Use-Case Assessment
Determine whether a proof system solves the requirement better than a simpler design.
ZK Tech Development
Prove the Statement. Design What Stays Private.
ZK technology development for proof systems, selective disclosure and verifiable workflows, with careful circuit design and integration testing.
- Proof-system assessment
- Circuit engineering
- Verifier integration
- Selective disclosure
- Performance testing
- Security review support
From inputs to a verifiable claim
A clear boundary between what is supplied, proved and disclosed.
- 01
Private Witness
Inputs intended to remain undisclosed
- 02
Public Statement
The claim and permitted public inputs
- 03
Prover
Compute a proof under the chosen system
- 04
Verifier
Accept or reject the specified claim
What we build
Discuss Your ProjectZK Tech Development Services
Statement Specification
Define public inputs, private witnesses and the exact claim a verifier should accept.
Circuit Development
Implement scoped constraints with tests for invalid and adversarial inputs.
Prover Integration
Connect proof generation to the application and its performance requirements.
Verifier Interfaces
Integrate verification with contracts or backend services as appropriate.
Review & Benchmarking
Measure proving costs and prepare implementation evidence for specialist review.
Selected for your scope
Technology & Delivery Toolkit
We choose the implementation tools after confirming the architecture and integrations.
- Circom
- Noir
- Proof Libraries
- Verifier Contracts
- Circuit Tests
- Benchmark Tooling
From scope to launch
Start Your ProjectOur Development Process
- 01
Discovery
Write the statement, threat model and disclosure requirements.
- 02
Architecture
Evaluate proof frameworks and prototype the critical constraints.
- 03
Implementation
Implement circuits and application proving/verification interfaces.
- 04
Verification
Test invalid witnesses, disclosure risks and practical performance.
- 05
Launch & Support
Deliver reviewed artifacts and operational guidance for the agreed scope.
Privacy must be specified, not assumed
Using a ZK-related framework does not automatically make an application private. Public inputs, metadata, proving infrastructure and surrounding application behavior can still reveal information.
Statement
What exact fact does acceptance establish?
Inputs
Which data is public and which must remain private?
Trust
What setup, operator or hardware assumptions exist?
Costs
Can the application support the proving and verification workload?
Practical Use Cases
01
Selective Disclosure
Prove an approved attribute without disclosing the whole record.
02
Verifiable Computation
Check a defined computation through a supported proof system.
03
Eligibility Workflows
Verify scoped participation criteria with deliberate privacy boundaries.
04
Proof-Based Applications
Integrate existing proof technologies into useful products.
ZK Tech Development FAQs
Does ZK mean all data is private?
No. Privacy depends on the statement, public inputs and the surrounding system. Validity proofs alone do not guarantee application privacy.
Can an ordinary code audit cover all ZK risks?
Specialist cryptographic and circuit review may be required in addition to application security testing.
Can proofs run in a browser?
Some workloads can. Feasibility depends on the proof system, input size, device limits and user-experience requirements.
Start with the statement your system needs to prove.
Tell us what you want to build. We’ll help define the next practical step.