Solvas Digitize
Solvas Digitize is an intelligent document processing solution designed to help financial organizations manage complex documentation with greater accuracy and efficiency. By fully automating document intake, data extraction, validation, and reconciliation, it transforms unstructured, semi-structured, and structured documents into clean, ready-to-use information. The system centralizes every step of the workflow, allowing teams to control extraction quality, resolve missing data quickly, and eliminate manual errors. Its above-industry-average accuracy delivers reliable digitized data that supports faster, more strategic decision-making. As a managed service, Solvas Digitize combines advanced technology with expert support, reducing operational burden and eliminating the need for large capital investments. It is built to handle high-volume, high-complexity documents across investor reporting, accounting, compliance, and portfolio management use cases.
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Moonoia docBrain
The docBrain platform brings together machine learning, data science, solution engineering and DevOps for document-centric productive purpose. Deep learning technology allows you to train AI models from the bottom up and create unique solutions that address your specific document challenges. Use docBrain's pre-trained models to access years' worth of learning and ensure a minimum return on investment prior to any training. Whether you train the AI yourself or use the models off-the-shelf, the solutions you deploy with docBrain will easily integrate with your business systems. docBrain was created in-house to solve Moonoia’s own document processing challenges created mainly by error-prone and costly manual data validation that was slowing down end-to-end processes, making automation impossible. Market-available OCR technologies were unable to achieve the accuracy levels required for straight-through processing, especially for handwritten, unstructured or low-quality documents.
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Parascript
Ensure faster, more accurate mortgage and loan document processing automation with Parascript software; automate insurance document-based tasks for the intake and review of healthcare insurance data. Optimize health plan process efficiencies, increase data accuracy and reduce costs through document processing automation.
Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation, and data entry for payments, lending, and AP/AR processes.
Every year, over 100 billion documents involved in banking, government, and insurance are processed by Parascript software.
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Blox.ai
Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.
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