Find an AI Automation Partner Who Writes Production Code

Many small manufacturers first look at large consulting firms for an AI transformation. These firms assign junior analysts, spend months on discovery, and deliver a PowerPoint strategy deck. The final bill is substantial, but you are left with no working software to solve your immediate problem.

Next, teams try off-the-shelf SaaS tools for document processing or automation. The problem is that these tools are generic. They cannot handle the non-standard PDF layouts from your top 5 suppliers or integrate with your industry-specific ERP. You end up paying a per-document fee for a tool that only works on 60% of your volume, forcing your team to manually handle the rest.

A custom metal fabricator tried an OCR tool that failed on 40% of their incoming quotes because it could not parse tables with merged cells. They then hired a freelancer who built a Python script. The script was undocumented, had no error handling, and broke permanently when a key supplier changed their PDF format. They were back to full-time manual entry in two months, having wasted time and money.

Syntora's approach typically starts by analyzing a sample of your historical documents, such as purchase orders or material specs. From this set, we define the key data fields for extraction. This analysis guides the creation of custom prompts for the Claude API, which handles varied document layouts effectively without requiring a separate model for each supplier.

The delivered system would typically be a Python application built with the FastAPI framework. When a new document arrives, an endpoint would accept the file, use an OCR service to extract raw text, and then send it to the Claude API. Syntora often uses httpx for asynchronous API calls to optimize the processing flow. All results would be written to a Supabase Postgres database for a permanent, queryable record.

The application would be deployed on AWS Lambda. This serverless architecture helps manage infrastructure costs by charging only for execution time, and it removes ongoing server management overhead. A Supabase database would provide a secure, reliable data store with a built-in API suitable for future integrations.

Finally, we connect the system to your existing workflow. For example, a new purchase order arriving in an email inbox could automatically trigger the Lambda function. Once processed, the structured data would be pushed directly into your Fishbowl or NetSuite ERP via their native API. Syntora delivers the full source code in your company's GitHub, including a runbook for monitoring and maintenance.