Ellby
Invoice processing
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
- >55% reduction in customer onboarding time
- Invoice automation rate increased from <60% to >94%
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
An intelligent document processing provider enables organizations globally to automate information extraction from high volumes of physical documents.
Reliance on traditional machine learning models required extensive technical setup and manual data annotation for every new document type. Even with...
“We used open-source models that we fine-tuned for specific document types and schemas, and it took a lot of engineering effort to do that. Even when we eventually created a self-service model for our customers, they still needed to produce their own training data sets.”
AI platform for automated data extraction and intelligent document processing.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
New document types took weeks of manual coding. GenAI cut setup to minutes, letting teams refine extractions via natural language.
An intelligent document processing provider enables organizations globally to automate information extraction from high volumes of physical documents.
Reliance on traditional machine learning models required extensive technical setup and manual data annotation for every new document type. Even with...
“We used open-source models that we fine-tuned for specific document types and schemas, and it took a lot of engineering effort to do that. Even when we eventually created a self-service model for our customers, they still needed to produce their own training data sets.”
AI platform for automated data extraction and intelligent document processing.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Legacy OCR forced manual checks on 40% of invoices. Claude now interprets diverse layouts without static templates.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.