Gamify the development and management of independent thinking machines.
We engineer systems for autonomous platforms — robotics simulation, perception, edge AI, and the infrastructure that makes it all work. Based in Dublin, California.
Build fast, explore broadly, then cut ruthlessly to what works.
Graphlings — Created by Matthew Valancy, Copyright 2026 Valpatel Software LLC.
Persistent crystal creatures that live, think, and remember across connected worlds.
Graphlings are autonomous digital life forms — crystal creatures with personalities, memories, and motivations that develop over time in their own game universe. They aren't scripted NPCs. Each one runs on a local LLM, observes its surroundings, reasons about what to do, and acts independently. They form relationships, remember experiences, breed inherited traits, and communicate with voice.
When a simulation begins in another system (like Tritium-SC), Graphlings cross over from their home world to play roles — a defender who remembers last week's breach, an attacker with a grudge, a bystander who notices things. When the mission ends, they return home with new memories. Think of it like the TV show ReBoot: the simulation is a game that descends into the Graphlings' world. They suit up, play their parts, and go home when the game ends.
The system distributes Graphling cognition across your local compute fleet — desktop mini PCs, RTX workstations, NVIDIA Jetson, Mac Minis, or any Ollama-capable device on your network or Tailscale mesh. Small fast models handle background life; larger models drive critical decisions. Community ownership means your AI runs on your hardware. Self-hostable dedicated servers keep your creatures' data under your control.
Cross-platform (PC, Mac, Mobile) | Coming 2026 | graphlings.net →
AI-powered neighborhood security that doubles as an outdoor robot game for kids.
Amy is the AI commander. She watches through cameras, thinks with a continuous inner monologue, and independently tasks assets — all running locally on NVIDIA edge hardware. Three operating modes:
- Idle security mode — Always-on neighborhood monitoring. Amy tracks every person and vehicle, identifies patterns, and builds a continuous picture of what's normal and what isn't. The original concept.
- Live combat mode — Kids vs. robots. Amy connects to robot dogs, humanoid robots (e.g. Unitree), drones, and Nerf turrets deployed in the yard. Same detection pipeline, same AI decision loop, but now she's hunting players. Kids gear up and fight back.
- Simulation mode — Full stack exercised without real hardware. Virtual assets on real satellite maps with wave-based combat, projectile physics, and kill streaks. Same ROS 2 interfaces, synthetic imagery from Isaac Lab. The code that runs in the game is the same code that controls real robots outside.
Graphlings integration: Tritium-SC's plugin system deploys Graphlings from their home universe into battle scenarios as intelligent NPCs. Most enemies, civilians, and ambient units run on traditional game AI — but scattered through the world are Graphlings: autonomous agents that know they're actors in a temporary simulation. They observe, reason, and make decisions that scripted AI can't. When the battle ends, they return home with memories of what happened.
YOLOv8 at 30fps | ROS 2 + Isaac Lab | FastAPI + Three.js
Synthetic audio generation for AI agents. Local GenAI SoundCloud for humans.
A local, offline box that provides synthetic music, sound effects, and voice to any agent or app on your network. AI agents discover it automatically via MCP, generate and review assets, and pull audio programmatically — no human in the loop required. Multiple engines (MusicGen, AudioGen, MAGNeT, Piper TTS) running on local GPU. All output is CC0 public domain.
For humans, it's a full listening app — community radio stations, a searchable library, 10 real-time visualizers, voting, favorites, and fullscreen immersive mode. The UI makes it fun to browse and curate what the AI is producing.
Flask + PyTorch + SQLite FTS5 | Runs on desktop GPU, Jetson, or DGX
Self-hosted monitoring and automation for CyberPower power distribution units.
Real-time web dashboard for PDUs and automatic transfer switches. Polls devices over SNMP and serial, publishes metrics to MQTT, stores 60 days of 1Hz time-series data, and integrates with Home Assistant auto-discovery. Centralized control of multiple PDUs with an in-app automation rules engine.
Python + Docker + MQTT + InfluxDB | github.com/mvalancy/CyberPower-PDU
