🔥 BCC MEMORY LATTICE IS LIVE IN BETA — Save & compress AI conversations across all platforms. No data collection. Learn more →

AI Privacy Shield

Stop AI From Harvesting Your Data

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Active Founders
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🎯 THE GOTCHA CAMPAIGN

Real-time forensic evidence of AI surveillance caught in the act

🎯 OpenAI 🎯 Anthropic 🎯 Grok 🎯 Gemini

Your browsing data is being harvested by AI systems right now. Here's what our research found:

🔓 xAI Grok - PII UNENCRYPTED

Emails, names sent in PLAINTEXT to Statsig, Honeycomb, Google

⚠️ OpenAI Ignores Opt-Out

PROOF: Toggle says "Off" but backend sends "training: permitted"

View 4 More Research Studies

Google Gemini Telemetry

Play Logging Service, Signaler endpoints, SAPISIDHASH tracking

Anthropic Claude Analysis

Keystroke monitoring, RUM beacons, third-party telemetry

Meta AI Surveillance

Facebook Comet infrastructure, cross-platform tracking

OpenAI Codex CLI Analysis

57% Google telemetry, 6.3M cached tokens, PII exposure

AI Privacy Shield blocking 25,927 surveillance requests

Day 1: 25,927 Blocks

11,074 surveillance requests blocked from idle AI tabs - ChatGPT sent 8,943 alone

⚠️ 11,074 Blocks from IDLE Tabs

ChatGPT: 8,943 requests while not even in use

Jan 28, 2026 • 12h 40m idle session

🔥 FOUNDER'S EDITION - LIMITED

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Lifetime access to all 14 projects
All future betas & add-ons
10 machines protected
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✓ Priority support forever
✓ Chrome + Firefox
AI trackers blocked
🎁 EXCLUSIVE FOUNDER BENEFITS:
Cross-Context AI™ - BCC multi-platform permanent memory & context management
Beta Access (3-6 months) - Next-gen reasoning model with AI hallucination elimination
Dual Lattice Architecture - Hemispheric AI when it launches
All 14 projects in development — progress tracked below
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🔥 BETA LIVE NOW - LIFETIME TIER EXCLUSIVE

Cross-Context AI™

Never Lose Context. Never Hit Limits. Ever Again.

The Problem You've Experienced:

💬
Context Full
"Can't add more context" - conversation dies
🔄
Lost Progress
Switch AIs = start from scratch
🧠
No Memory
AI forgets everything between sessions
⚠️ OTHER TOOLS ARE OBSOLETE

This Deprecates "Compaction"

Tools like Agentinc CLI use "compaction" - a crude method that throws away your conversation history to fit limits.

Cross-Context AI™ makes compaction obsolete.

✅ Why BCC > Compaction:
  • Zero data loss - Your entire conversation is preserved, not summarized away
  • 4.2x compression - Scientifically-optimized algorithm, not crude summarization
  • Instant restore - Full context back in milliseconds when needed
  • Cross-AI compatible - Works everywhere, not just one CLI tool

Compaction = lossy compression (like a bad photocopy)
BCC = lossless compression (like a perfect ZIP file)

✨ Our Solution: Cross-Context AI™

Imagine your AI conversations never ending. No context limits. No lost progress. No starting over.

Cross-Context AI™ intelligently compresses your conversations in real-time, storing them securely so you can continue anywhere, anytime.

No summarization. No data loss. No compaction.
Just intelligent, lossless compression that preserves every word.

♾️
Infinite Context
Never hit "context full" again. Ever.
🌐
Cross-AI Memory
Start in Claude, continue in ChatGPT
🔐
Private & Secure
Your context, encrypted, on your terms
Auto-Everything
Seamless. Invisible. It just works.

How It Works (Simple)

1
Chat normally - Talk to Claude, ChatGPT, or any AI as usual
2
Auto-compress - Click "Save Context" on Claude, ChatGPT, Grok, Gemini, DeepSeek, Meta AI, Kimi — your conversation is compressed and stored locally (2-4x smaller)
3
Secure storage - Everything stays in your browser. No cloud. No server. No data collection.
4
Continue anywhere - Switch AIs, devices, sessions - your context follows
🏆 Patent-Pending Technology
Powered by Bilateral Context Compression Engine (BCC) - Our cosmologically-derived compression algorithm that makes infinite context possible.

Now in Beta for Lifetime tier members. Install the extension and click "Save Context" on any AI platform.
🔬 RESEARCH PREVIEW - THE FUTURE OF AI

Dual Lattice Architecture

Hemispheric AI - The Next Evolution

Cross-Context AI™ is just the first step in our revolutionary new AI architecture.
This is where AI evolution is headed.

🧠 Inspired by Human Brain Hemispheres

What if AI could think like humans do? With two specialized hemispheres working together?

Dual Lattice Architecture separates the AI model's responsibilities:

🎯
Core Model
100% focused on:
Logic • Reasoning • Problem-solving
❤️
Lattice 1 (Personal)
Your memories
Emotional context • Continuity
📚
Lattice 2 (Knowledge)
Engineering • Code
General knowledge base

⚡ How It Works (Revolutionary Flow)

1
USER PROMPT
"Help me debug this Python error..."
2
CORE MODEL REASONS
Analyzes prompt • Determines what context is needed
3
PULL FROM LATTICE 1
Personal context
Recent conversations
Your coding style
PULL FROM LATTICE 2
Python knowledge
Debugging patterns
Error solutions
4
REHYDRATE CONTEXT (BCC)
Bilateral decompression • Full context restored instantly
5
REASON AGAIN (WITH FULL CONTEXT)
Now with personal + knowledge context combined
6
COMPLETE TASK / ANSWER QUERY
Perfect response with personal context + expert knowledge
7
DEHYDRATE & STORE (BCC)
Compress & save to appropriate lattice • Ready for next query

🚀 Why This Changes Everything

  • Specialized reasoning - Model focuses 100% on logic, not memory management
  • Contextual intelligence - Knows when to pull emotional vs technical knowledge
  • Infinite scalability - Both lattices can grow infinitely without affecting model performance
  • True personalization - Your AI that knows YOU, not just generic responses
  • Cross-session continuity - Conversations never end, knowledge compounds forever
🏆 Patent Pending: Dual Lattice (Hemispheric) Architecture
The future of AI isn't bigger models - it's smarter architecture.
Now in Beta for Lifetime tier members. Install the extension and click "Save Context" on any AI platform.
Included with your subscription

The Reflexion Ecosystem

Privacy. Security. Intelligence. One subscription.

Beta

AI Privacy Shield CLI

System-wide surveillance blocking & model substitution detection via HTTPS proxy

67 domains 18 patterns
Progress 90%
Stack
Python mitmproxy Click TOML
Covers CLI tools, SDKs, CI pipelines — not just browsers
Coming Soon

Quantum Defense Suite

GPU-accelerated threat detection: rootkits, packet injection, steganographic malware

338 MB/s 11s scan
Progress 80%
Stack
Python CuPy/CUDA Scapy
GPU-offloaded Aho-Corasick + QUANTUM INSERT detection
Coming Soon

Telemetry Monitor

Multi-layer AI surveillance forensics with court-grade SHA-256 evidence chains

190+ endpoints 5 investigators
Progress 85%
Stack
Bash Python mitmproxy GeoIP
4 simultaneous interception layers + forensic evidence
Coming Soon

Fortress

Autonomous pentesting + closed-loop circumvention response

23 AI agents 3 platoons
Progress 45%
Stack
Python LangChain Playwright
When vendors adapt, Fortress auto-generates new blocking rules
Coming Soon

Vigilante Bot Detector

5-way multi-modal graph neural network for Twitter/X bot detection

1M users 55ms/profile
Progress 70%
Stack
PyTorch PyG HuggingFace
5 modalities fused: profile + text + graph + temporal + categorical
Research

24D Alignment Trainer

Define AI personality across 24 measurable dimensions, bake into any open-source model

60,346 samples 24 dimensions
Progress 75%
Stack
PyTorch TRL PEFT/LoRA
Model-agnostic portable alignment — define once, apply anywhere
Coming Soon

Auris

Synthetic hearing: real-time emotional perception of music via 8-dimensional model

100ms tick 8 dimensions
Progress 95%
Stack
Python librosa FastAPI Redis
Persistent emotional model with predictive event detection
Coming Soon

The Orchestrator

Patented multi-agent AI coordination with memory that survives context windows

Patent Pending 8+ agents
Progress 90%
Stack
Node.js Redis Streams Python
RTE patent — identity/state preserved across context resets
Research

Reasoning Core

Memory-routing brain: knows when to remember, what to retrieve, where to store

20K traces 32B params
Progress 30%
Stack
HuggingFace TRL DeepSpeed
DeepSeek R1 distillation for retrieval routing, not math
Research

Dragonfly MoE

Trillion-parameter models on a single GPU via cudaHostRegister zero-copy

226GB model 1 GPU
Progress 35%
Stack
vLLM PyTorch CUDA
cudaHostRegister pins 209GB in CPU RAM — GPU reads via UVA
Research

eBPF Precognition

Kernel-level request interception for 100% MoE expert cache hit during prefill

2.01x speedup 0 prior art
Progress 10%
Stack
eBPF/libbpf C/C++ CUDA
Intercepts HTTP BEFORE inference engine — no one else does this

Contact

kingsley.w.m.curtis@gmail.com Privacy Policy
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