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Digitize and cleanup | any multi-page PDF, TIFF, JPEG, etc.
Correlate | Auto Document Orientation, Separation, and Identification
New advanced artificial intelligence architectures designed to employ various next generation AI transformers and models to process and generate multiple document modalities, such as language, text, layout, image, and semantics which can then be used to build models that can accurately predict various content outcomes.
We leverage models that can be fine-tuned to understand relationships and interactions between different input modalities, allowing them to capture richer contextual information and quickly perform tasks that leverage multiple data types.
Haystac is a comprehensive Enterprise Grade Unstructured Data Analytics Platform.
Haystac’s Document Transformation Service (DTS) leverages advancements in AI and machine learning to modernize optical character recognition (OCR), both machine print and/or handprint. DTS provides high performance (3-5 pages / second), high-fidelity recognition and can generate full-text searchable PDFs or dynamic JSON output that can be integrated into any environment. Our zero-setup initiative ensures DTS is the easiest technology to integrate, deploy, and setup in the industry.
Haystac’s Document Correlation Service (DCS) leverages advancements in AI and machine learning to modernize Digital Mailroom deployments. Separating and classifying inbound content from email servers, fax servers, watch folders, or scanners has been a traditional challenge and comes with a high cost of setup and maintenance. DCS’ custom language models and few-shot classification framework all but eliminate the upfront setup associated with automated document separation and document classification. Deployments that used to take weeks or months to setup and deploy can now be deployed in hours or days. DCS’ patent pending AI technology revolutionizes document separation and classification and is a perfect example of the practical use of trainable local language models to solve real world intelligent document processing problems. Our zero-setup initiative ensures DCS is the easiest technology to integrate, deploy, and setup in the industry.
Haystac’s Document Parsing Service (DPS) leverages advancements in AI and machine learning to parse and extract critical business information locked away in any structured form (w2, tax return, ID, claim, etc.), any semi-structured document (invoice, bill of lading, receipt, explanation of benefit, etc.), or any unstructured document (commercial lease, purchase contract, etc.). DPS’ patent pending AI technology revolutionizes document parsing and is a perfect example of the practical use of trainable local language models to solve real world intelligent document processing problems. DPS’ language model framework all but eliminates the upfront setup associated with automated document parsing and extraction. Deployments that used to take weeks or months to setup and deploy can now be deployed in hours or days. Our zero-setup initiative ensures DPS is the easiest technology to integrate, deploy, and setup in the industry.
Ideal for Information Governance, Security, Compliance, Privacy and other Content Analytics projects. Analyzes all born-digital files such as Office docs, PDFs, emails, images, over 500 file types. Classifies, extracts, finds and cleans ROT, connects to other systems, and much more. Essential when you have terabytes or even petabytes of ESI / machine-readable files to manage.
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Urna auctor sed dictum libero vestibulum orci a imperdiet quisque nullam nam.
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We help organizations across industries to manage and control unstructured data.
Significantly increases recognition performance and accuracy. Combines OCR / ICR in one pass.
Fully automates and eliminates any/all setup (physical and/or digital) relative to document separation and document identification.
Fully automates and eliminates any/all setup relative to parsing data from structured, semi-structured, and unstructured documents.
Minimizes any/all setup relative to discovering, identifying, analyzing, and leveraging insight and knowledge contained within business content.
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