Architecture, engineering, and construction projects fail when teams work in silos. Version mismatches, delayed approvals, and scattered feedback loops drain time and increase risk. EXXY AI Collaboration — part of EXXY AI Studio by Unimelabs — replaces fragmented communication with a unified collaboration workspace. Architects, engineers, contractors, and operations leaders share live sessions, track changes, and approve deliverables in one place. The platform keeps AI actively involved during every edit, ensuring suggestions stay grounded in project context and compliance standards.
What is EXXY AI Collaboration?
EXXY AI Collaboration is the shared workspace inside EXXY AI Studio where project teams review, edit, and approve documents, models, and reports in real time. Every participant sees live changes, threaded comments, and AI suggestions within a single interface. The system maintains project context across sessions so users never lose track of decisions or compliance references.
Traditional AECO workflows rely on email chains, marked-up PDFs, and separate review cycles. Teams spend hours reconciling conflicting feedback and tracking which version contains the latest approvals. EXXY AI Studio eliminates this friction by centralizing all collaboration inside a secure, cloud-native environment. Users join live sessions tied to specific projects, models, or deliverables. The workspace synchronizes edits instantly across all connected devices. Comments attach directly to elements, pages, or model components. AI agents monitor the session, surface relevant code clauses, and suggest corrections based on uploaded standards. Every action feeds into a unified audit trail that supports liability management and quality control.
How does real-time editing work?
Live editing synchronizes every cursor movement, text change, and annotation across all active users instantly. The platform uses high-performance state synchronization to prevent conflicts and preserve edit history automatically. Participants see each other's presence indicators and can follow specific reviewers without disrupting the session.
Real-time collaboration requires more than simple file sharing. It demands precise conflict resolution, persistent version tracking, and low-latency updates. EXXY AI Studio achieves this through a dedicated synchronization engine that queues changes, resolves overlaps, and broadcasts updates within milliseconds. When a structural engineer modifies a load specification, the architect sees the change immediately. Comments appear anchored to exact locations on drawings or within text blocks. Users can pin discussions, resolve threads, and mark items as reviewed. The system never overwrites another participant's work — instead, it merges inputs sequentially and flags potential conflicts for manual review. This approach keeps teams aligned during fast-paced design charrettes and compliance audits.
Why use branching sessions for design reviews?
Branching sessions let teams explore alternative solutions without disrupting the primary project baseline. Each branch operates as an isolated workspace where reviewers test scenarios, compare outcomes, and document trade-offs before merging changes back to the main file.
Major projects rarely follow a single design path. Clients request multiple options, engineers evaluate different structural systems, and contractors assess constructability variations. EXXY AI Studio handles this complexity through dedicated branching sessions. A BIM manager creates a branch to test fire-rated assembly alternatives. Another team member spins up a parallel branch to analyze daylighting performance under different glazing schedules. Both sessions retain full AI context, code references, and historical decisions. Reviewers leave independent comments and approvals. Once the team selects the preferred option, they merge validated changes back into the main workspace. The system preserves a complete decision log, ensuring every alternative receives proper evaluation before final approval.
How does the AI agent stay involved?
The AI agent remains active throughout every collaboration session, monitoring edits, answering technical questions, and surfacing relevant compliance data on demand. It tracks context changes and adjusts recommendations as the document or model evolves.
Most AI tools disappear after generating an initial response. EXXY AI Studio keeps the agent present as a continuous collaborator. When a reviewer highlights a corridor width, the AI instantly cross-references IBC egress requirements. If a team member questions a material specification, the agent retrieves embedded EPD data and fire-rating standards. The system logs every query and response, building a searchable knowledge base for future reference. Users can ask the AI to summarize unresolved comments, flag missing citations, or draft response templates for client questions. The agent never overrides human judgment — it provides structured suggestions, cites exact regulatory clauses, and waits for explicit approval before applying changes.
What happens during human-in-the-loop approvals?
Every AI-generated finding, calculation, or recommendation requires explicit user validation before finalizing. Reviewers approve, reject, or annotate each item, and the system records the decision with timestamps and user credentials for full auditability.
AECO professionals cannot rely on automated outputs for liability-sensitive decisions. EXXY AI Studio enforces a strict approval workflow that places experts in control of every deliverable. When the AI flags a non-compliant element or suggests a design adjustment, the item appears in a dedicated review queue. Users examine the evidence, check cited standards, and compare against project requirements. They accept the finding, reject it with a written rationale, or request further analysis. Approved items move to the export pipeline. Rejected items trigger a feedback loop that refines future AI suggestions. The system captures every action, creating a defensible record for regulators, clients, and internal quality audits.
How does it replace fragmented communication?
The platform consolidates drawings, specifications, meeting minutes, and compliance checks into one shared environment. Teams stop juggling separate tools and start tracking decisions in a single, searchable workspace with built-in version control.
Fragmented communication causes costly delays and compliance gaps. Architects email revised details to contractors. Engineers forward structural calculations to BIM coordinators. Project managers compile scattered feedback into status reports. EXXY AI Studio removes this overhead by housing every deliverable in one location. Users upload reference documents, attach model files, and link meeting transcripts directly to the collaboration session. Comments stay anchored to their source material. Decision histories roll forward automatically when files update. The system eliminates duplicate files, lost attachments, and misaligned review cycles. Team members access the same source of truth regardless of location or time zone.
Can distributed teams use it effectively?
Yes, the workspace supports global teams through cloud-hosted synchronization, multi-language interfaces, and asynchronous review capabilities. Participants join from any device, review updates on their schedule, and maintain full context when returning to active sessions.
Modern AECO firms operate across multiple offices, time zones, and partner networks. EXXY AI Studio accommodates this reality without requiring specialized hardware or complex software deployment. Cloud hosting ensures low-latency access for international users. The interface supports multiple languages, allowing teams to toggle between primary and secondary text outputs. Asynchronous reviewers receive notifications when new comments or approvals require attention. They open the session exactly where the last participant left off, complete with updated AI suggestions and resolved threads. The system handles bandwidth variations gracefully by optimizing document rendering and caching recent changes locally.
How is work tracked and audited?
Every edit, comment, approval, and AI interaction generates a timestamped log stored with cryptographic integrity. Administrators export complete activity reports, filter by user or document, and verify compliance workflows for internal or external audits.
Liability management demands transparent, tamper-resistant records. EXXY AI Studio captures every collaboration event in a structured audit trail. The system logs who made each change, when it occurred, which AI references were consulted, and how reviewers responded. Administrators generate compliance reports with one click. They filter activities by project phase, discipline, or approval status. The platform supports role-based access controls, ensuring only authorized personnel can modify critical documents. External auditors receive read-only access to specific sessions without exposing unrelated project data. This level of transparency satisfies regulatory requirements, supports dispute resolution, and strengthens client trust.
How it stays consistent under the hood
Real-time multiplayer requires rock-solid infrastructure. EXXY® AI Studio uses:
- CRDT-based document state so concurrent edits never conflict.
- WebSocket transport with reconnection and replay.
- Server-authoritative AI calls so two clients can't fire the same prompt twice.
- Role-checked operations at the server, never trusted to the client.
These primitives are the same ones used in agentic orchestration and meeting assistants, so the whole platform behaves predictably under load.
Use cases
- Design review: Architect, engineer, and project manager interrogate a BIM model together with one shared agent.
- Proposal writing: Two founders and a writer co-draft a tender response with the agent generating sections live.
- Onboarding: A new hire shadows a senior reviewer in a live AI chat about a complex past project.
- Client workshop: A facilitator runs a live brainstorm; the agent summarises every 10 minutes.
Privacy and sharing
Shared chats default to private to the team. You can invite external collaborators with link-based access (revocable) and noindex is enforced on every share. See our robots policy and AI training preferences.
Frequently Asked Questions
What is EXXY AI Collaboration?
EXXY AI Collaboration is the real-time shared workspace inside EXXY AI Studio by Unimelabs. It lets architects, engineers, contractors, and project teams review, edit, and approve documents, models, and AI-generated outputs simultaneously — with the AI agent present throughout every session to surface compliance references and answer technical questions.
How many users can collaborate simultaneously?
EXXY AI Studio supports unlimited concurrent participants per session. Performance scales automatically based on subscription tier, with Pro plans handling standard team reviews and MaxMode enabling large-scale coordination across multiple disciplines and external consultants.
Can external clients review deliverables securely?
Yes. Project leads generate time-limited guest links with view-only or comment permissions. External reviewers access the workspace through a secure browser session without downloading files or requiring software installation. All activity remains logged and auditable.
How does the system handle conflicting edits?
The synchronization engine queues simultaneous changes and resolves overlaps using timestamp precedence and user role weighting. When conflicts cannot be auto-merged, the system flags both versions for manual review and preserves each participant's original input.
Is collaboration data stored securely?
All session data, edits, and audit logs encrypt in transit and at rest using enterprise-grade protocols. The platform complies with regional data residency requirements and supports single sign-on integration for corporate identity management.
Are AI replies streamed to all participants at the same time?
Yes. Streaming tokens are broadcast to every connected client. Late joiners see the full transcript replayed.
What happens if two people type a prompt at the same time?
Prompts are queued server-side and run sequentially. The UI shows whose prompt is in flight and queues the second cleanly so no work is lost.
Does branching duplicate the cost of AI calls?
No. Branches share the parent context until they diverge. New AI calls only happen on new prompts inside a branch.
Visit unimelabs.com to experience real-time collaboration built for the demands of modern project teams.
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