Box vs Veeva Systems
Relationship
Box Extract and Veeva Falcon MLR do comparable work on document extraction; both also serve buyers who need to extract facts from text; larger scale (public).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
5 of 6 capabilities — Shares agent orchestration, document extraction, knowledge retrieval and 2 more.
Ludbee capability tags · from the product recordsShared product type — Both ship AI agent, agent platform and application.
Ludbee product recordsLarger scale — Veeva Systems: $45.5B market cap, against Box's $4.8B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 5
Not verified for Veeva Systems · 1
Recorded for Box. Veeva Systems’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Box · 5
Recorded for Veeva Systems. Box’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
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.
Veeva Systems
Application
An embedded suite of AI agents for Veeva Vault PromoMats, including a Quick Check Agent for automated document quality checks and a conversational Content Agent that guides reviewers, plus configurable custom agents.
Conversational AI brand engagement platform for life sciences that answers patient and HCP questions on brand sites and over email using MLR-approved content, and captures the resulting engagement as commercial evidence.
AI agent
Agentic labor platform providing standard biopharma AI agents that execute end-to-end clinical, regulatory and safety processes such as TMF intake and QC, health authority correspondence, and safety case triage.
Agentic medical, legal and regulatory review product that automatically checks promotional content for compliance across markets, anchors claims to references, and connects into the Veeva PromoMats review workflow.
Agent platform
Agentic layer across Veeva's Vault platform, with industry-specific agents that reach a life-sciences customer's regulated documents, CRM records and workflows directly rather than through an export.
No counterpart
Box sells these in a stack layer with no product recorded for Veeva Systems yet — nothing on the other side to compare them against.
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.