Snapfront

Coherence Engines for Reliable AI

Flagship AI + Market Oracle + Plugins + GPUNX — coherence-first systems that act only when conditions are right.

Flagship AI

THOTH and EVA are coherence-first agents built on Snapfront’s WCTφ core. Interfaces below are live mockups fed by sample data while training completes.

THOTH — Research & Governance Console

Operational AI for decisioning with audit-by-design. Tracks WCTφ, ethics risk, gradient health, memory nodes, and throughput; includes reversible action gates and self-checks.

THOTH GUI screenshot showing WCTφ, ethics risk, gradients and plots

EVA — Coherence Console

Human-facing agent with warm safety posture. Monitors coherence, safety-gate, empathy index, heartbeat, and reflective thoughts for transparent, reversible interactions.

EVA GUI screenshot with coherence, safety, empathy, heartbeat, and plots

Coherence Dashboard

Entropy inputs, WCT_φ pulse, φ³ phase window, and policy gates.

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Controls & Audit

Action gating with reversible logs and human-in-the-loop review.

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Market Oracle - COMING October 2025

Market Oracle is a coherence-driven arbitrage engine that scans across assets and timelines to expose hidden inefficiencies in the market. Unlike bots chasing noise, Oracle reads deep structural patterns—using Snapfront’s φ²/φ³ math—to forecast where liquidity and mispricing align. The result: clarity, speed, and actionable edge in a single streamlined tool.

Coherence Gate

WCT_φ gates for regime detection and drawdown control.

Backtest & Reports

HTML reports and CSV opportunity maps with φ³ gating.

One-time License

Simple pricing, no tiers. Keep it ethical, keep it clear.

Snapfront Plugins

TradingView overlays and utilities (MCI, WCT_φ meter, Coherence Bands).

GPUNX v1.1

GPUnx turns any network of GPUs into a unified supercomputer. The master node manages tasks, queues, and progress, while lightweight workers plug in seamlessly to contribute raw GPU cycles. No cloud lock-in, no rent-seeking middle layer — just raw compute, distributed and optimized. Perfect for AI training, deep simulations, rendering, or anything that demands parallel GPU power. GPUnx is designed for efficiency, scalability, and direct ownership — your hardware, your rules, your results.

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Pipeline

Tasks are dispatched from the master → distributed to GPU workers → results flow back into one seamless system.

Targets

AI/ML training, large-scale simulations, rendering farms, and distributed scientific workloads.

Next

Kernel library, smarter schedulers, fault tolerance, and multi-vendor GPU backends for maximum flexibility.

Tech Moat

WCT_φ

1/(1+exp(-Σ|ΔS|/φ²)) — a continuous coherence signal that keeps actions in bounds.

φ³ PLL Gating

Phase-locked windows so systems act only when coherence is rising.

Emergence Field

∂F/∂t = -αF + βP + γ∇²F — tension field for intuition & stability.

Security & Ethics

SnapfrontKEM Priorities

λ-drift sync, PQ-ready posture, phantom padding, decoys on coherence drop.

Reversible Actions

Ledgered decisions, supervisor gates, and audit by design.

Compliance Path

SOC2 roadmap, privacy-first data handling, least-privilege access.

Team

James Kreis — Founder/Lead Researcher

Theoretical science, cryptography, and AI systems. Building coherence-first engines.

Naketa Willis — Co-Founder/Design

Clean systems, dark UI, and φ-ratio spacing. Ensures investor-grade polish.

Talk to Us

Request the deck, book a call, or ask for a demo plan.

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