Real work on AWS, intelligent document processing, and generative AI. Case studies with the numbers, plus implementation guides from the engineers who shipped them.
We rebuilt a regulated U.S. defense mission platform on AWS GovCloud as 100% infrastructure-as-code with Amazon EKS, AWS CDK, and NIST 800-53 as code — an under-1-hour DR rebuild, zero static CI keys, and 127/127 tests passing at cut-over.
Read the GovCloud EKS modernization case study →Bank of Montreal automated handwritten loan application processing using Amazon Bedrock, achieving 92% handwriting recognition accuracy, $2.1M in annual savings, and 40% cost reduction.
Read the BMO loan automation case study →DegreeData automated course catalog processing for 500+ institutions using Amazon Bedrock, achieving 80% faster processing, $800K annual labor savings, and 180% ROI.
Read the DegreeData course catalog case study →Complete guide to implementing AWS Textract for document processing. Learn architecture patterns, best practices, and real-world tips from a team led by former AWS engineers.
Read the AWS Textract implementation guide →Complete breakdown of IDP costs in 2025. AWS Textract pricing, implementation costs, and ROI calculations with real client examples showing 60-75% cost savings.
Read the IDP cost breakdown →We helped a vital-records provider build a GenAI–powered document processing platform reducing turnaround from days to minutes with 98–99% accuracy and 60–75% cost reduction.
Read the healthcare document processing case study →How we built a contract-intelligence platform on AWS without increasing headcount, reducing contract review time from hours to minutes while maintaining accuracy.
Read the contract review case study →How Punt migrated from DigitalOcean to AWS, overhauled their PHP Laravel backend, and scaled their platform 105% year-over-year using Aurora, ECS, and AWS MAP credits.
Read the Punt AWS migration case study →We helped a virtual mailbox provider turn manual processing into a fully automated, GenAI–powered pipeline that processes mail in minutes instead of hours.
Read the virtual mailbox automation case study →Get started
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