nexos.ai - An AI orchestration platform for the agentic era

nexos.ai An AI orchestration platform for the agentic era

What is nexos.ai?

nexos.ai is a powerful AI orchestration platform designed to streamline the integration and management of AI models. It offers a unified API that allows access to models from all major providers, simplifying the process of switching between large language models (LLMs) with minimal effort.

The platform ensures reliable performance through features like load balancing, retries, and fallbacks, distributing tasks across providers to maintain smooth operation. It also provides comprehensive observability and team management tools, including real-time monitoring of usage, spending, and performance, as well as AI guardrails to protect against harmful AI-generated content and data leaks.

Features

Simple LLM integration: Access AI models from all major providers and switch LLMs with minimal effort, on one API.
Load balancing, retries, and fallbacks: Distribute tasks across providers to keep services running smoothly.
Observability and team management: Monitor usage, spending, and performance in one place, in real time.
AI guardrails: Protect your customers and employees from harmful AI-generated content, data leaks, and unintended outputs.
Cost tracking: Track and optimize all LLM costs in one unified dashboard.
Performance metrics: Track 20+ essential metrics in real-time, from token usage to response times.
Smart filtering: Focus on the metrics that matter.
Smart model routing: Automatically choose the best model for each prompt.
Easy evaluations: Compare prompt effectiveness across different models and providers.

Use Cases

Streamlining AI workflows by automatically selecting the most cost-effective LLM.
Minimizing service interruptions with automatic fallbacks during downtime.
Scaling AI applications effortlessly to handle growing data volumes.
Simplifying integration by accessing all major LLMs through a single platform.
Optimizing AI performance and cost-efficiency by switching between models and providers.
Ensuring data security and compliance with industry standards.