Moonoia: IDP Software Vendor

Belgium-based IDP vendor specializing in deep learning-powered document processing for handwritten text and complex documents that defeat traditional OCR.

Overview

Moonoia started as Soludoc, a document processing bureau founded in 2011. The company spent years processing Belgian medical insurance claims manually, which gave it direct exposure to where OCR breaks down: handwritten physician notes, illegible prescriptions, and mixed-script forms. That operational insight drove the 2015 development of docBrain, the company's deep learning platform for document extraction.

In 2018, Moonoia launched docBrain as a multi-purpose AI platform, transitioning from a local BPO provider to an international AI software vendor. By 2016-2017, docBrain point solutions were already processing over 100 million inquiries annually, achieving up to 80% straight-through processing on medical claim forms. In January 2020, the company spun out from Soludoc CVBA to become moonoia SA, backed by Belgian financial fund Cayman Group.

As Sînziana Andronic-Mattens of Moonoia stated: "Deep learning and neural networks allowed Moonoia to achieve unprecedented data accuracy and outperform human reading capabilities for straight-through processing."

The company's stated mission is to "help create a world where all unstructured data becomes machine readable, relevant and process-ready without human intervention."

Key features and benefits

Moonoia's core differentiation is deep neural network (DNN) extraction on document types that template-based and traditional optical character recognition (OCR) tools cannot handle reliably. The platform offers AI Recognition as a Service, with both ready-to-use and ready-to-train neural network models, so organizations can deploy pre-built models for common document types or train on their own document corpus.

The human-in-the-loop validation layer sits between AI extraction and downstream systems, routing low-confidence fields for human review while passing high-confidence extractions directly to process automation. This architecture is what enables the 70%+ straight-through processing rates on real-world medical claims, where field legibility varies significantly across submissions.

Integration with RPA platforms is a deliberate design choice. docBrain extracts meaning from text, converts it to structured digital values, indexes and classifies content, then passes output to RPA digital workers for downstream processing. The Blue Prism Technology Alliance Program partnership formalizes this pattern, positioning docBrain as the document AI layer for enterprises already running Blue Prism automation.

Multilingual support includes both handwritten and typed Arabic script, extending the platform's addressable market to MENA-region document workflows where most IDP vendors offer limited coverage.

Use cases

Medical claims processing

Moonoia's anchor use case is also its most validated. The company processes approximately 8 million medical claims annually for a single Belgian health insurer, achieving over 98% accuracy on handwritten medical attestations and reducing average turnaround from a 5-day cycle to under 24 hours. The DM Awards recognized this deployment as a project of the year for AI-driven medical form processing.

The scale matters for evaluation purposes: 8 million claims per year from a single customer is not a pilot. It demonstrates that the platform sustains accuracy at production volume on genuinely difficult inputs. As Hervé Doyen, Head of Integration and Support at Moonoia, noted about the source documents: "Sometimes it's completely illegible. Even human workers could not make out what was written." The platform's 80% reduction in manual handling at the Partena Group deployment illustrates the operational impact.

For health insurers and payers managing high volumes of handwritten claim submissions, this track record is the primary reason to evaluate Moonoia over generic intelligent document processing platforms that prioritize printed and structured forms.

Arabic document processing

The platform handles both handwritten and typed Arabic script, a capability gap for most IDP vendors. Organizations expanding into Arabic-speaking markets can use Moonoia's pre-trained Arabic models rather than collecting and annotating training data from scratch. This reduces time-to-deployment for MENA compliance workflows where document processing must handle right-to-left script and mixed Arabic-Latin content.

RPA workflow enhancement

The Blue Prism partnership reflects a broader integration strategy: enterprises with existing RPA investments need document AI that slots into their current architecture rather than replacing it. docBrain functions as a discrete component within hyperautomation pipelines, handling classification and extraction for document-centric workflows that RPA bots cannot process alone. This positions Moonoia for mid-market and enterprise segments where RPA adoption is already established and the gap is document understanding, not process orchestration.

Technical specifications

Company information

Moonoia targets healthcare, pharmaceutical, insurance, banking, and public services as primary verticals. These sectors share two characteristics: high volumes of handwritten documents and regulatory requirements for audit trails and extraction accuracy. The company's origin in healthcare BPO gives it domain knowledge that pure-software IDP vendors typically lack.

CIO Applications Europe named Moonoia among its Top 10 Cognitive Companies in March 2019, recognizing the focus on documents that defeat conventional OCR. The Cayman Group investment in 2020 funded acceleration of the docBrain platform and go-to-market expansion beyond Belgium.

• Website: moonoia.com
• Email: info@moonoia.com

Resources

• Vendor Website
• docBrain Platform
• Deep Learning for Straight-Through Processing
• SourceForge Product Listing