Most teams discover that building an AI agent beyond a demo is an infrastructure problem, not a model problem. Production-ready agents require:

• Scaling to thousands of concurrent sessions and millions of conversations
• Streaming support and recovery from connection drops
• Conversation and state persistence
• Safe access to proprietary data sources (Salesforce, SQL, OpenAPI, etc.)
• Deep integration with app logic and auth
• Guardrails and rate limits
• Session replays and analytics

Companies routinely spend weeks or months rebuilding the same runtime, storage, and observability stack. Making good agents that work at scale and deeply integrate with existing application stacks is hard, expensive, and time-consuming. This slows iteration and makes deploying AI prohibitively expensive.

Arcten provides the infrastructure layer for deploying AI agents into production.

You focus on the business logic; Arcten handles the rest. Our SDK and distributed edge runtime manage deployment, scaling, persistence, safety, and monitoring automatically.

Deep integration, automated setup.

Arcten links directly into your application and data stack. We provide hosted RAG, data connectors, built-in guardrails, and full analytics with session replays. Startups can launch copilots instantly, PMs can embed intelligent workflows, and enterprises can safely connect agents to internal systems—without building infrastructure. We turn months of grueling infrastructure development and agent engineering into a few minutes.

Team

We’ve been building AI agents since the first GPT release, and we’ve seen how hard it is to make them truly production-ready—scaling reliably, integrating deeply with applications, and working consistently in real-world environments.

Before Arcten, Armeet researched AI at Caltech, focusing on novel neural operator architectures for vision models. His work has been published at CVPR and NeurIPS. Michael was an AI researcher collaborating with Caltech and DeepMind researchers on agentic behavior compared to neural human processing and novel architectures to make smarter AI models, presenting his work at NeurIPS.

We started Arcten to make deploying enterprise-grade agents as seamless and powerful as the models themselves. Building with AI is still harder than it should be: models keep improving, but turning them into dependable, scalable products requires deep expertise and complex infrastructure.

As AI becomes the backbone of modern software, every company will need an agentic infrastructure layer—and we’re building it from the inside out, grounded in years of AI research and hands-on engineering with advanced model architectures.

Demo

https://youtu.be/j0IP_CVln8Y

We make it simple for you to add agents to your app. You provide the functions. We scale on our edge infra and provide you with embedded components:

You can make your own custom UI/UX via hooks. Here’s an example of an agentic experience added to an existing search bar:

We’re publicly launching Arcten today.

Whether you’re building copilots, intelligent workflows, or enterprise integrations, Arcten helps you go from idea to production in minutes.

If you’re to supercharge your applications with AI, book a demo or send us an email—we’d love to help you get your first agent live.

📧 Contact us: founders@arcten.com
📅 Book a demo: https://www.arcten.com/