Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
A global multimodal logistics provider with a freight network of more than $3B, serving industrial customers across chemicals, metals, food-grade, and other specialized freight markets.
The workflow logic behind its OdysseyONE platform launch sat in legacy Microsoft Access and Visual Basic for Applications forms, which couldn't...
“Software engineering is changing faster than anything I have seen in my career. Autonomous agents change the economics of modernization and what an enterprise can realistically do. As an AI Builder, our work aims to put that capability into the systems businesses depend on every day. What Odyssey is doing is a preview of how enterprise engineering will run.”
Also reported by
Global multimodal logistics and supply chain management services.
Led solution delivery and rebuilt Odyssey's legacy forms into cloud-native applications using Devin.
Provided its AI software engineer, Devin, to automate development tasks, code generation, and testing for the project.
Odyssey Logistics's Legacy modernization is part of this use case:
Related implementations across industries and use cases
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Three people, 700 drivers, no road data—just spreadsheets. When a DOT probe hit, they had nothing. Now AI coaches every driver individually.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
A global multimodal logistics provider with a freight network of more than $3B, serving industrial customers across chemicals, metals, food-grade, and other specialized freight markets.
The workflow logic behind its OdysseyONE platform launch sat in legacy Microsoft Access and Visual Basic for Applications forms, which couldn't...
“Software engineering is changing faster than anything I have seen in my career. Autonomous agents change the economics of modernization and what an enterprise can realistically do. As an AI Builder, our work aims to put that capability into the systems businesses depend on every day. What Odyssey is doing is a preview of how enterprise engineering will run.”
Also reported by
Global multimodal logistics and supply chain management services.
Led solution delivery and rebuilt Odyssey's legacy forms into cloud-native applications using Devin.
Provided its AI software engineer, Devin, to automate development tasks, code generation, and testing for the project.
Odyssey Logistics's Legacy modernization is part of this use case:
Related implementations across industries and use cases
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Three people, 700 drivers, no road data—just spreadsheets. When a DOT probe hit, they had nothing. Now AI coaches every driver individually.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.