NewMVP #1 · Retail Smart Advertising in development

Stand on the Pylon of Sovereign AI.

A decentralised framework for building secure, private Physical AI solutions — sovereign intelligence, deployed at the edge. No cloud. No compromise.

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Pylon Architecture Flow Diagram
60–80%
Energy Reduction
95%+
Inference Accuracy
<1.5s
End-to-End Latency
0 bytes
Data Sent to Cloud

The Problem

Enterprise AI is stuck between cloud dependency and edge inadequacy.

Sending sensitive data to the cloud exposes you to breaches, regulatory risk, and vendor lock-in. But small edge models lack the reasoning power for complex, real-world decisions.

Healthcare providers can't risk patient data in the cloud. Retailers need intelligence at the shelf. Construction sites demand sub-second safety responses. None of them can afford a monolithic always-on model burning 1,000W 24/7.

☁️
Cloud AI
Data leaves your building
📦
Small Edge Models
Not smart enough for complex tasks
🖥️
Monolithic On-Prem
1000W+ always running, massive cost

How Pylon Works

Wake only what matters.

Intelligence is coordination, not scale. Pylon orchestrates many small, specialised expert models through hierarchical planning — activating only what each event requires.

P1
Always-On Monitor

Lightweight sensors (YOLOv8-Nano, rule-based scanners) watch for events at 10–20W. Only anomalies proceed.

C1
Intelligent Router

First-line filter powered by a shared 7B LLM. Decides in <80ms whether an event is significant enough to wake the planner.

C2
Planning Agent

Wakes on demand. Deep analysis with LangGraph multi-step orchestration. Selects which specialist models to call, in what order.

P2
Expert Models

Dormant specialist models (moondream, ArcFace, BERT) activated only when called. Each is best-in-class for its domain.

C3
Action Executor

Converts high-level plans into concrete actions — alerts, API calls, signage triggers — with exponential-backoff retry.

The result: 60–80% energy reduction
P2 specialists stay dormant — loaded to GPU only when C2 calls them. One shared 7B kernel LLM (~4.5 GB VRAM) powers all three kernel agents via prefix KV caching.

Use Cases

Sovereign AI across industries.

Medical AI deployment in a hospital ward
Medical

Patient-side diagnostics that never leave the ward.

Deploy diagnostic AI directly at the bedside. Imaging analysis, vitals monitoring, anomaly detection — all processed on-device. Patient data is sovereign by design. No PHI touches external servers.

Privacy-firstHIPAA-alignedReal-time monitoring
Smart retail advertising with edge AI
Retail

Smart advertising intelligence at the shelf.

Anonymous shopper demographics, zone dwell analysis, and targeted ad selection — all processed locally on an NVIDIA Jetson. No faces sent to the cloud. GDPR-compliant by architecture.

Edge-deployedAnonymous60–80% energy saving
Construction site safety AI monitoring
Construction

Sub-second safety alerts with full worker sovereignty.

PPE compliance detection, restricted zone monitoring, and worker identification — running on-site with zero cloud dependency. Violations trigger alerts in under one second. Worker biometric data stays on the device.

<1s latencyOn-site onlyOSHA-ready

Core Principles

Built on four unbreakable pillars.

Secure

Dual-signature verification on all model calls via MCP (JSON-RPC 2.0). No unverified tool can be invoked by the kernel. Role-based access control throughout.

Private

Video, biometrics, and sensor data never leave your premises. Edge-native architecture means GDPR, HIPAA, and sovereign data compliance by default — not by policy.

Decentralised

No central AI cloud. Each deployment is a self-contained, independent node. The plugin architecture means new capabilities are added without touching core infrastructure.

Sovereign

You own the models, the data, and the infrastructure. Swappable via config — any GGUF-compatible model can replace the kernel LLM without code changes.

From the Blog

Thinking in public.

All posts →

How Selective Activation Cuts Edge AI Energy by 80%

Most edge AI systems waste 70–90% of compute on always-on models. Learn how Pylon's selective activation cuts energy use by 80% for privacy-first Physical AI at the edge.

#technical#energy#architecture

Introducing Pylon – Hierarchical Edge AI for Privacy-First Physical AI Deployment

How Pylon's hierarchical edge AI framework enables sovereign, privacy-first Physical AI — secure intelligence on hardware you control, no cloud required.

#announcement#edge-ai#architecture

Ready to deploy sovereign AI?

Pylon is in active development. Request early access and we'll be in touch when your vertical is ready.

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