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 built OneVolume for Tennyson Systems on AWS. Claude reads each software contract in 7.2 seconds, where an analyst used to spend 15 to 30 minutes.
Read the Tennyson Systems case study →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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