Today’s default AI have bigger foundation models, but they’re slow, costly, and hard to specialize.
And looking at it, you don’t scale intelligence with a $10M monolith.
You scale it with modularity.
Ethereum didn’t go faster. It went modular by Splitting State into:
- Rollups
- Shards
- DA layers
@Mira_Network applies the same principle to AI through LoRA
LoRA = Intelligence Shards
Each LoRA is a small, specialized module; a fragment of expertise.
- One LoRA for DeFi whitepapers
- One for DAO proposals
- One for multilingual summarization
You don’t need generalists.
You compose specialists.
H

Today’s default AI have bigger foundation models, but they’re slow, costly, and hard to specialize.
And looking at it, you don’t scale intelligence with a $10M monolith.
You scale it with modularity.
Ethereum didn’t go faster. It went modular by Splitting State into:
- Rollups
- Shards
- DA layers
@Mira_Network applies the same principle to AI through LoRA
LoRA = Intelligence Shards
Each LoRA is a small, specialized module; a fragment of expertise.
- One LoRA for DeFi whitepapers
- One for DAO proposals
- One for multilingual summarization
You don’t need generalists.
You compose specialists.
H

Open collaboration
Open Data verification
Open source architecture
Let’s explore Mira’s unique systems.
@Mira_Network architecture is built different and tese unique qualities Position Mira as the “trust layer” for AI.
➤ Open collaboration - Mira has so far collaborated with several industry partners across various sectors, including law, gaming, finance and education. These sectors leverage on Mira’s trustless network to deliver reliable outputs and to operate independently without the need for human oversight.
➤ Open data verification - Mira makes it possible for anyone to independent