DDW AI HUB is an AI platform for small and mid-sized manufacturing and service enterprises in China. It does not answer the question "should we use AI" — it answers "how does AI actually improve yield, ratings, and cost," with the explicit goal of delivering measurable business outcomes.
DDW is rooted in a team with deep manufacturing expertise: the founder and core team members each bring over twenty years of enterprise IT and smart-manufacturing work at listed companies, and the founder has repeatedly earned national-level project recognition and CIO awards. The platform's capabilities come from frontline practice, not laboratory concepts.
AI projects usually fail not because of model capability, but because of vendor lock-in, disconnected systems, low adoption, and runaway costs.
Cloud and local models connect freely; multi-tier failover keeps business continuous, and the enterprise is never locked to a single AI vendor — swappable and downgradeable models throughout.
Six mainstream database engines — PostgreSQL, MySQL, SQLite, Oracle, and more — supported at equal depth, with zero-friction data migration.
Unified access across DingTalk, Lark, and WeCom; employees get work done in the chat apps they already know, with zero learning curve.
Sales, quality, training, finance, customer service, ESG, and carbon-silicon collaboration — 7 domains, 55 business components, and 124+ platform plugins, ready to install, assembled by scenario: buy only what you use.
DDW packages the foundational capabilities enterprise AI needs as standard components; plugins share them, and the cost of reinventing the wheel drops to zero.
Unified multi-model access, automatic failover, cost-aware routing, and a peak-hour pricing engine — the most economical model for every job.
Standard .ddwplugin package format with signature verification against tampering and full lifecycle management — install, remove, and upgrade, all automatic.
Plugins collaborate through decoupled events; business actions automatically trigger downstream flows, with no hard-coded call chains.
Omnichannel IM adapters: one messaging interface across DingTalk, Lark, and WeCom; bots, cards, and approval flows out of the box.
Connects directly to existing ERP/MES/LIMS/QMS systems — no re-engineering, no migration; data silos bridged in place.
Three layers of tamper protection, AI-crawler defense, and data privacy compliance — enterprise data assets stay secure and under control.
Four metering models — tokens, API calls, plugin activations, and outcomes — with transparent, auditable channel revenue sharing.
Platform-wide standard / festive / muted templates switched from one admin console, responding quickly to holidays and major events.
Every business domain ships with three reference bundles — Minimal, Intermediate, and Full — scaled to fit. Below is a domain summary; click through for the three-bundle details in each domain.
Automatic lead claiming, voice-to-sales-notes, automated quote and contract drafting, and payment-risk alerts — the full journey from lead to cash.
View the three bundles →Automated 8D/CAPA report generation, sub-second regulation retrieval, automatic Cp/Cpk calculation with out-of-control detection, and auto-archived audit materials.
View the three bundles →Courses auto-transcribed into knowledge documents, learning progress tracked automatically, and certification verification for critical roles.
View the three bundles →Automatic roll-up of operating data, receivables/payables risk alerts, auto-generated monthly reports, and intelligent quote costing.
View the three bundles →An AI customer service agent that grows: it learns its lines from real conversations, detects sentiment and de-escalates before solving, automatically mines customer needs and product improvement ideas, and responds in seconds, 24/7.
View the three bundles →Pre-assessment pinpoints rating gaps, continuous benchmarking across multiple standards, auto-generated compliance reports, and suggested rating-upgrade paths.
View the three bundles →Business staff drag nodes and draw connections to build AI workflows: humans define the process, AI executes it. Conditional branches route automatically, cross-department publishing goes through tiered approvals, and every run leaves an auditable trail.
View the three bundles →Make full use of your existing computing resources. CPU-only AI is perfectly usable early on; invest in GPU capacity only after the gains are proven — you set the pace of investment.
Start on a single existing office PC — ready right after install; ideal for micro businesses and pilot trials.
Your own cloud resources or hosted cloud servers; no on-site data center — ideal for SMB production environments.
Core data stays on-premises while general compute runs in the cloud — ideal for data-sensitive enterprises.
Environment checks, deployment and integration, custom development, and guided operations — for customers with customization needs.
Customers at every stage can find the right entry point — results do the talking.
The full-featured DDW free edition, a one-shot ESG self-assessment experience, and low-barrier trials of the CNC personal edition.
Platform license + plugin subscriptions: invest once, use long-term; industry plugin packs purchased as needed.
Managed services such as AI agent operations, knowledge-base hosting, and AI training — billed by processing volume.
Pay by business results for offerings such as CNC yield assurance and ESG compliance assurance — cost tied to impact.
See the results before you commit — book a platform demo, or sign in and try it now.
