Weld IT needed a way to modernize how welding documentation was processed, validated, and reused across its platform. These documents are essential, but they are also time-consuming and error-prone to handle. Each customer uses different formats, templates, and vendors, making standardization difficult and scaling even harder.
As Weld IT looked to strengthen its platform and improve the value delivered to its customers, it became important to streamline how this information was handled and create a more consistent foundation for future growth.
The challenge
Weld IT's customers must manage complex welding standards documents that traditionally require hours or days of manual review and data entry. The problems were consistent across industries:
- Large, technical documents had to be read and interpreted manually
- Key data had to be extracted and re-entered into multiple systems
- Formatting and structure differed between vendors and regions
- Errors and inconsistencies were hard to detect
Cloudya's role
Cloudya worked with Weld IT as their AWS partner and delivery lead, helping translate business goals into a production-ready cloud solution.
Cloudya enlisted the help of Cloud Bridge, who contributed its deep AI engineering expertise, while Cloudya was responsible for ensuring that the solution:
- Fit Weld IT's business model and product roadmap
- Was secure, compliant, and commercially viable
- Could be operated, scaled, and supported in production
- Was built inside Weld IT's existing AWS environment
The solution
Together, Weld IT, Cloud Bridge, and Cloudya built a generative AI solution on AWS using Amazon Bedrock and Claude Sonnet 3.7.
The system automatically processes scanned and digital welding documents, extracting structured metadata in JSON format without relying on traditional OCR pipelines. Custom AI prompts ensure that key welding parameters, certifications, and references are captured accurately and consistently.
To meet enterprise and regulatory requirements, the platform runs inside Weld IT's own AWS environment with:
- Strict IAM access controls
- Multi-tenant data separation
- Secure, managed AI model access through Amazon Bedrock
The business impact
Initial results show that the solution reduces manual data entry time by 80–90 percent, while also cutting down on human error. For Weld IT and its customers, this means:
- Faster onboarding of new welding projects
- Lower administrative costs
- More reliable and standardized compliance data
- A platform that can scale to larger enterprise clients
What this enables next
Instead of spending days interpreting and retyping documents, customers can now review and validate AI-extracted data in hours. With structured welding data available in a consistent format, Weld IT can go further. The platform is designed to support future automation such as:
- Automatically generating welding standards documents
- Pre-populating compliance forms
- Supporting larger and more complex enterprise environments
Why Cloudya
Cloudya helped turn advanced generative AI into a commercially usable product for Weld IT. By owning the AWS environment, security model, deployment architecture, and operational setup, Cloudya ensured that the solution was not just a prototype, but something Weld IT could run, sell, and scale as part of its core platform.
The result is a modern, AI-powered compliance engine built on AWS that gives Weld IT a clear competitive advantage in a demanding global market.
