Each document contains design elements for understanding. Understanding visual context is critical for accurate document processing.
AI Models fail because they can’t ‘see’ the document. To understand all the information being presented, the AI needs to understand how a document’s layout conveys meaning.
Less data required: A new model can be trained with as little as 200 documents.
More affordable: Solving new challenges requires less time or resources.
Adaptability: VEGA can process new document types and designs that it has never seen before. This means it can can work with smaller data sets than previously thought possible using AI.
Competitor 1 has been the market ‘leader’ for more than 15 years. Their core business is resume parsing
Competitor 1 has a 30+ year history and over 1,000 employees. Their core business is information extraction.
In 2019, researchers from Facebook, Google, and two universities developed a new benchmark for testing AI language a new benchmark for testing AI language understanding – SuperGLUE.
New AI models are tested against this benchmark to measure AI advances in language tasks.
A major breakthrough came in early 2021 with test results showing machines are now better than humans at language understanding tasks.
- Key fields and clauses: Dates, parties, indemnity, milestones, payments, etc.
- Different contract types: Engagement agreements, NDAs, Lease Agreements, Employment Contracts, etc.
- Legal documents: Legislation, policies, stock exchange filings, government forms, amortisation schedules.