A hardware-agnostic DePIN network replacing $150,000 LiDAR surveys with real-time, edge-AI road intelligence.
A pothole can cause a fatal accident today, but a city won't know it exists for another 12 months.
Municipalities globally spend $89B/year managing road networks using periodic LiDAR vans that cost up to $10,000 per lane-mile. Data is stale the moment it is recorded. VIGIA fixes this by treating physical roads like software. We deploy a decentralized physical infrastructure network (DePIN) of edge nodes that provide continuous, AI-verified observability into global road conditions.
For Municipalities & Enterprises: A B2B SaaS platform delivering real-time predictive maintenance and hazard mapping.
For Node Operators: A mathematically sustained Burn-and-Mint Equilibrium (BME) economy where a $48 hardware investment breaks even in under 2 months.
VIGIA is a full-stack, vertically integrated protocol. Explore our core repositories:
- vigia-amazon: The Brain. The Road Intelligence IDE and AWS Serverless Multi-Agent System. Routes edge telemetry to Vision Language Models for deepfake detection and hazard verification.
- vigia-raspi: The Edge. Our hardware-agnostic edge client. Runs YOLOv26 ONNX models locally on a $48 Raspberry Pi 4, executing spatial hashing and 99% noise filtration before hitting the cloud.
- vigia-solana: The Settlement. Native Anchor smart contracts executing our high-frequency spatial consensus, Sybil defense, and
$VIGIAtoken minting on the Solana Devnet.
We don't rely on expensive proprietary hardware. We trade hardware friction for algorithmic and economic security, unlocking infinite scalability.
Instead of forcing users to buy $500 proprietary dashcams, VIGIA runs on off-the-shelf ARM hardware (like a Raspberry Pi 4) or mobile devices. The edge model operates at 60ms/frame in-browser, Ed25519-signs the payload, and filters out 99% of non-actionable frames to protect cloud bandwidth.
Before a byte touches the blockchain, telemetry routes through our AWS serverless orchestrator. Vision Language Models (Amazon Bedrock Nova Lite) autonomously grade footage, flag impossible physics, and quarantine deepfakes.
- The VC Metric: Because of our edge-filtration, our entire AWS backend costs exactly $0.31 per node, per month.
To solve the Oracle Problem without hardware enclaves, we utilize Solana's sub-penny fees and state compression. The smart contract requires multiple independent nodes to pass the same H3 spatial index before validating a hazard. The system autonomously mints micro-bounties directly to driver wallets in under 400ms.
Most DePINs fail because they lack fiat enterprise demand. VIGIA is built on a ruthless B2B SaaS margin model that silently fuels a Web3 economy.
| Metric | Enterprise Survey (Legacy) | VIGIA Network | The VIGIA Advantage |
|---|---|---|---|
| City-Wide Survey Cost | $150,000+ Annually | $500 / month (50 nodes) | 95% Cost Reduction |
| Cloud Cost per Node | N/A | $0.31 / month | Maximum Capital Efficiency |
| B2B Gross Margin | 20 - 40% (Hardware heavy) | 96.9% ($10 rev / $0.31 cost) | Software-grade Scalability |
| Hardware ROI (Driver) | N/A | < 2 Months ($48 cost) | Rapid Network Bootstrapping |
- Mint: Drivers run edge nodes and earn
$VIGIAfor algorithmic Proof of Physical Work. - Burn: Municipalities and insurers pay a fixed fiat subscription for dashboard API access.
- Equilibrium: VIGIA autonomously buys and burns
$VIGIAon the open market using enterprise fiat, insulating governments from crypto volatility while driving deflationary value to node operators.
VIGIA is engineered by a team of deep-tech systems architects specializing in Edge AI, Computer Vision, and highly-optimized cloud infrastructure.
We don't just write whitepapers; we ship production-grade systems. Our underlying architecture and team execution have been recognized globally:
- Winners: National ARM Hackathon (i.mobilothon)
- Top 50 Finalists: Amazon AIdeas Global Challenge
- Live: Fully operational on Solana Devnet and AWS
Founder / Architect: Tom Mathew & Team
Contact: tom@vigia.network
Welcome to the future of decentralized physical infrastructure.