Multimodal Data Governance & Vector Lake Platform
A multimodal data governance & vector-lake platform — one-stop cleaning, labeling, vectorization and knowledge-graph construction, the fuel system for enterprise AI. Real-time multimodal ingest and feedback loops keep models continuously iterating.
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
- Unified Data Fuel Factory —— End-to-end pipeline for cleaning, labeling, vectorization and KG.
- Vector Data Lake —— Native vector indexing + hybrid retrieval — millisecond semantic recall.
- Multimodal Real-Time Ingest —— Business systems / voice / video / docs / IoT streams ingested live.
- Feedback-Loop Driven Iteration —— Performance data flows back into retraining — models improve with use.
2. Representative Scenarios
Enterprise knowledge platform · customer 360 · multimodal ChatBI · compliance audit & forensics.
3. Quantified Outcomes
Data onboarding from quarters to weeks, vector recall P95 <80ms, 40%+ storage cost reduction.
4. Specs & Fit
| Governance | Cleaning / labeling / vectorization / KG |
| Multimodal | Text / image / video / audio |
| Real-time ingest | Kafka / CDC / API |
| P95 retrieval | <80ms at billion-scale |
5. Case Digest
Large-retail group data hub
Cross-format, video and voice unified governance.
Onboarding from quarters to weeks.
Group KG + ChatBI
KG drives natural-language analytics for business users.
90%+ NL-analytics accuracy.
Financial-group data-asset inventory
Group-wide data assets auto-inventoried, classified and catalogued.
-88% inventory cycle, 95%+ catalog hit rate.
Pharma trial-data governance
Trial data, literature and imaging governed together to support AI drug discovery.
-75% data-prep time, 3× candidate-compound throughput.
6. FAQ
Q. How long to onboard data?
A. Typical sources: 1–2 weeks; adapters cover common ERP / CRM / OA.
Q. Vs traditional data middle-platform?
A. Adds native vector and multimodal governance — serves LLMs and agents directly.
Q. How does the feedback loop work?
A. Online eval + business feedback + auto-retrain — three-step loop.