Closed field validation
A D-Festa 2026 field survey with 41 participants showed 81% buyer acceptance for demand surveys, 60% seller platform intent, and 80% fulfillment need.
Business Momentum
waLLLnut is expanding FHE16-based PET technology into consumer demand intelligence, enterprise risk intelligence, and blockchain confidential infrastructure. Research output, field validation, and public coverage support the commercialization path.
Traction
waLLLnut is validating consumer demand signals, enterprise privacy-preserving risk workflows, and confidential blockchain infrastructure as staged commercialization tracks.
A D-Festa 2026 field survey with 41 participants showed 81% buyer acceptance for demand surveys, 60% seller platform intent, and 80% fulfillment need.
The D-Testbed direction supports a B2B pilot path for insurance claim cross-checks, FDS, identity mismatch, and anomalous transaction detection without moving raw data.
FHE16, SSFHE, and threshold disclosure become encrypted-state and verifiable-execution infrastructure for developer ecosystems and partner integrations.
Milestones
Established the technical basis for sub-3ms bootstrapping and a browser-executable confidential computation path.
Unified FHE16, SSFHE, and threshold disclosure into a reusable PET engine for consumer, enterprise, and blockchain tracks.
The actively secure MPC work in the dishonest-majority setting strengthens the academic basis for B2B and blockchain confidential workflows.
The 2026 launch path focuses on private demand surveys, pricing and allocation reports, and seller onboarding before public release.
The enterprise path is designed as PoC to paid pilot to subscription or per-check pricing across insurance, FDS, identity, and anomaly workflows.
Encrypted state, confidential execution, threshold disclosure, and SDK support expand into developer infrastructure and partner integrations.
Papers
FHE16, SSFHE, and MPC research output show that waLLLnut’s PET engine is a validated technical asset, not only an implementation claim.
Sin Kim, Seunghwan Lee, Dohyuk Kim, Dong-Joon Shin
Open paperDohyuk Kim, Sin Kim, Seunghwan Lee, Dong-Joon Shin
Open paperSeunghwan Lee, Jaesang Noh, Taejeong Kim, Dohyuk Kim, Dong-Joon Shin
Open paperSeunghwan Lee, Dohyuk Kim, Dong-Joon Shin
Open paperSeunghwan Lee, Dong-Joon Shin
Open paperPress
Public coverage and research links show technology disclosure, academic collaboration, and connection to the global research ecosystem.
Coverage of waLLLnut disclosing FHE16-based confidential computation technology and blockchain applicability.
Open articleCoverage showing Hanyang University’s industry-research ecosystem and global technology exhibition context.
Open articleCoverage of next-generation communications, security, and AI-RAN research collaboration context.
Open articleDirect access to low-latency fully homomorphic arithmetic research.
Open sourceStrategy
One PET engine expands into B2C demand intelligence, B2B risk intelligence, and blockchain confidential infrastructure, combining market entry with long-term technical expansion.
The consumer demand track enters the pre-launch decision market through private demand surveys and pricing/allocation reports.
The B2B track expands insurance, identity, FDS, and anomalous transaction workflows into PET-based risk intelligence.
The blockchain track packages encrypted state, verifiable execution, and threshold disclosure as developer infrastructure for long-term expansion.