Process Street
Process Street is an AI-powered compliance operations platform that automates complex workflows, enforces standards, and tracks audit data in real time. Teams use it to create structured SOPs, assign tasks, collect data, and monitor execution with intelligent oversight.
From onboarding and audits to vendor management and document control, Process Street ensures every step is followed and every action is logged. Built for regulated industries like financial services, healthcare, and manufacturing, it supports frameworks such as ISO, SOC 2, SOX, and HIPAA.
With role-based permissions, audit logs, and powerful integrations, Process Street replaces static documents, spreadsheets, and manual processes with a single automated system of record. Use AI to streamline approvals, catch risks early, and generate audit-ready evidence.
Trusted by teams at Cargill, DoorDash, Farmers Insurance, and Hartford Healthcare.
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LogicalDOC
LogicalDOC helps organizations around the world gain complete control over document management. Focusing on business process automation and fast content retrieval, this premier document management system (DMS) allows teams to create, collaborate, and manage large volumes of documents and stores valuable company data in a centralized repository. System features include a drag-and-drop document upload, forms management, optical character recognition (OCR), duplicate detection, barcode recognition, event logging, document archiving, integrated document workflow, and so much more.
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Mistral Document AI
Mistral Document AI is an enterprise-grade document processing solution that combines advanced Optical Character Recognition (OCR) with structured data extraction capabilities. It achieves over 99% accuracy in extracting and understanding complex text, handwriting, tables, and images from various documents across global languages. It can process up to 2,000 pages per minute on a single GPU, offering minimal latency and cost-efficient throughput. Mistral Document AI integrates OCR with powerful AI tooling to enable flexible, full document lifecycle workflows, making archives instantly accessible. It supports annotations, allowing users to extract information in a structured JSON format, and combines OCR with large language model capabilities to enable natural language interaction with document content. This allows for tasks such as question answering about specific document content, information extraction, and summarization, and context-aware responses.
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