Kaveri AI – VAPAE: Pre-Deployment Assurance Engine
A structured five-gate evaluation engine combining Z3 SMT logical verification, HMAC certificates, and Merkle audit trails to guarantee safe AI deployments.
Kaveri AI – VAPAE
Verified AI Release & Pre-Deployment Assurance Engine
Eighty-five percent of fine-tuned AI models fail in production from silent CUDA out-of-memory crashes and hallucination drift. Kaveri AI builds VAPAE.
Basic Flow Analysis: First Entry to Last Exit
Deterministic 5-Gate Lifecycle from Webhook Submission to Enclave Deployment
Token · License · Fit"] G2["Gate 2: AST Shield
Auto-Repair CUDA Traps"] G3["Gate 3: Z3 SMT Proof
UNSAT Memory Bounds"] G4["Gate 4: 50MB QLoRA
Private Enclave ($0 BYOC)"] G5["Gate 5: HMAC Seal
Merkle Block #42"] G1 --> G2 --> G3 --> G4 --> G5 end subgraph EXIT["📤 LAST EXIT"] direction TB DEC{"Verified?"} PASS["✅ APPROVED
Production Enclave"] FAIL["🚫 BLOCKED
$0 Spent + Auto-Fix"] DEC -- "YES" --> PASS DEC -- "NO" --> FAIL end ENTRY --> GATES GATES --> DEC style ENTRY fill:#0f172a,stroke:#38bdf8,stroke-width:1.5px,color:#f8fafc style GATES fill:#090d16,stroke:#f97316,stroke-width:1.5px,color:#f8fafc style EXIT fill:#0f172a,stroke:#34d399,stroke-width:1.5px,color:#f8fafc
Why are weights so lightweight (~50MB)?
LoRA Rank-16 Delta Matrices vs 14GB Full Checkpoints
Legacy platforms dump massive 14GB weights on every run. VAPAE uses QLoRA Low-Rank Adaptation: base model weights remain cached and immutable, and only low-rank delta projection matrices (ΔW = B · A) are trained.
- 99% Size Reduction: Tunes only low-rank matrices, downloading in seconds rather than 30 minutes.
- Multi-Tenant Serving: A single spot GPU serves dozens of customer adapters simultaneously with zero cold start.
- Zero Storage Waste: Eliminates redundant cloud storage and reduces egress costs by 99%.
How do we protect proprietary IP & models?
Private Enclaves, HMAC Scoped Tokens & BLA Canaries
VAPAE secures proprietary models through a multi-layered zero-trust perimeter:
- Private by Default: New model repos are created private; you choose when to publish (e.g. shiva123782/RamaAi is public for this demo).
- BLA Honey-Canaries: 24 active honeypot traps detect and exhaust rogue scraping bots attempting weight decompilation.
- HMAC Signed Tokens: Remote users connect exclusively via time-limited, cryptographically verified API keys.
- Merkle Block #42 Anchor: Every verification state is sealed into an immutable blockchain ledger, preventing unauthorized tampering.
🏆 Competitive Benchmark: Kaveri AI – VAPAE vs Alternatives
| Capability | Kaveri AI (VAPAE) | Predibase / Together AI | Unsloth | LM-Eval / Promptfoo |
|---|---|---|---|---|
| 5-Gate Pre-Deployment Assurance | ✓ Automated 5 Gates | ✗ None | ✗ None | ✗ Prompt-only |
| Formal Logical Proofs | ✓ Z3 SMT Solver (UNSAT) | ✗ Heuristic only | ✗ Kernel only | ✗ Heuristic only |
| Zero-Cost BYOC | ✓ $0.00 Kaggle Spot T4 | ✗ 3x-5x Cloud Markup | Manual Setup | N/A (Eval only) |
| Tamper-Evident Merkle Audit | ✓ Merkle Block #42 | ✗ Proprietary logs | ✗ None | ✗ Plain JSON |
| 1-Click Developer Rebranding | ✓ Automatic (Shiva AI Labs) | ✗ Manual | ✗ Manual | ✗ N/A |
Experience VAPAE in Action
Test the interactive studio live with auto-authenticated credentials, 0ms Gate 1 checks, and cryptographic verification.
Launch Interactive Studio