Discover the power of hundreds of AI models, orchestrated specifically for your system and use-case (in 2 lines of code, or less)
Proudly backed by solid sponsors and partners, aligned with our vision of building the new computer system generation.
Use 2501 agents to save time on tasks, improve uptime and efficiency. It's designed to understand your system in seconds, navigate it, and perform autonomous actions.
Whether it's helping you set up your Cloud Architecture, doing DevOps, analyzing Incident Root Cause or just automating a task on your computer, you can count on 2501 to handle it.
We benchmarked hundreds of model permutations and always use the most efficient mixture of models for each specific task, file type, and architecture.
Even if using 2501's CLI is more comfortable, we recognize the challenges of working with AI on heavy infrastructure, using it correctly, and of getting the best possible output.
So we built cross-platform solutions to let you easily manage your AI agents.
Large infrastructures often deal with various languages, security breaches, new implementations ... To handle each correctly, you usually need at least one matching skill set developer.
To avoid time and labor intensive tasks, we tried, matched and orchestrated
hundreds of AI models able to handle any code or situation. So you don't have to.
Once you share requirements with 2501, an AI orchestrator dispatches agents where necessary.
If some C# awaits review, it might send an OpenAI-based model. Claude might be next for the JS on the front-end of your app, and finally an IBM model could handle Python and Golang APIs.
All of this is done autonomously. No configuration needed, just wait and your AI orchestrator will give a detailed report. Then you will choose how to fix the issue.
AI companies often develop single models meant to handle most use-cases on their own. Basically, a jack of all trades, master of none. It often leads to inefficient handling of very specific code, latency due to poor context understanding, and (very) high token usage.
2501 constantly tries new and less-known models for an infinite number of tasks. Our state-of-art AI is self-adjusting, using the best model at all times to output better results for the least tokens necessary.
We have trained, benchmarked, compared for you.
Our goal is to out-perform what you can see on the market, especially when it comes to accuracy, efficiency, and cost.
Comparing with common features between 2501 and other similar products available on the market.
We are looking for early deployments of 2501 on large and small systems. You can already request access to our discord, and we will get back to you within the next 24 hours. Let's talk !