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.
Key Capabilities
Four key capabilities required to put this product into production.
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.
Representative Scenarios
Enterprise knowledge platform · customer 360 · multimodal ChatBI · compliance audit & forensics.
Download Solution Playbook
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Case Studies
Filter anonymous scenario illustrations by industry, scenario and scale. Metrics and inferred customer, duration, stack and deployment metadata are unverified, not established customer outcomes.
Retail
1 caseIllustration · metrics unverified
Large-retail group data hub
Cross-format, video and voice unified governance.
- Customer
- Top-tier Chain retail & e-commerce brands
- Duration
- 10–16 weeks
- Tech stack
- Multimodal backbone · Speech / ASR-TTS
- Deployment
- Private deployment
General
1 caseIllustration · metrics unverified
Group KG + ChatBI
KG drives natural-language analytics for business users.
- Customer
- Top-tier Cross-industry enterprises
- Duration
- 10–16 weeks
- Tech stack
- Knowledge / RAG · ChatBI / NL2SQL · Graph neural networks
- Deployment
- Hybrid cloud
Finance
1 caseIllustration · metrics unverified
Financial-group data-asset inventory
Group-wide data assets auto-inventoried, classified and catalogued.
- Customer
- Top-tier Banks / brokers / insurers
- Duration
- 10–16 weeks
- Tech stack
- Multimodal backbone
- Deployment
- Hybrid cloud
Government
1 caseIllustration · metrics unverified
Pharma trial-data governance
Trial data, literature and imaging governed together to support AI drug discovery.
- Customer
- Top-tier Government & public sector
- Duration
- 6–8 weeks
- Tech stack
- Multimodal backbone
- Deployment
- Private deployment
Specs & Fit
Governance | Cleaning / labeling / vectorization / KG |
Multimodal | Text / image / video / audio |
Real-time ingest | Kafka / CDC / API |
P95 retrieval | <80ms at billion-scale |
FAQ
How long to onboard data?
Typical sources: 1–2 weeks; adapters cover common ERP / CRM / OA.
Vs traditional data middle-platform?
Adds native vector and multimodal governance — serves LLMs and agents directly.
How does the feedback loop work?
Online eval + business feedback + auto-retrain — three-step loop.
Quantified Outcomes
We only ship products that deliver ROI — here are the measurable metrics after enterprise rollout.
Data onboarding from quarters to weeks, vector recall P95 <80ms, 40%+ storage cost reduction.
Defined scope. Accountable delivery.
Staged pricing & acceptance
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Customer business data stays off-chain
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Clear contracting & delivery responsibility
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.