DePIN's $3.5 Trillion Opportunity is Built on a Trust Deficit
The Verification Gap
Decentralized Physical Infrastructure Networks (DePINs) are set to be worth $3.5 trillion by 2028, but their growth is bottlenecked. These networks connect blockchain to the physical world, reintroducing the very trust assumptions that blockchain was created to eliminate.
Without a universal, trust-minimised verification layer, it's impossible to economically prove that a physical service was rendered as claimed, stunting network growth.
Self-Dealing
Malicious actors faking economic activity to illegitimately farm rewards, diluting value for honest participants.
Lazy Providers
Failing to deliver promised services like GPU uptime or storage, which degrades the network's overall quality and reliability.
Malicious Providers
Intentionally providing false data to manipulate outcomes, such as triggering an incorrect insurance payout.
Fiducia: An AI-Powered Trust Architecture
Fiducia shifts verification from a retrospective audit to a real-time, predictive system. By using a proprietary AI engine, we don't just ask, "Was the work done?"; we ask, "What is the statistical probability that it will fail or act maliciously in the next hour?" This transforms verification into a dynamic, intelligent resource management system. Our data flywheel creates a powerful competitive moat; the more data the AI processes, the smarter and more accurate it becomes.
From Probabilistic Checks to Verifiable Intelligence
Fiducia shifts verification from a retrospective audit to a real-time, predictive system. By using a proprietary AI engine, we don't just ask, "Was the work done?"; we ask, "What is the statistical probability that it will fail or act maliciously in the next hour?"
This transforms verification into a dynamic, intelligent resource management system.
Universal
A single, horizontal solution for any DePIN network, eliminating the "innovation tax" of building bespoke verification.
Predictive
Moves beyond simple anomaly detection to forecast malicious behavior.
Self-Improving
Our data flywheel creates a powerful competitive moat; the more data the AI processes, the smarter and more accurate it becomes.
A Modular, Multi-Chain Verification Protocol
Resource Integrity Module (RIM)
Time-Series Anomaly Detection
The RIM uses a Long Short-Term Memory (LSTM) Autoencoder to learn the "fingerprint" of normal behavior for any physical resource. Any deviation creates a high "reconstruction error," providing quantifiable proof of an anomaly.
Incentive Optimisation Module (IOM)
Reinforcement Learning
The IOM employs a Deep Q-Network (DQN) to dynamically influence what happens next. It learns an optimal economic policy to reward honest participants and disincentivize bad actors, maximizing overall network health.
Decentralized Oracle Network
Secure Off-Chain Communication
Computationally intensive AI analysis is performed by a decentralized network of oracle nodes. Results are aggregated via consensus, and economic security is ensured through the staking and slashing of $FIDA tokens.
$FIDA: The Engine of the Fiducia Ecosystem
Core Utilities
Governance
$FIDA holders can vote on key protocol parameters through a DAO.
Staking
Verifier nodes must stake $FIDA to participate, securing the network through an economic bond that can be slashed for malicious behavior.
Payments
DePINs pay for verification services in $FIDA or stablecoins, which drives a programmatic buyback of $FIDA on the open market.
Value Accrual
Buyback & Burn
A percentage of protocol revenue is used to buy and burn $FIDA, creating deflationary pressure on the token supply.
Staking Rewards
A significant portion of the token supply is allocated to reward verifier nodes and community members who delegate their $FIDA tokens.
Token Distribution
Community development and partnerships
Verifier node incentives
Core team and advisors
Protocol development fund
Public distribution and liquidity
Gain a Competitive Edge with Fiducia
We are seeking innovative DePIN projects to become our initial design partners.
Integration Grants
Receive a grant from our Ecosystem Fund to subsidize your integration costs and gain access to real-world data.
Access to Real-Time Data
Use our private, partner-exclusive testnet and a simple web dashboard to monitor your real-time anomaly scores.
Co-Development
Work directly with our team to co-develop and refine the RIM MVP, ensuring it meets your specific needs.
Technical Case Studies
Be featured in our in-depth, data-driven case studies, showcasing your project's reliability and integrity.
Our 18-Month Operational Roadmap
Phase 1
Foundation
Months 1-3
Phase 2
Beachhead
Months 4-9
Phase 3
Growth
Months 10-15
Phase 4
Scale
Months 16-18
Built by a UK-Based Solo Founder
We are preparing to make our first key hires for a Senior Protocol Engineer and a Machine Learning Engineer following our pre-seed round.
