Underpinned by the NIST-approved Falcon digital signature algorithm. Generalizable to other lattice-based cryptosystems.
Improved compression ratio as the number of signatures aggregated increases. This means that more space is saved with the more signatures included in an aggregate signature.
Remotely access PQScale using our RESTful API.
Write ZKPs in Haskell
Keelung is a domain-specific language (DSL) embedded in Haskell. This allows developers to write high-level ZKPs guarded by Haskell’s advanced type system while leveraging the ecosystem and toolings of Haskell.
Easily transition to post-quantum. Keelung's modular design allows you to seamlessly move between pre-quantum and post-quantum cryptographic primitives.
One R1CS circuit to rule them all
Keelung gives you the flexibility to adjust the downstream proving system targeted by the R1CS circuit. This means you only need to compile one R1CS circuit to take advantage of an entire ecosystem of proving systems.
Keelung provides the flexibility to change the target environment for proof verification. Deploy Keelung proofs in any environment capable of zero-knowledge proof verification.
Zero-Knowledge Use Cases
ZKPs can be used to enable secure and private data analysis without revealing sensitive information with applications in business intelligence, data analytics and machine learning. For example, a company could use zero-knowledge proofs to prove that their revenue is above a certain threshold without revealing the actual revenue number.
ING bank uses ZKPs to prove that mortgage applicants incomes are within the admissible range without revealing their exact salary.
Anonymous verifiable voting
Eligible voters can prove the right to cast a ballot without revealing their identity. Voters may also request a verifiable proof that their vote was included in the final tally by the administration organizing the vote.
Get started with the step-by-step tutorial and set up your own project.
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