Box vs Microsoft
Relationship
Box FY2025 Form 10-K, Competition section.
6 of 6 capabilities — Shares agent orchestration, document extraction, knowledge retrieval and 3 more.
Ludbee capability tags · from the product recordsShared product type — Both ship AI agent, agent platform, application and 2 more.
Ludbee product recordsLarger scale — Microsoft: $3.7T market cap, against Box's $4.8B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateNamed in filing — “Our primary competitors in the content management market include, but are not limited to, Microsoft (SharePoint) and OpenText (Documentum).”
sec.gov · checked 2026-09-18Search our internal documents — Rivals on this job — Point a tool at a company's own documents, wikis and tickets and get answers with citations back.
Ludbee needs vocabulary · the scope on the sourced edgeAligned comparison
Capability overlap
Shared · 6
Not verified for Box · 22
Recorded for Microsoft. Box’s product records say nothing either way — a missing record is not a missing capability.
Box has no capability Microsoft lacks, among the 6 recorded here.
Products, side by side
Hand-checked pairing
Box
Application
No-code agentic workflow-automation platform that orchestrates intelligent content workflows -- contract approvals, claims processing, document routing -- combining AI agents, data extraction and document processing end to end.
Agentic data extraction service that pulls structured fields from documents, spreadsheets, images and video in Box using OCR and reasoning models, and writes the results back as Box metadata or returns them via API.
AI agent
Agents built on the Box platform that combine frontier models from OpenAI, Anthropic and Google with an organization's own content, automating multi-step tasks such as threat analysis and contract review while respecting Box's enterprise permissions.
Agent platform
No-code environment where Box administrators create, configure, test and deploy custom AI agents scoped to selected documents and models, and control which users can access each agent.
Developer tool
Model Context Protocol server that lets external AI agents search, read and extract metadata from content in Box while enforcing the calling user's existing Box permissions, available as a Box-hosted remote server and as a self-hosted Python project.
Platform
Generative AI layer across Box's content platform that answers questions over stored documents, summarizes files and folders, and extracts structured data from contracts and forms; agentic, multi-step work is Box AI Agents, recorded separately.
Microsoft
Application
Integrated development environment for building conversational bots, integrating with Microsoft Copilot Studio for low-code bot building.
AI assistant embedded in Word, Excel, PowerPoint, Outlook and Teams that grounds its answers in a customer's own business data and ships with pre-built agents.
Microsoft's assistant for chat, search and work inside Windows and the Microsoft 365 apps.
Security-operations assistant that summarises threat signals and helps analysts detect, investigate and respond to incidents in natural language.
AI agent
Agentic feature of Microsoft 365 Copilot that plans and executes multi-step, multi-app tasks end-to-end and returns a finished deliverable rather than a draft.
Agent platform
Low-code platform for building, connecting and publishing custom conversational and autonomous AI agents across Microsoft 365, the web and business channels.
Developer tool
Coding assistant and agent inside the editor, the CLI and GitHub itself.
Platform
Azure's platform for building, evaluating and deploying model-based applications and agents.
No counterpart
Microsoft sells these in a stack layer with no product recorded for Box yet — nothing on the other side to compare them against.
API service
Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.
Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.
Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.
Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.
Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.
NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.
End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.
Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.
Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.
Real-time and batch text translation API supporting 100+ languages.
Image analysis, OCR, spatial analysis and face detection as an Azure API service.
Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.
Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.
Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.
Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.
AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.
Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.
Data service
Enterprise retrieval service providing hybrid keyword and vector search plus RAG grounding over an organisation's own data, also surfaced inside Microsoft Foundry as Foundry IQ.