Popular GenAI solutions like ChatGPT often produce biased or inaccurate outputs to satisfy users, making mass adoption risky.
On the other hand, most users today are not well-equipped to critically assess AI results, making companies hesitant to integrate AI due to fear of misuse by employees.
➜ Mira Network changes that.
By reducing AI error rates to just 4.4%, Mira opens the door for safe, large-scale AI adoption and enhances AI's practical utility.
With few true “Audit AI” solutions available, Mira is positioning itself as a startup among startups.
◢ How does Mira do it? Step by step
1/ Break AI output into independent, verifiable claims.
2/ Use distributed consensus from multiple specialized AI verifiers.
3/ Improve accuracy from 70% to 96%, and reduce hallucination from 28% to 4.4%.
➜ Real-world Impact: (Learnrite)
+ 30x productivity increase
+ Cost per output dropped from $5 to $0.30
➜ At scale: Mira now processes 3 billion tokens/day for 4.5M+ users, proving real-world feasibility and scalability.
Mira enables AI to be safely applied in sensitive sectors like finance and healthcare, without manual oversight.
This is a critical step toward making AI trustworthy, secure, and ready for next-gen applications.
#Mira $MIRA
