Operation Latency
Core FHE operations complete in under one millisecond.
< 1msBridging the SaaS Trust Gap
Enterprise customers need privacy guarantees that go beyond perimeter security.
The Trust Deficit
Data at Rest Is Not Enough
Enterprise customers hesitate to store PII, financial, or medical data in third-party clouds due to breach risks.
The Decryption Gap
Data in Use Remains Vulnerable
Traditional security protects data at rest and in transit, but data must be decrypted for processing, creating a window of exposure.
NINE65 Solution
Process Without Decryption
Eliminating the need for decryption allows SaaS platforms to compute on data they can never see, restoring absolute trust.
Sub-Millisecond Latency for Real-Time SaaS
NINE65 Symmetric Mode achieves the performance thresholds required for interactive SaaS applications.
Symmetric Mul (D50)
50 consecutive multiplications, zero bootstraps.
139msCPU Performance
Measured against industry standard FHE libraries.
3-6xMemory Footprint
Compared to 1.5-3.3 GB for standard implementations.
~200 MB| Metric | NINE65 v7 | Industry Standard |
|---|---|---|
| CPU Performance | 3-6x Faster | Baseline |
| Memory Footprint | ~200 MB | 1.5 - 3.3 GB |
| Throughput | 10-25M ops/s | 1-5M ops/s |
| Symmetric Mul (D50) | 139 ms | N/A (Bootstrapping) |
Benchmarks from the NINE65 v7 MANA-boosted canonical build. Results vary by hardware and configuration.
Zero-Knowledge Analytics as a Competitive Advantage
Turn privacy from a compliance burden into a growth engine.
Win Regulated Markets
Finance, Healthcare, Legal
Access contracts where privacy is mandatory, not optional. Meet regulatory requirements at the architecture level.
Liability Reduction
Never Hold Raw Data
Significantly lower breach risk and liability by never possessing the plaintext data that attackers target.
Customer Key Ownership
Full Data Sovereignty
Give customers full control of their encryption keys to ensure true data privacy and regulatory compliance.
Private AI and ML for SaaS Platforms
Run machine learning models on data that remains encrypted throughout the entire pipeline.
01
Encrypted Intelligence
Scoring Models
Run complex credit or risk scoring directly on encrypted financial records.
Predictive Analytics
Forecast trends using encrypted historical data without exposing PII.
02
Bootstrap-Free Depth
Depth-50+ Circuits
Support for deep multiplicative layers required for modern neural networks.
Exact Arithmetic
Integer-only computation with zero floating-point in the entire stack ensures model weights remain precise across all operations.
03
Zero-Knowledge Insights
Privacy-by-Design
Provide intelligence without ever needing access to the raw data.
Regulatory Compliance
Meet HIPAA and GDPR requirements for AI processing of sensitive data.
Enterprise-Grade Hardened Security
Built for multi-tenant cloud environments from the ground up.
Constant-Time
Uniform execution paths prevent timing side-channel attacks in multi-tenant cloud environments.
Safe Rust
Zero unsafe blocks in core crypto logic, eliminating memory corruption and buffer overflow risks.
Formal Proofs
Mathematical verification in Coq and Lean4 ensures implementation matches security specifications.
Secure Memory
Automatic zeroing of sensitive buffers prevents data leakage in shared cloud memory pools.
Three-Lock Conjunction Security
Protected re-encryption with three independent defense layers: information-theoretic, computational, and algebraic. All three must be broken simultaneously.
VERIFIED BUILD: 2026.02.21_v7 | Zero floating-point in entire stack
Seamless Integration via Privacy Middleware
Three-step architecture that keeps plaintext exclusively on the client side.
01
Client-Side Proxy
Customers encrypt sensitive data locally before it ever leaves their secure perimeter.
02
SaaS Computation
The SaaS server performs homomorphic operations on encrypted blobs without decryption.
03
Encrypted Results
The server returns encrypted results to the client for local, private decryption.
Ready for Immediate SaaS Deployment
The symmetric engine of NINE65 v7 is fully operational and has passed extensive audits.
Verified Core Features
- Encryption / Decryption
- Homomorphic Addition
- Homomorphic Multiplication
- Parallel Processing
- Batching Operations
With perfect test pass rates and sub-millisecond operation times, SaaS providers can immediately begin building privacy-first features.
NINE65 provides the performance, security, and efficiency required to make zero-knowledge computing a technical reality.
Transforming the SaaS Landscape
NINE65 FHE v7 is a strategic tool for SaaS growth. By eliminating the need for trust, SaaS providers can unlock new markets and reduce their liability.
Zero-Knowledge Reality
01 // Trust as a Product
Turn zero-knowledge from a marketing term into a technical reality that wins high-value enterprise contracts.
Liability Elimination
02 // Risk Mitigation
Drastically reduce the risk profile of your platform by never possessing the raw data that attackers target.
Market Expansion
03 // Regulated Growth
Seamlessly enter Finance, Healthcare, and Legal markets with a level of security that was previously impossible.
Strategic Roadmap
The future of NINE65 and privacy-first SaaS infrastructure.
Q1 2026 (Complete)
Developer Ecosystem & v7 Release
Python (PyO3) and WASM bindings shipped. Auto mod-switch, float purge, and Three-Lock Conjunction Security completed. 935+ tests across 7 workspace crates. NINE65 v7 released with Clockwork-Prime hardening.
Q2-Q3 2026
SDK & Documentation
Expanding SDK documentation, integration templates, and reference applications for modern SaaS stacks. Kiosk interactive demos for enterprise evaluation.
2027
Enterprise Scale
FIPS 140-3 certification and dedicated technical guidance for high-scale cloud deployments.