RAGs, Small Language Models, and Domain-Specific AI
The buzz surrounding generative AI and large language models (LLMs) has dominated headlines, but a quieter revolution is brewing in the form of RAGs (Retrieval-Augmented Generation), small
Haystac specializes in helping organizations turn complex, unstructured content into actionable information. With Haystac, you can:
Automatically orient, clean, normalize, separate, and identify content from multi-document files with zero setup or configuration.
Extract actionable data from policies, transactions, and operational files with ease.
Enable better decision-making for tasks like approving loans, invoices, or immigration applications.
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.
Digitize and cleanup | any multi-page PDF, TIFF, JPEG, etc.
Correlate | Auto Document Orientation, Separation, and Identification
Parse | Automatically parse information from structured, semi-structured, and unstructured documents.
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 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 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.
Haystac specializes in AI-driven content intelligence solutions, enabling organizations to develop and deploy domain-specific language models. Our next-generation AI-centric services transform unstructured content into actionable information, streamlining document-centric automation workflows and enhancing content-centric generative AI experiences.
Our proprietary AI-Ready-Content™ framework offers a containerized, stateless, and load-balanced environment, facilitating the creation of domain-specific language models within your secure infrastructure. This approach emphasizes the relevance of information over model size, ensuring efficient and effective AI deployments.
By automating processes such as document orientation, cleanup, normalization, separation, and identification, our solutions eliminate the need for manual setup or configuration. This automation extends to parsing information from various documents, including transaction records, policy manuals, and decision rationales, thereby enhancing decision-making processes.
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We help organizations across industries to manage and control unstructured data to build advanced AI solutions.
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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Embrace the future of intelligent content services with Haystac and experience the difference in AI-driven content management.
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The buzz surrounding generative AI and large language models (LLMs) has dominated headlines, but a quieter revolution is brewing in the form of RAGs (Retrieval-Augmented Generation), small
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