Quantum Homomorphic & Privacy-Preserving Computing Platform

Computable yet invisible.

Conzen.ai enables institutions to compute, classify, and collaborate on encrypted data without exposing sensitive records.

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Before Quantum Day

2030

NIST-mandated post-quantum readiness is already shaping enterprise security decisions.

<100ms FHE processing latency milestone

100% Encrypted SQL query accuracy in PoC testing

$30M 2030 revenue target

Solving The Data Trilemma

Privacy, utility, and transparency should not be a tradeoff.

Financial institutions, healthcare networks, and manufacturers need shared intelligence, but privacy rules keep sensitive datasets locked in silos.

Privacy

GDPR, CCPA, PDPA, and sector rules restrict plain-text data access and cross-institution sharing.

Utility

Banking, healthcare, and smart manufacturing teams still need AI-ready data for decisions.

Transparency

Regulated workflows require auditable, explainable decisions that can withstand scrutiny.

Conzen.ai Platform

Quantum FHE isolation for encrypted computation.

Raw data enters encrypted, computation happens while it remains invisible, and only encrypted results leave the privacy channel.

Encrypted Raw Data

FHE Privacy Channel Never decrypted during computation

Encrypted Result

GPU acceleration

General-purpose GPU optimization compresses bootstrapping latency and reduces resource consumption.

Hybrid routing

Ordinary transactions use a standard channel, while high-risk cross-border events enter the FHE privacy channel.

AI interoperability

Homomorphic AI formats allow privacy-enhancing workflows to connect to existing analytical modules.

Anti-Money Laundering Example

Phase 1

Inside-institution AML

Strengthen internal transaction monitoring and fraud prevention before sharing sensitive data.

Phase 2

Data and credit sharing

Enable privacy-preserving collaboration with credit information providers and risk partners.

Phase 3

Multi-side instant evaluation

Advance toward ecosystem-level AML intelligence inspired by initiatives such as COSMIC.

Multi-Billion Global Market Potential

Start in financial compliance, then expand across privacy-heavy industries.

Vertical Global TAM APAC SAM CAGR

Anti-Money Laundering $2.4B $0.5B 16.4%

Healthcare Analytics $47.1B $10.2B 16.5%

Smart Factory $191.3B $68.9B 11.2%

Competitive Landscape

A data defense ecosystem built for post-quantum, privacy-first deployment.

Conventional Systems

Vulnerable quantum security

Requires decryption

Computational bottlenecks

Friction-heavy AI conversion

Conzen.ai Platform

NIST post-quantum cryptography direction

Homomorphic isolation

GPU accelerated latency reduction

Seamless AI interoperability

Business Model And Market Path

High-margin software economics with proof-led enterprise adoption.

60%

Subscription

Core recurring revenue through institutional platform access and API connectivity.

25%

Usage-based

API calls and scoring workloads scale with customer business activity.

15%

Service alliance

Professional services and alliance membership support regulated deployments.

01 Integrate

Connect via Director Cloud Hub integrations.

02 Validate

Execute monitored 90-day PoCs to prove viability.

03 Scale

Lock in $150k+ ACV contracts and expand through customer networks.

Milestones Achieved

Technical proof points already map to investor-grade commercialization.

<100ms

Single bootstrapping latency breakthrough

100%

Encrypted SQL query accuracy on 5,000 transaction records

90.18%

F1 credit model score with limited AI accuracy degradation

>15%

Target cross-bank risk alert improvement

2026-2030

5-year path to $30M revenue

Prototype delivered, sandbox PoC, field PoC, ramp-up, break-even, then globalization.

Core Team

Academic depth, bank-side expertise, and startup execution.

Steven Liao

Founder

Professor at NTU, Google Founders Award recipient, ex-Intel Architect, Stanford PhD.

Ming Fong Sie

CEO

NTU CS PhD with dual expertise in AI and quantum computing.

Jay Liao

Co-founder

Ex-startup co-founder, CTO and BD head, Foxconn group team leader, NTU.

Po-Yu Tseng

CTO

NTU CS expert in post-quantum cryptography.

Chiu-Yi Chen

CFO

15 years at E.SUN Bank with deep AML analytics and financial regulation expertise.

Risk Assessment And Mitigation

Known deployment risks are matched with concrete operating responses.

Tech latency

Optimize GPU kernels and integrate quantization to improve production performance.

Regulatory intervention

Join FinTechSpace regulatory sandbox pathways to support compliant deployment.

New competitors

Build a localized, regulated data defense ecosystem before the category commoditizes.

Cross-border compliance

Retain international compliance counsel for regional expansion.

Secure Privacy For Finance, Healthcare And Smart Factory

Build the privacy layer before quantum day arrives.

Conzen.ai is raising smart capital and validating enterprise adoption through regulated proof-of-concept deployments.

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