Decentralized Fact-Checking.
Semantic Intelligence.
No Gatekeepers
Vericore runs on Bittensor Subnet 70 — validating truth at scale across text, audio, and video. Open. Incentivized. Immutable.
Problem
The Internet’s Broken
solution
Vericore:
The Semantic Fact Layer
Decentralized
validation
Semantic linking
(text, audio, video)
Plural truths, contextual scoring
No black-box authority
1
Anyone submits a claim
2
Miners find semantic evidence
3
Validators score outputs
4
Best answers surface, transparently
Use Cases
What’s Vericore For?
Vericore checks facts, not backlinks
Validating News
& Content
Fact-Checking
AI Outputs
Verifying Enterprise Data
Building Knowledge Graphs
how it works
Truth Needs
Decentralization
Open protocol
Permissionless innovation
Incentive-aligned validators
No centralized gatekeeping
Roadmap
Building the Semantic Internet
MONTH 1:
Open-source launch
Support for media ingestion
Truth confidence scoring begins
Month 2-3:
Improve scoring, semantic matching, validator logic
Introduce topic-based filtering trails
Subnet performance tuning
Month 3-5:
Launch API and SDK (Python/TS)
Usage logging, audit trails
Community hackathons and integration workshops
Month 4-6:
Hook into dfusion.aimainnet for agent data validation
Align topic filters with subnets
Build feedback loop into knowledge graph
Run a Node. Validate Truth.
Own the Future
Vericore: decentralized fact-checking on Bittensor Subnet 70.
Semantic validation across text, audio, video. Open-source, incentive-aligned, transparent