DOORS
📄 View Patent US12572504B.pdf | 📋 Read Technical Abstract
Intelligent File Organization for the Digital Age
Patent Abstract: "A process for reconciling electronic files, comprising: interrogating a plurality of electronic files; identifying intrinsic attributes from the plurality of electronic files; identifying extrinsic attributes from the plurality of electronic files; mapping the identified intrinsic and extrinsic attributes into a relational database; determining, by an artificial intelligence engine, relationships between the plurality of files based on the mapped intrinsic and extrinsic attributes; identifying candidate related files based on the determined relationships; and displaying a group of identified candidate related files."
📋 Download Illustrated Abstract
One Engine, Five Directions
DOORS Relational
Puts an entire file estate in order without moving any of it. Files are handled, labelled and indexed into groups the system derives for itself — related material gathered the way the user actually wants it, not the way a folder tree happened to grow. The relationships live in nested database structures built over storage that already exists, so everything stays on the devices, drives and cloud accounts where it sits today. Recognises the same person or object across unrelated files, labels each group by the relationship it found, and recovers what is stranded on legacy hardware.
DOORRS Matrix
Gives an organisation full mastery of its own data. The factual matrix is a searchable, cross-referenced record of every attribute found and every relationship inferred — including relationships nobody ever wrote down — so anything held anywhere becomes findable and usable on demand. It answers questions the records were never designed to answer, and it compounds: each pass leaves knowledge behind that sharpens the next one.
DOORS Refining
Finds and extracts the data set you actually want from inside a much larger one, then supplies it straight to the application that needs it. A law firm asks for every contract signed between two dates. An accounts team asks for the figures behind a tax return or a month's expense accounts. A model-training pipeline asks for clean examples of one thing and nothing else. The request arrives as an instruction and a specification — data types, content criteria, output format — and what comes back is curated, de-duplicated and already in the shape the receiving process requires. Where the material is sensitive, such as illness details drawn from patient records, the set can be de-identified before supply.
AIRSS
Artificial-intelligence-powered security built for the age of artificial intelligence. Almost every attack shows itself as a mismatch — content whose internal characteristics contradict its external presentation. AIRSS looks for the mismatch instead of matching a signature, which is how it reaches threats no signature has ever described, including those aimed at AI systems themselves.
AIMS
Makes long-running and agentic AI work practical. AIMS uses artificial intelligence to manage the orchestration of the synthetic electronic neural networks doing the work: it predicts what a job will need before the need arises, and separates objectives that pull against one another so each is solved with undivided focus instead of degrading the other. Work that outruns a single session is handed on intact — a continuity package carries context and progress to a successor, with the predecessor held available to answer questions through the overlap. Between jobs the system rests in a watchful state, calling in specialist modules only for as long as a task needs them and releasing them afterwards, so nothing idles at full power. A rules layer checks what enters the networks and what leaves them. The same architecture runs from a thermostat to a datacenter.
📱 Mobile Devices ↔ 💻 Computers ↔ ☁️ Cloud Storage
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🤖 AI Analysis Engine
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🗂️ Master Organized Directory
Patent Figure 1: Multi-device file reconciliation and organization system
🔍 Intelligent Discovery
DOORS automatically scans all your devices and cloud storage accounts, identifying files, photos, documents, and media scattered across different platforms and locations.
🧠 AI-Powered Analysis
Advanced artificial intelligence analyzes file content, recognizes faces in photos, identifies objects and locations, and understands document relationships to create meaningful connections.
🗂️ Smart Organization
Creates an intelligently structured master directory that groups related files, eliminates duplicates, and organizes everything according to your preferences and usage patterns.
🔄 Continuous Learning
The system learns from your organization choices and automatically applies your preferences to new files, becoming more accurate and personalized over time.
🔒 Privacy First
Facial recognition and content analysis happen locally on your devices, ensuring your personal data remains private while still delivering powerful AI capabilities.
⚡ Cross-Platform Sync
Works seamlessly across Apple, Windows, Android, and Linux systems, providing a unified view of your digital life regardless of device or platform.
How DOORS Works
- Discovery Phase: Scans connected devices and cloud storage for files
- Analysis Phase: Extracts metadata, analyzes content, and identifies relationships
- Intelligence Phase: AI engine determines file relationships and organization patterns
- Organization Phase: Creates master directory structure with smart categorization
- Reconciliation Phase: Eliminates duplicates and consolidates versions
- Learning Phase: Continuously improves based on user preferences and behavior
| Feature | Benefit |
|---|---|
| Multi-Device Scanning | Finds files across phones, computers, tablets, and cloud storage |
| Facial Recognition | Automatically identifies and groups photos by people |
| Object Detection | Recognizes pets, buildings, objects, and locations in images |
| Document Analysis | Understands document content and relationships |
| Duplicate Detection | Identifies and manages multiple versions of the same file |
| Version Control | Keeps track of file versions and helps choose the best one |
| Background Monitoring | Continuously organizes new files as you create them |
| Relationship Mapping | Connects related files across different projects and contexts |
Advanced Capabilities
Entity Recognition: DOORS goes beyond simple file organization by understanding the entities within your files. It recognizes family members, friends, colleagues, pets, locations, and objects, creating a comprehensive map of your digital life.
Relationship Inference: The system's patent-pending algorithm identifies relationships between files that aren't immediately obvious - connecting a photo from a vacation with related documents, emails, and other files from the same trip or project.
Professional Workflows: DOORS excels at organizing professional documents, automatically creating project folders, tracking document versions, and maintaining client file organization for legal, consulting, and creative professionals.
Universal Platform Support
DOORS works across all major operating systems and devices, providing a truly unified file management experience.
📱 iOS & iPhone
Native integration with Photos app and Files
🖥️ macOS
Seamless integration with Finder and iCloud
💻 Windows
Works with Explorer and OneDrive
🤖 Android
Integrates with Google Photos and Drive
🐧 Linux
Compatible with major distributions
☁️ Cloud Storage
Works with Dropbox, OneDrive, Google Drive
Real-World Applications
📸 Photographers & Content Creators
Automatically organize thousands of photos by location, people, and events. Eliminate duplicate shots and manage multiple versions of edited images.
👨💼 Business Professionals
Keep client files organized across devices, track document versions, and ensure important files are accessible from any device, anywhere.
👨👩👧👦 Families
Create a unified family photo library that automatically recognizes family members and organizes memories by events, locations, and people.
🎓 Students & Researchers
Organize research documents, papers, and references automatically. Keep track of project files across multiple devices and collaborate efficiently.
📁 Organizing Existing Collections
DOORS doesn't require starting from scratch. Point it at any existing folder — a hard drive full of unsorted photographs, a directory of downloaded documents, a cloud drive from an old laptop — and DOORS analyses what's already there, infers relationships between files, removes duplicates, and applies intelligent structure to what you already have. Perfect for photographers with years of unorganized archives, or anyone inheriting a chaotic digital collection.
🌐 Full Digital Life Migration
When changing devices, switching cloud providers, or consolidating years of digital accumulation across platforms, DOORS acts as the migration engine. Connect all your sources simultaneously — old phone, old laptop, multiple cloud drives — and DOORS pulls every file in, reconciles duplicates across all sources, identifies the best version of each file, and builds a clean, organized master set ready for the future. Complete digital life migration, from everywhere to one place, in a single operation.
Data Mining & Data Refining — The Analyzer Engine at Work
The Intrinsic and Extrinsic Attribute Analyzer Engine at the heart of DOORS doesn't only find and organise files — it reads what is inside them. This creates a powerful capability that extends well beyond file management into data mining and data refinement: the ability to find every file relevant to a specific task, extract the precise data within those files that the task requires, and deliver a structured dataset ready for use.
This capability is common across the entire DOORS patent family — the same engine that powers intelligent file organisation in DOORS also powers security scanning in AIRSS, and data processing in forthcoming DOORS Data Refining applications. It is the shared analytical core of the platform.
🔍 Example: Financial Document Mining
Tell DOORS you need all financial documents relevant to a set of accounts. The Analyzer Engine searches using both extrinsic attributes (file types, naming patterns, folder locations, date ranges, sender addresses) and intrinsic attributes (content: invoices, receipts, bank statements, expense records, account references, transaction data). DOORS locates every relevant document across all connected devices and drives — regardless of where it was saved, what it was named, or which cloud it lives on. Nothing that belongs in scope is missed; nothing outside scope is included.
⚙️ Example: Financial Data Refining
Having located the relevant documents, the engine extracts the financial data that constitutes part of the intrinsic attributes of those files — transaction amounts, dates, payees, VAT references, account numbers — and refines this into a structured, formatted dataset. The result is ready for import into accounting software, a spreadsheet, or a financial reporting system. What would take a person hours of manual collation, DOORS accomplishes automatically, accurately, and completely.
📚 Broader Applications
The same principle applies across any data-intensive task that requires finding and extracting from a large file corpus:
• Legal discovery: Find all documents relevant to a case; extract key dates, parties, and clauses
• Compliance documentation: Gather all records within a regulatory scope; verify completeness
• Research literature harvesting: Pull every paper on a topic; extract citations, methodologies, findings
• Medical records compilation: Locate all patient-relevant files; extract clinical data for reporting
Any task that requires "find everything about X and give me the relevant data from inside it" is a task for the DOORS Analyzer Engine.
The Future of File Management
Transform your digital chaos into organized clarity with DOORS.
Market Opportunity — Three Growing Segments
DOORS addresses three distinct and simultaneously growing markets with a single patented architecture. Each segment has strong independent tailwinds; DOORS serves all three.
🏠 Consumer: Photo & Personal File Management — ~$3.5B and Growing
The global photo management software market was valued at approximately $3.5 billion in 2025 and is projected to reach $7.8 billion by 2034, growing at a CAGR of around 9% (Dataintelo, 2025). Over 1.4 trillion photographs are taken globally each year — growing at approximately 10% annually — creating a perpetually expanding need for intelligent organisation. AI-powered features including facial recognition, smart albums, and natural language search are driving consumers to upgrade to premium subscriptions, with providers like Google, Apple, and Amazon all investing heavily. DOORS brings this level of AI-native organisation to any file type, on any device, including fully local and privacy-first deployments that cloud-dependent competitors cannot offer.
🏢 Business: Document Management Systems — $10.5B growing to $21.4B by 2031
The global document management systems market stood at $10.48 billion in 2025 and is forecast to reach $21.39 billion by 2031 at a CAGR of 12.6% (Mordor Intelligence, January 2026). North America commands 37.5% of global spend. Regulatory pressure is a major driver: the SEC's updates to Rule 17a-4 are forcing financial firms to adopt tamper-proof digital archiving by mid-2026, and the EU's Digital Operational Resilience Act (DORA) mandates robust digital record-keeping across financial services. These mandates are compressing adoption timelines and creating urgent, funded procurement demand for intelligent file management solutions.
🏭 Enterprise: Intelligent Document Processing — $10.6B growing to $91B by 2034
The intelligent document processing (IDP) market — which encompasses AI-powered data extraction and document workflow automation — was valued at $10.57 billion in 2025 and is projected to reach $91 billion by 2034 at a CAGR of 26.2% (Fortune Business Insights, 2025). The U.S. government alone committed $3.3 billion in AI research and development in 2025, with document intelligence a core component. Gartner forecasts global AI-driven software spending — including document management platforms — to reach $297 billion by 2026. The DOORS Intrinsic/Extrinsic Analyzer Engine, with its ability to find relevant files and extract structured data from within them, directly addresses the data mining and refining capabilities enterprises are procuring at scale.