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features
design
support

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Description

Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation you get. Grooper was built for the organizations that can't accept that. Grooper is an intelligent document processing platform with a simple premise: you stay in control. Of the method: roughly 57 extraction techniques across rule-based and AI families, chosen per field, so the invoice number can use a pattern that returns the same answer every time while the handwritten note beside it uses AI. Of the AI's input: ReadScope lets you set exactly what the model reads for each field, the whole page, one region, or only values already extracted. The model can't misread what it was never shown. And of the evidence: every value keeps its receipt. Click any number and see the exact spot on the exact page it came from, which method produced it, what the AI was given to read, and who checked it. A number without its source is a rumor; Grooper's numbers show their work. It is one system, sole-authored in one codebase: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source region highlighted, redaction, and delivery. When you need something Grooper doesn't do natively, you configure it, express it, or code it through 61 documented extension points, without leaving the product. And the whole platform is agent-operable through MCP, the open protocol, so your own AI agents (not a captive vendor copilot) can build and operate Grooper. Run it your way: on your hardware, including AI models on GPUs you own, so regulated content never leaves the building; in your own cloud tenant under your governance; or hosted and managed by BIS. The c

Description

Lettria presents a robust AI solution called GraphRAG, aimed at improving the precision and dependability of generative AI applications. By integrating the advantages of knowledge graphs with vector-based AI models, Lettria enables organizations to derive accurate answers from intricate and unstructured data sources. This platform aids in streamlining various processes such as document parsing, data model enhancement, and text classification, making it particularly beneficial for sectors including healthcare, finance, and legal. Furthermore, Lettria’s AI offerings effectively mitigate the occurrences of hallucinations in AI responses, fostering transparency and confidence in the results produced by AI systems. The innovative design of GraphRAG also allows businesses to leverage their data more effectively, paving the way for informed decision-making and strategic insights.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Microsoft Azure Yes 
Azure AI Document Intelligence Yes 
Box Yes 
CMIS Yes 
Google Cloud Platform No 
IBM FileNet Content Manager Yes 
Laserfiche Yes 
Microsoft 365 Yes 
Microsoft Excel Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
Microsoft Power BI Yes 
Microsoft SharePoint Yes 
Microsoft Word Yes 
Nuxeo Yes 
OVHcloud No 
OnBase Yes 
OpenText ECM Yes 

Integrations

Amazon Web Services (AWS) Yes 
Microsoft Azure Yes 
Azure AI Document Intelligence No 
Box No 
CMIS No 
Google Cloud Platform Yes 
IBM FileNet Content Manager No 
Laserfiche No 
Microsoft 365 No 
Microsoft Excel No 
Microsoft OneDrive No 
Microsoft Outlook No 
Microsoft Power BI No 
Microsoft SharePoint No 
Microsoft Word No 
Nuxeo No 
OVHcloud Yes 
OnBase No 
OpenText ECM No 

Pricing Details

Subscription pricing based on volume.
Free Trial Yes 
Free Version No 

Pricing Details

€600 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

BIS

Founded

1986

Country

United States

Website

grooper.com

Vendor Details

Company Name

Lettria

Founded

2017

Country

France

Website

lettria.com

Product Features

Artificial Intelligence

Chatbot Yes 
For Healthcare Yes 
For Sales No 
For eCommerce No 
Image Recognition Yes 
Machine Learning Yes 
Multi-Language Yes 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation Yes 
Rules-Based Automation Yes 
Virtual Personal Assistant (VPA) No 

Data Extraction

Disparate Data Collection Yes 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

Electronic Data Capture

Audit Trail No 
CRF Tracking No 
Data Entry Yes 
Data Verification No 
Distributed Capture No 
Document Imaging Yes 
Document Indexing No 
Forms Management No 
Remote Capture No 
Study Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling No 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics Yes 
Named Entity Recognition Yes 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing Yes 
Part-of-Speech Tagging No 
Sentence Segmentation Yes 
Stemming/Lemmatization Yes 
Tokenization Yes 

OCR

Batch Processing Yes 
Convert to PDF Yes 
ID Scanning Yes 
Image Pre-processing Yes 
Indexing Yes 
Metadata Extraction Yes 
Multi-Language Yes 
Multiple Output Formats Yes 
Text Editor Yes 
Zone Selection Tool Yes 

Text Mining

Boolean Queries No 
Document Filtering Yes 
Graphical Data Presentation No 
Language Detection Yes 
Predictive Modeling No 
Sentiment Analysis Yes 
Summarization Yes 
Tagging Yes 
Taxonomy Classification Yes 
Text Analysis Yes 
Topic Clustering No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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