Hyperscience is an enterprise AI platform designed to automate document processing and transform unstructured content into structured, actionable data. It leverages machine learning to read, understand, and process diverse data and documents at scale.
Key Features:
- Intelligent Document Processing (IDP): Automates data extraction from various document types.
- Machine Learning Architecture: Built on an ML architecture for high accuracy and scalability.
- Generative AI Integration: Provides rich business context for training AI models.
- High Accuracy Rates: Achieves accuracy rates of 99.5%.
- Secure and Compliant: FedRAMP High authorized, ensuring secure data handling.
- Extensible Integration: Integrates with downstream systems and processes.
Use Cases:
- Workflow Automation: Streamlines manual, siloed processes into automated workflows.
- Data Extraction: Automatically labels, annotates, and structures complex documents.
- AI Model Training: Creates high-quality data to train AI models with business-specific accuracy.
- Invoice Processing: Automates invoice processing for operational efficiency.
- SNAP Benefit Processing: Automates SNAP benefit processing to meet H.R.1 mandates.
Target Users:
- Enterprises across various industries, including financial services, healthcare, insurance, and public sector.
- Federal, state, and local agencies.
Unique Selling Points:
- Model-first approach for unparalleled accuracy, flexibility, and scalability.
- Ability to teach GenAI the language of your business with proprietary data.
- Proven performance with recognition from tier-one analyst firms.
