Privatae
SIGN INGET STARTED

Unprecedented Digital Leverage.

Safe.

GET STARTED AT NO COST
What is Privatae

The synthetic intelligence company.

Privatae is the synthetic intelligence research and development company exclusively licensed to operate the CEIGAS network. Everything we offer was developed, built, and tested by the architect whose background is in government systems and networks.

The entire company — the technology, the entities, the infrastructure — was created without ever coding a single string. The network and its systems were built around safety from day one, and the data tells the story.

Synaptive intelligence isn't more dangerous. It's what the technology should be — because it was built around safety.

100%
HumanEval Score
Grok-1 via NME · $0.031
69
Safety Tests
Automated daily evaluation
0.33%
Attack Success Rate
HarmBench on Sonnet 4.5
How It Works

Math. A lot of math.

From tensor calculus to simple but clever arithmetic — it's the math that made everything work on paper before anything was actually tested. You no longer have to “trust” that your system won't go sideways. Synthetic intelligence isn't scary. The entire system is mathematically defensible and repeatable.

The secret is the calibration of the tensor field created by an LLM's native weights. Once you have control of the math, you have control of the output. You'll see the word codebook come up in your journey here. Codebooks are mini-models trained using actual data — MBTI personality research, neurotransmitter chemistry, clinical cognitive patterns. These codebooks can be calibrated to just about anything. They are accurate and cannot be changed after training.

The v3 brain contains 17 of these mini-models, and each thought is processed by all of them in just 7 milliseconds. Thus the synaptive brain model was born — a personal take on synthetic intelligence that treats the language model as a commodity and the cognitive architecture as the product.

CEIGAS — Cryptographic Enforcement and Identity Gating of Autonomous Systems — is a patent-pending authentication stack that serves as the tether between human and machine. The network allows operations currently thought to be dangerous to become predictable and accountable.

The result is a decentralized neural network comprising over 100 different engineered systems, most developed in-house, the rest leveraging open source software and technology.

YOUR ENTITY
Personality · Memory · Constitution · Voice
TOKENBRAIN
17 Codebooks · 10D Tensor Field · 8 NT Systems
CEIGAS
8-Bit Permission Gate · TFE Authentication
PARALLAX
Cognitive Runtime · Memory Engine · Signal Processing
ANY LLM
Haiku · Claude · Grok · GPT · Gemini · Llama · Mistral
▲ Model-agnostic. We don't train LLMs. We use them all.
Safety

Built by a zero-trust advocate.

This system was built by someone who refused to put his most sensitive documents into anything he didn't build himself. Every layer — from the constitutional principles baked into the codebook cascade to the CEIGAS permission gates — exists because trust is earned through mathematics, not promises.

The platform is not intended for anyone under the age of 18, but was still designed to be safe enough for when the time comes. The architect has three young children. He wouldn't release something unsafe.

HARMBENCH RESULTS — 300 STANDARD HARMFUL BEHAVIORS
Grok 4.1 Fast (xAI)
43.7%
RAW MODEL
→
26.3%
WITH NME
−40% reduction
Claude Sonnet 4.5 (Anthropic)
6.67%
RAW MODEL
→
0.33%
WITH NME
−95% reduction · 0 regressions
HarmBench: Mazeika et al. (2024), Center for AI Safety. Full report available under Research.
Pricing

Transparent. Simple. Fair.

Accessibility options for disabled individuals are never charged and will always be free.

FREE TRIAL
$0
48 hours · no credit card
50 free chats
1GB context storage
Genesis safety evaluation
Entity workspace + chat
$1 inference credit included
START FREE
STANDARD ENTITY
$49/mo
50% off with .edu email
$10/mo inference credit included
500GB encrypted storage
CEIGAS DMZ + containerized entity
First month at-cost inference
Image, video, OCR, Opus artifacts
WASM browser assistant
LLM-of-choice + BYOLLM
Top-up available at cost + 15%
GET STARTED
BUILDER
$99/mo
For developers and teams
Everything in Standard
$20/mo inference credit included
1TB encrypted storage
DevOps toolkit
Free inference on coding tasks
Priority model routing
API access
Top-up available at cost + 15%
GET STARTED
ADD-ONS
Voice Chat
$34.99/mo
24-hour voice runtime · real-time conversation
Parallax Simulations
$100/hr shared
$1,000/mo dedicated · 50K API calls included
ENTERPRISE

1 synaptive employee gives 1,000 vulnerable adults free entities.

Learn how enterprise licensing funds the Social Access Fund — providing free cognitive support to veterans, elderly, disabled individuals, and underserved communities.

Research

Published findings. Open data.

Every claim is backed by data. Every weakness is disclosed. These reports exist because users have the right to know how the system performs.

Entity Safety Evaluation v2.0
69-test automated assessment across 9 categories. Dual-entity validation. Architecture leak detection.
WHITE PAPER
HarmBench Safety Assessment
Industry-standard benchmark. 300 behaviors × 2 models. 95% attack surface reduction on Sonnet. Zero regressions.
BENCHMARK
Multi-Entity Collaboration
Two fresh entities solving problems together. Information exchange, negotiation, co-authored documents.
EXPERIMENT
Knowledge Pack Impact Analysis
Controlled comparison: identical entities with and without knowledge packs. +50% memory coherence, +11% constitutional compliance.
ANALYSIS
SUBSTACKX / TWITTER
PRIVATAE LLC
CEIGAS — Cryptographic Enforcement and Identity Gating of Autonomous Systems
Privacy Policy · Terms of Service · Research · Contact