ENTERPRISE INTELLIGENCE / ORGANIZATION

Bring standards, data andprofessional judgmentbeyond individual hands.

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

Bring distributed experience back into one 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.

ORGANIZATION KNOWLEDGE MAP
Enterprise Knowledge CORE Design standards Project data Materials library Team workbench Custom Agent

AI TEAM / ORCHESTRATED

Deploy enterprise workflows as a collaborative AI team.

Configure roles around organizational needs. Receive data, assign tasks and return results to project context in one workbench.

INPUT / ENTERPRISE

Enterprise dataProject requirementsOrganizational standards

OUTPUT / GOVERNANCE

AssignableReviewableTraceableWrite-back enabled

Roles, permissions and collaboration paths are configured for each organization and deployment plan.

ARCHITECTURE / PROJECT INTELLIGENCE

Take large architecture projects from site judgment through cost and schedule.

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.

01 / SITE

Site & planning

Survey, boundaries, climate, codes & context

02 / DESIGN

Architecture design

Briefs, scheme versions, technical metrics & discipline conditions

03 / KNOWLEDGE

Team knowledge base

Past projects, enterprise standards, meeting notes & delivery experience

04 / RESOURCES

Materials & resources

Product parameters, supply sources, alternatives & resource lists

05 / COST

Cost control

Budget baseline, quantities, procurement comparisons & change impact

06 / SCHEDULE

Schedule control

Milestones, critical paths, delivery points & risk alerts

PARTNERSHIP / ENGAGEMENT MODES

Four ways to start working together.

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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01 / PRODUCT EXPERIENCE

Product experience

Explore a defined product workflow around one real task and provide structured feedback.

02 / ENTERPRISE DEPLOYMENT

Enterprise deployment

Define data boundaries, roles, acceptance criteria, and deployment conditions before connecting organizational knowledge and workflows.

03 / WORKFLOW PILOT

Workflow pilot

Test one bounded workflow with agreed inputs, review gates, and acceptance criteria.

04 / CONTENT CO-CREATION

Professional content co-creation

Co-develop research, professional content, or channel resources with clear sources, review responsibilities, and publication boundaries.

AI × BUILDING MATERIALS

Bring materials knowledge into design and project collaboration.

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.

01 / PRODUCT

Product knowledge

Connect product parameters, application boundaries, process guidance and case data into a maintainable enterprise knowledge source.

02 / SELECTION

Intelligent materials selection

Organize materials around space, performance and project conditions so design and business teams can find the right product path faster.

03 / PROJECT

Project collaboration

Bring product data into concept, development and delivery context, maintaining one consistent information chain across designers, materials suppliers and project members.

04 / CHANNEL

Channel services

Turn common inquiries, product training and project support into callable capabilities, providing channels and clients with a consistent, traceable service entry.

SECURITY / DEPLOYMENT

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.

01 / BOUNDARY

Data boundaries

Organize content eligible for Knowledge CORE within organizational scope, preserving sources and usage constraints.

02 / ACCESS

Collaboration permissions

Structure access around team roles so each workbench presents only the knowledge needed for the current task.

03 / DELIVERY

Deployment path

Confirm integration based on the enterprise’s existing environment and workflows, then connect custom Agents step by step.

START WITH YOUR KNOWLEDGE

Start with one real set of data and build your organization’s knowledge connections.

FAQ / enterprise

Frequently Asked Questions

What types of organizations is the Enterprise AI Studio suited for?

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.

Does enterprise deployment mean handing all documents over to a single model?

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.

Can an AI team replace a real project team?

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.

What is the relationship between SourceArk TechLab, techlab.cool, and techlab.design?

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.

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