For Developers: NomadaLLM Edge AI SDK is coming. Join Early Access →

Launching

🍓 Runs on Raspberry Pi 5. Edge AI for the Internet of Consciousness.

Autonomous Intelligence for the Edge

Edge AI SDK for Raspberry Pi and IoT. No cloud. No latency. Total privacy.

Fully compatible with GitHub Copilot SDK and MCP standards.

Run AI on Raspberry Pi, edge devices, and embedded systems.
100% Local. Works Offline. Zero Data Leakage.

Quick Start

pip install nomadallm
nomada orchestrate --init

from nomadallm import NomadaLLM

# Initialize (free tier: 100 calls/day, all features)
brain = NomadaLLM()

# Agentic reasoning, not chat
result = await brain.reason(
    context=sensor_data,
    rules=business_rules,
    task="Analyze patterns and recommend action"
)

🍓 Pi 5 Ready

Runs on Raspberry Pi 5 (8GB)

< 50ms

Real-time edge inference

Zero Cloud

No internet required

FREE Tool - Try NomadaLLM Now

Scam Detector

Paste any message, email, or conversation. We'll detect manipulation patterns, logical fallacies, and scam indicators instantly.

0/10,000 characters

Want to build your own scam detector? Get the SDK →

Edge AI for every industry

🍓 Raspberry PiIndustrial IoTHealthcareAgricultureRetail

Beyond Chat: Real Intelligence Agents

99% of LLM usage is chat. We built NomadaLLM for the other 1%. Embedded intelligence that makes decisions, detects patterns, and reasons about data.

Security Camera

Raspberry Pi + Camera Module

A Raspberry Pi security camera that detects intruders and suspicious behavior without sending video to the cloud. Perfect for homes, warehouses, and retail.

from nomadallm import NomadaLLM
from ultralytics import YOLO

class SecurityAgent:
    def __init__(self):
        self.llm = NomadaLLM(provider="local")
        self.yolo = YOLO("yolov8n-pose.pt")
        
    async def analyze_frame(self, frame):
        poses = self.yolo(frame)
        
        result = await self.llm.reason(
            context=poses,
            rules="Detect sequence: scanning, grasping, concealing",
            task="Return: NORMAL, SUSPICIOUS, or ALERT"
        )
        
        return result

Local vs Cloud AI

Why enterprises are moving to local intelligence

Feature	NomadaLLM (Local)	Standard Cloud AI
Latency	< 50ms (Real-time edge inference)	1s to 3s (Network dependent)
Data Privacy	Absolute (On-device)	Vulnerable (3rd party servers)
Operational Cost	Fixed Subscription	Variable / Pay-per-token
Offline Ability	100% Functional	Zero
Compliance	No BAA required. Data never leaves physical premises.	Requires BAA / DPA

Enterprise Trust & Compliance

Built for Hospitals, Banks, and Air-Gapped Environments

Air-Gap Certified

Works in environments with NO internet. Zero external dependencies.

Data Sovereignty

Your data never leaves the hardware. Period. Full HIPAA/GDPR compliance.

Audit Ready

Simplified compliance documentation. No third-party data processors.

Strategic Pilot Persona

A proof-of-concept for high-reasoning agents in isolated environments.

🧭

Strategic Pilot

High-reasoning agent with stoic decision-making framework

Built with a stoic decision-making framework. Running 100% offline on edge devices. No cloud. No tracking. Demonstrates that local AI can reason autonomously in isolated environments.

pilot = NomadaLLM(persona="strategic_pilot")
decision = pilot.reason(
    context="System anomaly detected",
    rules="Stoic framework: focus on controllables",
    task="Recommend action"
)

Why NomadaLLM?

The only LLM SDK built from the ground up for privacy, security, and portability.

Embedded Intelligence

Add a brain to any application. Not just chat - reasoning, pattern detection, decision making.

Privacy-First

All processing happens locally. Your data never leaves your device.

Real-Time Processing

No network calls. Instant responses for video streams, transactions, and live data.

Built-in Security

PII detection, fraud analysis, and compliance tools included.

Universal SDK

Works with Python, Swift, JavaScript, and more. Integrated Orchestrator CLI bridges local edge intelligence with global development workflows. Built to work natively with GitHub Copilot extensions.

Works Offline

No internet required. Perfect for edge devices and secure environments.

How It Works

Three steps to Embedded Intelligence

Install the Brain

pip install nomadallm

Initialize the Orchestrator

llm = NomadaLLM(mode="local")

Deploy Reasoning

Stop sending messages; start processing patterns

result = llm.reason(context, rules, task)

# Instead of a chat, show a DECISION:
result = await llm.reason(
    context=sensor_data, 
    rules=business_logic,
    task="Detect anomalies and execute trigger"
)