoundy.

Curious how nexos.ai stacks up against other AI tools? We have also compared nexos.ai with the following tools:

• nexos.ai vs Langdock
• nexos.ai vs Portkey