The Hidden Bottleneck
Every ZK system re-verifies proofs that have already been verified
Rollups, bridges, and privacy protocols obsess over proof generation. But the dominant recurring cost? Re-verification. The same proof gets checked again and again, burning 815ms of compute each time.
⚙️
Proof Generation
STARKs/SNARKs generated by prover. Expensive but one-time per proof.
~10-60s
🔍
Proof Verification
Verifier checks every proof on every request. 815ms each. THIS is where Cachee wins.
815ms per verify
✅
Result Usage
Application reads verified result and proceeds. Fast, but blocked by verification.
~1ms
The math: A rollup processing 10,000 proofs/hour spends 815ms × 10,000 = 2.26 hours of pure compute just re-verifying already-verified proofs. With Cachee: 2.09ns × 10,000 = 0.02ms. Same security. 497 million times faster.
The Transformation
Same verifier. Same security model. Different proof-state layer.
Standard ZK Stack
~816ms
Per proof verification
Proof verification815ms
Proofs cached0 (re-verify every time)
Compute utilization95% on re-verification
Throughput~1,200 proofs/sec
Stale proof riskN/A
Cachee ZK Stack
~2.1ns
Per proof lookup
Proof lookup2.09ns (L1 cache)
Proofs cached100% after first verify
Compute utilizationFree for new proofs
Throughput36,000+ proofs/sec
SecuritySame (verify-then-cache)
How It Works
Verify once, cache with integrity, serve at memory speed
1
Verify Once
First time a proof is seen, full STARK/SNARK verification runs. Result + metadata cached with cryptographic binding.
815ms first verification
2
Cache with Integrity
Verified proof stored in L1 memory with H33 cryptographic envelope (Dilithium signature + FHE binding). Tamper-proof cache entry.
Sub-microsecond storage
3
Serve at Memory Speed
Every subsequent request for the same proof returns the cached, cryptographically-signed result. 2.09ns lookup. No re-computation.
497M× faster
ZK Use Cases
Every ZK workflow re-verifies proofs. Cachee eliminates the redundancy.
🔗
ZK Rollup Sequencers
Batch proof verification for L2 rollups. Cache verified batch proofs, serve to bridge validators instantly.
🌉
Cross-Chain Bridges
Bridge validators verify proofs from source chains. Cache verified proofs so every relay doesn't re-verify.
🔐
Privacy Protocols
ZK-based identity and credential proofs. Verify once at issuance, serve cached proof for every access check.
📋
Compliance Engines
KYC/AML proofs verified once, cached indefinitely. 497M× faster compliance checks without exposing PII.
🧩
Proof Aggregators
Aggregate thousands of proofs into recursive SNARKs. Cache intermediate verifications to avoid redundant work.
🏛️
DAO Governance
ZK-proof-of-membership verified once per epoch, served from cache for every vote and proposal.
The Value
What caching proof verification is worth
Verification is pure compute. Eliminating redundant verification frees hardware for new proofs, new chains, new capacity.
30×
Same hardware processes 30× more proofs when verification is cached
-99.99%
Verification compute
$2M+
Annual compute savings
The real advantage isn't just speed — it's security without compromise. Every cached proof carries a Dilithium post-quantum signature and H33 FHE cryptographic binding. The cache entry is as trustworthy as re-running the verification. You get the security of verify-every-time with the speed of cache-always.
Read the full case study: Cachee × H33 — The Paradox: Adding Cryptography Made It Faster
Read Case Study →