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Temporal intelligence infrastructure for human communications

Currently in limited beta. Ideal for teams exploring next-gen comms analysis.
Government, defense, and dual-use inquiries welcome.

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Pattern Recognition

Every interaction classified. Every pattern preserved. Nothing forgotten.

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Unlimited Scale

From personal relationships to global networks. One architecture.

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Real-Time Analysis

Noise becomes signal. Context becomes insight as comms unfold.

Built for Performance

Binary

∞

Scalability

Rust

Core engine

CAPABILITIES

Temporal intelligence infrastructure for AI chat with relationship memory.

Executive Summary

We've built the memory layer that AI lacks. Every conversation, every interaction, every pattern — classified, stored, and instantly accessible.

Current AI starts fresh with each conversation. Ours remembers everything that matters.

Core Architecture

Isolated Compute Model

▸Dedicated resources per user
▸Complete data isolation by design
▸No shared memory between users
▸Zero-trust enforced by default

Core systems leverage Rust's deterministic memory model and compile-time polymorphism — enabling predictable execution, safe data model evolution, and elimination of entire bug classes without changing surface APIs.

Performance Characteristics

▸Built entirely in Rust for speed, efficiency, and memory safety
▸Built on LMDB for maximum throughput
▸NVMe SSD storage for instant access
▸WebSocket connections for real-time interaction
▸Server-side processing enables seamless experience
▸Can maintain context even during client disconnection

Data Persistence

▸Automated backup to S3
▸User data deletion on request
▸HTTPS encryption in transit
▸Isolated storage per instance

What It Actually Does

Our classification engine processes communication into actionable intelligence. It tracks the data that reveals how relationships actually function — not what people claim, but what the patterns show.

This is a no-BS subtext metadata system that:

▸Captures actual relationship dynamics
▸Links patterns to source data
▸Builds temporal understanding over time
▸Reveals what's really happening beneath the surface

Deployment Model

Current Implementation

▸Entire system compiled into a single Rust binary
▸Static frontend precompiled from Next.js and embedded
▸Linear, unit-based scaling
▸Memory-optimized instances
▸Polymorphic network architecture
▸Custom Rust proxy enables subdomain-aware routing per user
▸LLM routing can support API or private inference*

* Calls to the model layer are isolated and determined at compile time. This supports future on-prem or local-hosted inference with no runtime changes.

Security Architecture

▸Zero-trust enforced at every layer
▸Rust-based core eliminates memory safety vulnerabilities
▸User environments fully isolated by design
▸Enterprise-grade security available on demand

Build pipeline is custom and hardened. Code is compiled in ephemeral EC2 environments, and deployed as single-purpose Rust binaries — no GitHub, no shared CI, no public repositories.

Use Cases

Personal Intelligence

▸Understand your actual relationship patterns
▸Track communication dynamics as they evolve
▸Develop resistance to emotional manipulation
▸Maximize Expected Value (EV) via game-theory

Professional Applications

▸Social analysis at any scale
▸Communication pattern recognition
▸Relationship mapping for organizations
▸Temporal analysis of any interaction corpus

Defense & Intelligence

▸Human terrain mapping through temporal signal analysis
▸Subtext detection and adversarial intent modeling
▸Behavioral threat profiling across distributed networks
▸Operational continuity under disconnected or degraded conditions
▸Can support private LLM inference in-VPC or on-prem

Strategic Posture

Built for adversarial environments. Designed for command-level awareness.

Tracks what actually happens — not what users say, not what dashboards suggest.

No glue code, no abstraction debt, no third-party bottlenecks. Just signal.

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