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Description
Dedoctive delivers auditable AI solutions that facilitate defensible decision-making by anchoring results in reliable evidence and offering comprehensive source-level provenance, while also managing workflows with human oversight.
This innovative platform transforms intricate documents, data, tables, and images into trusted, source-linked knowledge, enabling teams to construct AI workflows governed by human-in-the-loop safeguards, ensuring that every response is based on verified sources, every process is transparent, and every assertion can be traced back to its origins. As a result, the outputs generated by AI are not only applicable and verifiable but also defensible in environments where conventional AI tools fall short.
Dedoctive is a neuro-symbolic AI platform that integrates curated knowledge models and controlled BPMN workflows, providing complete provenance links, Response Maps, multi-format data ingestion, tailored reports, and formal diagrams. It operates in conjunction with large language models without the need for additional model training, empowering organizations with enhanced control over the information the AI utilizes, the reasoning processes it employs, and the methods through which outputs are validated. Furthermore, this capability allows for a more robust and reliable application of AI across various domains.
Description
Mistral OCR 4 is an advanced model designed for extracting and comprehending documents, specifically tailored for use in enterprise search, retrieval-augmented generation, domain-specific retrieval frameworks, and high-quality document intelligence applications. It efficiently extracts and organizes content from a wide variety of document types, surpassing just clean text and tables to deliver a detailed structured representation of each individual page. In addition to the extracted text, OCR 4 offers precise bounding boxes, classifications for different text blocks, and inline confidence scores, enabling downstream systems to grasp not only the content of the document but also the spatial arrangement of each element, the significance of these elements, and the model's confidence level in each area. The inclusion of bounding boxes facilitates in-context highlighting and the creation of dependable data pipelines, while the categorization of block types and confidence metrics aids in source-grounded citations, redactions, and the process of human-in-the-loop verification. Capable of processing popular enterprise formats such as PDF, DOC, PPT, and OpenDocument, OCR 4 also boasts support for 170 languages across ten distinct language groups, making it a versatile tool for global applications. This extensive language support enhances its usability in diverse international contexts, further solidifying its role as a pivotal resource for document management and analysis.
API Access
Has API
API Access
Has API
Integrations
Mistral AI
Claude
Gemini
Google Maps
JSON
Llama
OpenAI
Python
Integrations
Mistral AI
Claude
Gemini
Google Maps
JSON
Llama
OpenAI
Python
Pricing Details
Free micro-pilot
Free Trial
Free Version
Pricing Details
$2 per 1000 pages
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Collaboration Tools Ltd
Founded
2008
Country
United Kingdom
Website
dedoctive.ai/
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/ocr-4/