AI + Manufacturing
Multimodal LLMs, AI quality control and multi-agent collaboration applied to manufacturing — process, QC, R&D and supply chain. Full-chain quality, cost and R&D acceleration for both discrete and process manufacturing.
Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.
1. Key Capabilities
- Multimodal ChatBI —— Shop-floor data, process drawings and video analyzed together — natural-language analytics for business users.
- AI QC & Defect Detection —— Vision plus multi-sensor fusion sharply lifts defect recall and consistency.
- High-Throughput R&D Screening —— Massively parallel materials, formula and process screening collapses R&D cycles by orders of magnitude.
- Discrete-Manufacturing Agents —— Scheduling, changeover and quality-exception handling closed-looped by multi-agent collaboration.
2. Representative Scenarios
TCM multimodal ChatBI · high-throughput R&D screening · discrete-mfg scheduling · shop-floor AI QC · supply-chain collaboration.
3. Quantified Outcomes
50%+ lower escape rate, 5–10× faster R&D screening, +30% scheduler productivity, 8%+ lower unit energy from process tuning.
4. Specs & Fit
| Best for | Process / discrete / TCM / materials / new energy |
| Core capabilities | ChatBI / QC / R&D screening / scheduling |
| Deployment | Shop-floor edge + group cloud |
| Integrations | MES / ERP / SCADA / PLM |
5. Case Digest
TCM multimodal ChatBI
Shop-floor data, drawings and video analyzed together.
90%+ NL-analytics accuracy.
Top-materials R&D screening
Massively parallel screening of candidate compounds.
-80% R&D cycle.
Discrete-mfg scheduling agent
Changeover and exception handling closed by multi-agent.
-40% changeover time.
Semiconductor wafer-defect classification
Multimodal classification of wafer SEM imagery with root-cause tracing.
99.2% classification accuracy, +1.6pp yield recovered.
Heavy-equipment remote diagnostics
Vibration, fluid and thermal data from global fleets jointly diagnosed.
-55% field dispatches, -38% MTTR.
6. FAQ
Q. Conflict with IIoT platforms?
A. Complementary — we focus on AI decisioning and multimodal analytics, with two-way IIoT integration.
Q. Can legacy-equipment data be ingested?
A. Edge gateway supports OPC UA / Modbus / Profinet and other mainstream industrial protocols.
Q. How is QC continuously improved?
A. Online eval + business feedback + auto-retrain — three-step loop.