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Let users control your app through chat

Crow lets users control your app through chat. Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus. Crow connects to your APIs and data sources, navigates your UI, and executes real actions. Set guardrails, define workflows, track every interaction, and deploy in under a week—no rebuilding required.
Active Founders
Jai Bhatia
Jai Bhatia
Founder
Turning products AI-native Crow Technology Officer (CTO) CS @ UC Berkeley ex-SWE @ 5 startups 🐦‍⬛
Aryan Vij
Aryan Vij
Founder
Turning products AI-native Crow Executive Officer (CEO) Prev engineering @ Qualcomm, Shasta Health (S23), and Frontdesk (PearVC). UC Berkeley EECS. Ex-Military Officer @ Singapore Armed Forces.
Company Launches
Crow - Let users control your app through chat
See original launch post

TL;DR

Crow lets users control your app through chat. Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus.

Unlike chatbots that just answer questions, Crow connects to your APIs and data, navigates your UI, and executes actions. Deploy in under a week.

https://youtu.be/WavAzjR0SCg?si=4mlnykEGLCGPT7S8

Ask: Know VPs or founders at software companies exploring chat-based interfaces? We'd love an intro! Contact us at aryan@usecrow.ai

🌊 The Shift

Remember when Blockbuster thought people would always drive to stores to rent movies? Then Netflix let you just click what you wanted to watch.

The same shift is happening with software right now.

It started with ChatGPT. Then Claude. Then every AI assistant that followed.

Users learned they could just ask for what they want, and it would happen. Write emails, search for information, generate code — all through conversation.

Now they carry this sentiment everywhere - including your product.

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❌ The Problem

Your product could be the next Blockbuster.

Not because your features aren't good. But because, your users:

  • Get lost in multi-step workflows buried in nested menus
  • Stare at dashboards with 47 buttons they don't understand
  • Give up on features they don't even know exist

You know an AI assistant would help. Your competitors are already shipping them. Your users are asking for them.

But building one yourself? That's where it gets hard.

Your team estimates 6+ months to build a reliable AI assistant:

  • Integrate LLMs and connect to every API endpoint in your product
  • Build context pipelines and connect to numerous data sources so it understands your app
  • Add guardrails so it doesn't break things
  • Build observability so you can debug when it fails
  • Make it secure and reliable enough for production

And even after you ship, it needs constant maintenance. Every product update means updating the AI integration.

Getting a demo working is easy. Getting to production-ready? That's the nightmare.

🔨 Our Solution

Crow isn't just a chatbot you slap on top of your product.

Crow is AI infrastructure that plugs directly into your app — so your users can chat with your product instead of clicking through it.

Example

Below you can see an implementation of Crow on a sample ERP application. The user is able to easily create a Customer, open their Profit and Loss page, and go back to the Customer page - without ever having to navigate the User Interface themselves.

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Most AI chatbots just answer questions. Crow takes actions — it hits your backend endpoints, clicks buttons, navigates your UI, and executes workflows.

Here's how it works:

Connect your context 📚

Connect your data sources — files, docs, websites, or custom integrations. Crow ingests it all and understands your product.

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Wire in your functionalities 🔌 Connect via OpenAPI spec or MCP server. Crow can now call your APIs and take client-side actions.

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Define Journeys 🛤️ Build workflows for specific scenarios.

  • E.g. User asks to cancel? Crow offers alternative options to avoid cancellation, then handles cancellation if they still want out. You set the path.

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Track everything 📊 See every conversation, tool call, and action. Know what users ask for and where things break.

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Deploy ⚡ One script tag. Simple wiring in your codebase. Go live.

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Our customers go live in under a week — getting an AI Assistant on their app that is faster and more reliable than what they tried building in-house.

🙏 Our Ask

If you answer "yes" to any of these, we'd love your help:

  • Are you a VP / executive / founder at a software company? We are working with companies that have 5k to 200k DAU. Let's chat about how Crow can help → aryan@usecrow.ai .
  • Know someone at companies like Notion, PostHog, or Shopify? We'd love to learn from teams already building great chat interfaces
  • Are you a developer with a side project? Try Crow for free. Connect to our MCP docs and use Claude Code or Cursor to drop Crow into your app

👉 Learn more at usecrow.ai or email us at aryan@usecrow.ai

Follow us on LinkedIn and X and share this post. Your intro could help us reach the next company that needs AI in their product!

👥 The Team

Aryan and Jai met on the first day of college at UC Berkeley, bonding over college football before ever writing a line of code together.

We've both worked at top AI startups building the infrastructure that powers conversational interfaces. At these companies, we transformed workflow-heavy SaaS products into chat-first experiences—wiring integrations, solving production challenges, and seeing firsthand the massive value it brought when users could chat with products instead of navigating clunky UIs.

We built Crow because we've done this transformation before and know exactly how hard it is. Now we're making it easy for everyone else.

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Crow
Founded:2026
Batch:Winter 2026
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Jared Friedman