An AI decision layer for inspection, authentication, safety and automation.
The domain changes.
The verdict structure doesn't.
Expert judgment, structured as machine-readable knowledge and deployed at the operational bottleneck.
Verdict = the system's final PASS / HOLD / REJECT decision, with its evidence trace.
Perception → Judgment → Verdict
Three things transfer across domains. Nothing else does.
| Layer | Role | Luxury Authentication | GreenVision |
|---|---|---|---|
| 01Perception | High-speed detection & segmentation | Texture, stitching, hardware recognition | Vision Inspector (contaminant detection) |
| 02Judgment | Multimodal evidence fusion & reasoning | Expert VLM™ identity evidence | Quality Estimator (NIR+VLM) |
| 03Verdict | Ontology-constrained verdict → XAI → action | Rule engine → verdict/hold → appraiser | Orchestrator (OWL+PLC+XAI) |
Better models or knowledge modules replace one stage, not the entire pipeline.
The verdict package (evidence, rationale and rule trace) is what gets recorded, not the raw feed.
The Bottleneck-First Strategy
Start with the highest-value decision bottleneck, not a full-process AI overhaul.
Map the Process End-to-End
Observe how experts perceive, decide, and act across the full process.
Identify the Highest-Value Bottleneck
Locate the decision point where errors, delays, cost, or operational risk concentrate.
Encode Expert Knowledge
Structure domain concepts, relationships, decision criteria, exceptions, and rules into an ontology.
Assemble, Deploy & Validate the Verdict System
Configure reusable perception, reasoning, and verdict components for the target bottleneck, then validate performance against operational KPIs.
One Core. Multiple Domain Modules.
The core architecture stays consistent. Models, ontology content and operating rules adapt to each domain.
One console framework. Eight domain modules.
Propose a New Domain
Bottleneck-specific verdict AI can be applied to your process, too.
Propose →Client References
Eight modules built, with Luxury Detective now active in the field.
Luxury Detective — Client References
9 referencesHyundai Department Store
Department-store luxury floor authenticity verdict PoC.
Gmarket & Auction
E-commerce platform authenticity-verdict integration.
Gugus
Secondhand luxury intake appraisal support.
Kangwon Land
On-site item appraisal pilot.
Designer Exchange
UK/Europe secondhand-luxury commerce integration (NDA, LOI, MOU in place).
KOIPA
IP-protection industry collaboration.
Oracle Korea
Infrastructure expansion partnership (OCI).
Lotte Department Store
Solution integration discussions in progress.
Naver Shopping
One of our retail-platform references.
Frequently Asked Questions
Why not just fine-tune a foundation model?
Ontology constrains the verdict. It abstains rather than guesses.
Does the domain transfer actually hold?
Four domains, one architecture. Only parts and ontology were rebuilt.
Where does the training data come from?
DPP compliance capture is labeled data. One motion, two outputs.
About Us
Organization, certifications and funding history.
Company Profile
Milestones
- Company founded
- 11th Kibo Venture Camp · IP Technology Fast-Track
- Outstanding Company in Data Innovation · blockchain joint research
- Seed investment — Incheon CCEI, Newborn Ventures
- SME Technology Development Grant (Didimdol)
- TIPS Startup Commercialization · Startup Leap Package
- Google for Startups Cloud Program
- Pre-A round closed — Coolidge Corner Investment
- Global Enterprise Collaboration Program
Organization
Verdict Research
Reusable component models every module draws from.
Ontology Engineering
Expert VLM pipeline and data ontology architecture.
Domain Verification
Judgment criteria and Human-in-the-Loop verification.
Trust Infrastructure
DID/ZKP anchoring and large-scale API infrastructure.
Strategy & Delivery
Global GTM, public programs and procurement delivery.
Note: The organization mirrors the stack — build (G1), method (G2), ship (G3).