Run the world's most regulated finance on encrypted data.
From digital currency to cross-institution fraud analytics, tokenized securities, and payments, financial workloads demand the highest privacy. 4Chains powers them while raw data is never pooled or decrypted.
Digital currency that's private and auditable at once.
Digitizing currency forces a hard trade-off: transactions must stay private for users, yet remain auditable for regulators. Conventional designs sacrifice one for the other.
Process and verify transactions while they stay encrypted, so confidentiality and supervisory auditability hold at the same time, on the same rails.
Key benefits
Transaction confidentiality
Balances, amounts, and parties stay encrypted throughout settlement.
Regulatory auditability
Outcomes can be proven and supervised without exposing the underlying data.
Trust infrastructure
A verifiable foundation for digital-currency rails, built to be supervised.
In a digital-currency rollout, encrypted settlement preserves user privacy while keeping every transaction provable for oversight. Confidentiality and supervision on the same rails.
Catch fraud across institutions, without pooling customer data.
Fraud and AML detection is far more effective when data is combined across institutions and jurisdictions. But pooling raw customer data runs straight into regulatory and privacy limits.
Run shared detection across institutions while each party's data stays encrypted and in its own control. No raw data is ever pooled.
Key benefits
Real-time detection
Score and flag risk on encrypted data at production speed.
Cross-institution analytics
Combine signals across organizations without any party exposing its own customers.
Compliance without pooling
Meet privacy and residency rules while still collaborating on detection.
Multiple institutions run a shared fraud model. Each keeps its customer data encrypted and private, yet the model benefits from the combined signal, catching patterns no single institution could see alone.
Custody and settle tokenized assets, keys never exposed.
Tokenized securities and digital-asset custody have to protect keys and trade data, while still letting assets move, settle, and be used. Exposed keys are the single largest risk.
Custody and settle on a No-Key architecture, with trades processed while encrypted. Assets stay usable; keys are never exposed to lose or steal.
Key benefits
Asset confidentiality
Holdings, amounts, and counterparties stay encrypted from start to finish.
Secure custody
A No-Key architecture removes the exposed-key failure mode at the core of custody risk.
Compliant settlement
Settlement and proof happen without revealing the underlying trade data.
For tokenized assets, encrypted custody lets them settle and be proven correct, without keys or trade details ever being exposed.
Analyze payments at the highest privacy bar.
Payment data carries the highest privacy obligations of any dataset. But analytics has traditionally required it in the clear, creating exposure every time the business wants insight.
Run analytics directly on encrypted transaction data, so monitoring, risk, and insight never require plaintext.
Key benefits
Secure payment analytics
Dashboards and scoring run over encrypted transactions.
Regulatory compliance
Meet payment-data obligations by keeping data encrypted even in use.
Risk monitoring
Detect anomalies and risk continuously, without exposing transactions.
A payments team monitors transaction risk in real time. The dashboards and models run on encrypted data, so the team gets the insight without the raw transactions ever being exposed.
Built to run where encryption usually can’t.
Not an FHE that does everything. Just what a database actually needs, on air-gapped CPUs, today.
Standard CPUs only
No GPU or TPU cluster required. It drops straight into the air-gapped networks of banks, government, and electronics makers where GPU-based encryption can’t go.
No schema changes
Column types are preserved and no ALTER TABLE is needed. It applies instantly to existing Oracle, MSSQL, SAP HANA, PostgreSQL, and MySQL.
Real-time core DB ops
Comparison (WHERE) and aggregation (SUM) are the operations databases lean on most. They run on ciphertext in microseconds.
Can you use this in your company?
Bring a real workload. We'll show you AI and analytics running on it, without it ever being exposed.