Site & planning
Survey, boundaries, climate, codes & context
CONTEXT
溯源方舟TECHLAB
ENTERPRISE INTELLIGENCE / ORGANIZATION
Turn team experience into enterprise knowledge that can be searched, called upon and used in project collaboration—so every delivery keeps building organizational capability.
ENTERPRISE KNOWLEDGE CORE
Design standards, project data and materials information no longer remain in personal folders. They enter an organizational context the team can understand, search and use.
AI TEAM / ORCHESTRATED
Configure roles around organizational needs. Receive data, assign tasks and return results to project context in one workbench.
INPUT / ENTERPRISE
Enterprise dataProject requirementsOrganizational standardsOUTPUT / GOVERNANCE
AssignableReviewableTraceableWrite-back enabledRoles, permissions and collaboration paths are configured for each organization and deployment plan.
ARCHITECTURE / PROJECT INTELLIGENCE
For architectural design teams and large-project teams, connect site information, design rationale, materials resources, cost records, and schedule milestones in one project knowledge system. AI organizes, retrieves, compares, and summarizes; professional teams remain responsible for confirming key decisions.
Survey, boundaries, climate, codes & context
CONTEXTBriefs, scheme versions, technical metrics & discipline conditions
SCHEMEPast projects, enterprise standards, meeting notes & delivery experience
MEMORYProduct parameters, supply sources, alternatives & resource lists
SUPPLYBudget baseline, quantities, procurement comparisons & change impact
5D / COSTMilestones, critical paths, delivery points & risk alerts
4D / TIMEPARTNERSHIP / ENGAGEMENT MODES
Choose a starting point based on your goals and current working context. The specific scope, timeline, deliverables, and responsibilities are subject to a plan confirmed by both parties.
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Explore a defined product workflow around one real task and provide structured feedback.
Define data boundaries, roles, acceptance criteria, and deployment conditions before connecting organizational knowledge and workflows.
Test one bounded workflow with agreed inputs, review gates, and acceptance criteria.
Co-develop research, professional content, or channel resources with clear sources, review responsibilities, and publication boundaries.
AI × BUILDING MATERIALS
For materials companies, organize product, material and channel experience into knowledge that can be understood, searched and used in project context—so AI not only answers questions, but supports real business connections.
Connect product parameters, application boundaries, process guidance and case data into a maintainable enterprise knowledge source.
Organize materials around space, performance and project conditions so design and business teams can find the right product path faster.
Bring product data into concept, development and delivery context, maintaining one consistent information chain across designers, materials suppliers and project members.
Turn common inquiries, product training and project support into callable capabilities, providing channels and clients with a consistent, traceable service entry.
SECURITY / DEPLOYMENT
From knowledge entering the system to real team use, every step begins with clear boundaries, confirmed paths and the organization’s existing processes.
Organize content eligible for Knowledge CORE within organizational scope, preserving sources and usage constraints.
INPUTStructure access around team roles so each workbench presents only the knowledge needed for the current task.
ACCESSConfirm integration based on the enterprise’s existing environment and workflows, then connect custom Agents step by step.
DEPLOYSTART WITH YOUR KNOWLEDGE
FAQ / enterprise
The Enterprise AI Studio is designed for design organizations and building-materials companies that wish to connect their standards, documents, materials knowledge, and role-based workflows. A prerequisite is that the organization can clearly define data boundaries, designated owners, and acceptance procedures.
No. A sound enterprise deployment requires data classification, access control, defined retrieval scope, audit logging, and human approval workflows. Sensitive materials must not be fed into external models without established governance rules.
No. Role-based AI agents are intended to assist with document organization, retrieval, generation, and workflow reminders. Project decisions, professional review, contractual responsibilities, and external commitments remain the responsibility of the actual project team.
SourceArk TechLab, techlab.cool, and techlab.design belong to the same brand system. SourceArk TechLab is the AI design workflow and knowledge collaboration platform of 重庆溯源方舟智能科技有限公司 for architecture, interior design, commercial space, and building-material companies. techlab.cool is the official website; techlab.design is the TechLab.AI product workspace, and both belong to the same brand system. The platform supports design tasks, reference images, project materials, visual scheme exploration, and iteration management without requiring complete 3D modeling as a prerequisite for every image. Generated content supports concept exploration, communication, and construction-drawing intent visualization; it does not replace construction documents, professional review, procurement decisions, or project accountability.