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Privacy by Design, Performance by Default

Experience unparalleled data privacy with our vaultless token platform designed for your needs.

Empowering Your Data Privacy Needs

Samuday is a vaultless tokenization and privacy platform built for the next generation of data protection. Secure PII, enable compliance, and future-proof your enterprise with zero data lock-in

Data Privacy Solutions

Secure your data with our vaultless token platform designed for complete privacy and protection.

Post-Quantum Secure

Protect encryption keys using Kyber-based KEM — designed to withstand quantum attacks

Privacy Compliance Assistance

Ensure compliance with data protection regulations while maintaining user privacy and trust effectively.

No Vaults, No Bottleneck

Eliminate traditional vault complexity. Tokenize sensitive data on the fly using format-preserving encryption (FPE)

Features

Vaultless Format-Preserving Tokenization

Samuday uses NIST-approved FF1/FF3 encryption to generate reversible tokens that fit seamlessly into existing systems, reports, and databases.

Whether you're embedding tokenization into microservices or running serverless, Samuday makes integration frictionless — no vault setup, no vendor lock-in

We wrap encryption keys using Kyber, a NIST-selected post-quantum algorithm, ensuring long-term protection for sensitive data — even in hostile or high-survivability environments.

Developer-First, API-Native Design
Post Quantum Key Security

Contact Us for Data Privacy

Reach out for inquiries about our vaultless token solutions.

A close-up view of computer code or data displayed on a screen. The text appears to be part of a JSON-like structure with key-value pairs, featuring words such as 'protected', 'verified', and 'followers'. The text is in white, while some metadata or index numbers are in green.
A close-up view of computer code or data displayed on a screen. The text appears to be part of a JSON-like structure with key-value pairs, featuring words such as 'protected', 'verified', and 'followers'. The text is in white, while some metadata or index numbers are in green.