We’re building the
operating layer for AI agents
Korelos AI Studio was born from a simple frustration: deploying useful AI should be as easy as calling an API. We’re on a mission to make autonomous AI agents accessible to every developer and business in the world.
How it started
The idea for Korelos came from watching brilliant teams waste months reinventing the same infrastructure before they could ship a single useful AI feature.
In 2024, our founders were working with a series of startups trying to integrate AI agents into their products. Each team faced the same challenges: they had to build their own orchestration layer, manage memory across conversations, wire up tool integrations, handle retries, and set up observability — before they could even test whether their agent idea actually worked.
What should have been a two-day experiment turned into a two-month engineering project. Every. Single. Time.
We asked: what if all of that was just an API call? What if you could define an agent, give it tools, and have it live in production within minutes — not months?
That question became Korelos AI Studio. A platform where the hard parts — infrastructure, scaling, memory management, observability, tool execution — are handled for you. So you can focus entirely on what your agent does, not on how to keep it running.
Korelos AI Studio
Launching 2026
The problem identified
Founders observe the same AI infrastructure problem across dozens of teams.
First prototype built
Internal version created and tested with three pilot companies. Reduced deployment time from 8 weeks to 2 days.
Platform development
Full platform built — REST API, Studio portal, multi-model support, persistent memory, and observability.
Early access launch
Opening waitlist to developers and businesses ready to build the next generation of AI-powered workflows.
AI is powerful. Deploying it is painful.
Today, turning an AI idea into a production-ready agent requires significant engineering investment. Most teams are rebuilding the same foundational components from scratch — over and over.
- Weeks building custom orchestration layers
- Complex memory management across sessions
- Building and maintaining tool integration wrappers
- Zero observability into what agents actually do
- Scaling infrastructure for every new agent
- Rebuilding auth, retries, and error handling
- Different code for every AI model provider
- Agent live in minutes with a single API call
- Persistent, scoped memory built in by default
- Register any tool once — agents call it automatically
- Full execution traces and analytics out of the box
- Auto-scaling infrastructure, no ops required
- Resilient execution with retries handled for you
- Swap models per-agent without changing your code
What we stand for
We believe AI agents should be as easy to deploy as a web service. Our values guide every decision we make — from product design to how we treat customers.
Simplicity over cleverness
The best infrastructure is invisible. We obsess over reducing complexity so developers can focus on building, not debugging abstractions.
Reliability is non-negotiable
Production AI systems need to work every time. We build for 99.99% uptime and treat every failure as a personal failing.
Democratize AI operations
Enterprise-grade AI infrastructure shouldn’t require an enterprise budget. We build for the solo developer and Fortune 500 alike.
Full transparency
You should always know what your agents are doing and why. Every decision, tool call, and output is traceable and auditable.
Developer-first
We make decisions by talking to developers. Our API design, documentation, and support all start with what makes your life easier.
Ship fast, iterate faster
The AI landscape evolves weekly. We commit to shipping improvements fast and keeping pace so you always have access to the best models and tools.
Where we’re going
Korelos AI Studio is just the beginning. Here’s what we’re building toward — in the short, medium, and long term.
Launch the world’s simplest agent API
Make deploying an AI agent take 5 minutes and 5 lines of code. Set the industry standard for what agent-as-a-service means — clean, predictable, and production-ready from day one.
Build the richest tool integration ecosystem
Create a marketplace of pre-built tool integrations — from databases to SaaS apps to internal APIs — so developers can connect anything in minutes, not days.
Enable multi-agent orchestration
Allow agents to spawn, call, and coordinate with other agents. Build complex workflows where specialized agents collaborate — a research agent feeds a writer agent feeds a publisher agent.
Power 100,000 production agents
Become the infrastructure layer running agents for startups, enterprises, and everything in between. Prove that reliable, scalable AI operations are within reach for every team.
Make agents self-improving
Build feedback loops that let agents learn from their runs, improve their tool usage, and surface optimization suggestions — so your agents get better over time automatically.
Built by engineers, for engineers
Our team comes from the intersection of AI research, developer tooling, and production infrastructure. We’ve built systems at scale and know what production AI really needs.
Founder & CEO
Former ML infrastructure lead. Obsessed with making AI deployable by everyone.
Co-founder & CTO
10 years building distributed systems. Led platform engineering at two unicorns.
Head of Product
Previously built developer tools used by 500K+ engineers. DX fanatic.
We’re hiring — careers@korelos.com
Ready to build with us?
Join the waitlist and be part of the first wave of developers shaping the future of AI agents.