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Okibi

Build AI coworkers using natural language, it's Lovable for agents

Okibi is a web app that lets you create AI coworkers using natural language. It's like Lovable for creating AI agents that talk to your internal software Corporate users lose 2 hours every day doing tasks that can be automated with agents But existing agent builders have janky drag and drop UIs that don’t map to what they want exactiy. Okibi lets everyone use natural language to build the exact agent they want.
Active Founders
Mahyad Ghassemi
Mahyad Ghassemi
Founder / CEO
2x YC founder building a web app to create AI coworkers using natural language, think of it as Lovable but specifically designed for AI agents. previously built the first web browser designed for work with AI agents built in @SigmaOS (S21), used by 100,000+ people with 75,000 LLM requests per day.
Saurav Mitra
Saurav Mitra
Founder
Building Okibi (S25) to create AI coworkers using natural language, like Lovable but specifically designed for agents. Previously built SigmaOS (S21), the agentic browser built for work. Used by 100,000+ people.
Company Launches
Okibi | The agent that builds agents 🤖
See original launch post

Hey everyone 👋

We are Mahyad and Saurav, the co-founders of Okibi

TL;DR

Okibi is a web app that lets you create AI agents using natural language. You can think of it as Lovable for Agents.

Our ask: try it out @ijustwannabuild.ai, and book a call with us! We’d love your feedback and what kind of agents you need for your company

https://youtu.be/3cZWA9SAohM

❌ The problem and why we care to solve it

The two of us have been building software for over 10 years and working together for the past 7. Actually, This is also our second YC startup together. At our previous company, SigmaOS (S21), where we built the first browser with built-in agents, we ran into a ton of repetitive tasks and had to build many agents for our own product. Automating those tasks was slow and complicated. We often ended up doing things manually or relying on partial solutions like Zapier, Lindy, custom scripts, or hacked-together LLM tools. The agents we did build for our product also eventually became messy and hard to maintain.

Creating AI agents typically requires complex, time-consuming setup, including tool calls, LLM syntax management, multi-agent orchestration, browser use, human in the loop, evals, and hosting deployments.

So, when building agents two primary challenges always come up:

  • Evals
  • Architecture and Infrastructure

✅ How Okibi solves it for you

Our web app provides a chat interface and toolkit to easily create AI agents. Just describe your agent in natural language, similar to vibe coding, and our app automatically generates your agent's tool calls, human in the loop, browser use, and runs an initial eval on your agent.

Whether you're building an internal workflow automation to remove repetitive or time consuming tasks, or launching a product with agents, Okibi can help you build it.

We are currently working with 15 YC companies from the current and previous batches to automate tasks like:

  • Pre-qualify companies with the right person at those companies to sell your product to
  • Generate invoices and update their invoice trackers based on email and contract
  • Pre-meeting prep for client or sales lead call
  • Generate pricing and proposal based on meeting notes and existing contracts

https://www.loom.com/share/2c038ed7243a4984a0b8224c2e24eacb?sid=cec442cb-88cf-4b75-b9bf-84b7fa3618de

🤖 Ready to start automating with agents?

Head over to ijustwannabuild.ai, and…

Okibi
Founded:2025
Batch:Summer 2025
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Gustaf Alstromer