startup
Agent automating quality inspection
Amazon Bedrock (ClaudeTitanStability AI)PythonAWS S3AWS EC2 DeepSpeed quantizationcustom Android/web app
“Reduced inspection time from hours/days to under 5 minutes end-to-end”
startup
Why they built it
Manual visual inspections are time-consuming, subjective, and hard to scale in high-volume scenarios like insurance claims.
What worked
Modular architecture with model flexibility; frictionless UX; fine-tuning improved accuracy in edge cases
What broke or was painful
Base models required fine-tuning for domain alignment; training resource constraints addressed with DeepSpeed/quantization
The result
Reduced inspection time from hours/days to under 5 minutes end-to-end