Automax.ai is an AI-native real estate appraisal firm that streamlines property valuations using a mobile app with LiDAR and computer vision to capture property details automatically. Custom-trained AI agents then generate compliant appraisal reports in under 20 minutes, versus the traditional 5-7 day industry standard. Originating as internal tooling for the founder's family appraisal business, the platform grew to power thousands of reports per month for major appraisal firms. Founded by Humza Ahmed, Automax is part of Y Combinator's Fall 2025 batch.
Automax.ai
ActiveAI native real-estate appraisal firm
Total raised
$7.7M
2 rounds
Stage
Seed
Team
1-10
since 2025
Pricing
—
Founded
2025
San Francisco, United States
Agent-ready
—
AI-native real estate appraisal workflow
Mobile app with LiDAR for automatic property capture
Computer vision to capture property details
Custom-trained AI agents that generate appraisal reports
Compliant report generation in under 20 minutes
Significant turnaround improvement over the traditional 5-7 day standard
Proven at scale powering thousands of reports per month
Backed by Y Combinator (Fall 2025 batch)
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2025 Seed $500K ● Y Combinator
— Seed $7.2M ● Radical Ventures
Capital network
$7.7M raised ·3 backers·10 network links
- Backers3
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- How does Automax capture properties?
- It uses a mobile app with LiDAR and computer vision to capture property details automatically.
- How fast are reports generated?
- Custom-trained AI agents generate compliant appraisal reports in under 20 minutes, versus the traditional 5-7 day standard.
- Is it used in production?
- Yes. It grew from internal tooling for the founder's family appraisal business to power thousands of reports per month for major firms.
- Who founded Automax?
- It was founded by Humza Ahmed and is part of Y Combinator's Fall 2025 batch.
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