vBrief provides architects and project managers with an AI‑enhanced platform to capture, track, and align project decisions, reducing rework caused by poor communication. Users import data via Outlook, PDFs or chats, review AI‑surfaced updates and conflicts, then deliver a live brief that consolidates source files, decision history, and schedules in a single, traceable view.
Funding
Funding not disclosed
Founders
Product
Problem
Architects and project managers often experience rework and scope drift because decisions are scattered across emails, PDFs, chat logs, and schedules, making it difficult to track changes, identify contradictions, and maintain a single source of truth.
Solution
vBrief offers a unified platform that aggregates project information from Outlook, PDFs, chats, and other documents into a searchable repository. AI highlights new updates, conflicts, and key decision points, while users retain full control over what is approved. Each decision is version‑controlled, attributed, and fully traceable, creating an auditable change history. The Live Brief provides real‑time access to the complete project timeline, including risk registers and change logs, ensuring all team members work from verified decisions. By keeping project data synchronized, vBrief reduces rework caused by miscommunication and enables faster issue resolution.
Target Audience
Primary users are architects and construction project managers who need to coordinate decisions across multidisciplinary teams and maintain accurate project documentation.
Features
- Outlook connector and bulk upload support for PDFs, chat transcripts, schedules, and other documents
- AI‑driven extraction that surfaces updates, contradictions, and relevant context for review
- Version‑controlled, attributed decision records with full traceability
- One‑click access to original source files, decision history, and team activity
- Live Brief view with real‑time risk registers, change logs, and synchronized project schedules
- Enterprise‑grade security on EU‑resident Microsoft Azure (ISO‑27001) with no data used for external model training