Overview
Crow and Amarsia are both AI platforms that help developers integrate conversational AI into their products, but they take fundamentally different approaches.
Crow is a chat-first AI copilot that you embed into your existing product. Users can type what they want instead of clicking through menus. It connects to your existing APIs via OpenAPI or MCP, so you don't need to rewire your product. It's built for product teams that want to add an AI assistant quickly.
Amarsia (formerly Conversation API) is a platform to build, deploy, and manage AI agents and assistants without writing backend code. It handles conversation memory, state, and infrastructure. It's ideal for builders who want to create AI chat features without managing servers or databases.
Feature Comparison
| Feature | Crow | Amarsia |
|---|---|---|
| Core Functionality | Chat-first AI copilot embedded in existing products | Platform to build and deploy AI agents without code |
| Integration Method | OpenAPI or MCP to existing APIs | No-code builder and API |
| Target Audience | Product teams adding AI to existing apps | Builders, startups, enterprises creating AI agents |
| Deployment Speed | Days | Minutes (14-day guarantee) |
| Memory & State | Not built-in; relies on APIs | Built-in conversation memory and state |
| Pricing | Custom enterprise | Free sandbox + credit-based |
| Enterprise Features | SSO, RBAC, dedicated support | Unlimited environments, analytics, SLA |
| Observability | Full conversation visibility | Logs, evaluations, test cases |
| Backing | Y Combinator | Google for Startups, NVIDIA Inception |
Pricing
Crow: Pricing is not publicly listed. It appears to be enterprise-focused, requiring a demo to get a quote. Likely based on usage and support level.
Amarsia: Offers a free sandbox tier with up to 10 assistants and 10,000 runs per month. Core and Scale plans are custom-priced. AI model usage is credit-based: 1 credit = 1 standard run (4k tokens). Credit add-ons start at $20 for 500 credits.
Pros and Cons
Crow
Pros:
- Extremely fast integration (days) into existing products
- No need to rewire product architecture; uses existing APIs
- Full visibility into agent conversations and actions
- Enterprise-grade security and compliance
- Backed by Y Combinator and experienced team
Cons:
- Pricing not transparent; likely expensive for small teams
- Limited to chat-first copilot use case
- No built-in memory/state management; relies on external APIs
Amarsia
Pros:
- No-code builder for AI agents
- Built-in conversation memory and state management
- Free sandbox tier available
- Transparent credit-based pricing
- Backed by Google for Startups and NVIDIA Inception
Cons:
- May require more setup for custom integrations
- Credit system can be complex for heavy usage
- Less focused on embedding into existing products; more about building standalone agents
Verdict
Choose Crow if you need to quickly embed an AI copilot into your existing product with minimal changes and want enterprise-grade support. Choose Amarsia if you want to build and manage AI agents from scratch without coding, with transparent pricing and built-in memory.