Documentation
Learn how the Elis AI distributed intelligence network processes your AI and SI (superintelligence) requests.
How Elis AI Works
Elis AI is a distributed intelligence network that breaks complex questions into smaller, focused tasks and routes them to specialized AI agents running across a decentralized pool of compute miners. Instead of relying on a single large model, every request passes through a dynamic pipeline that picks the best-fit agent, dispatches inference to the best available miner, and returns a fully traced answer — so you always know how a response was produced.
Elis is not a cost-saving add-on in front of one model — it is the orchestration layer. It decides how a prompt is broken into work, which reusable expert agent and template handle each piece, which model tier each step is right-sized to, which miner your access policy allows, and how every step is redacted, metered, traced, and graded so the next request routes smarter than the last. Lower token spend is one outcome of running that layer well, not the product. See how the orchestration layer works →
🤖 Elis AI Mode
Automatically builds and reuses specialized agents. Each agent runs a multi-step workflow — expertise lookup, context retrieval, execution — using the best available model tier for each step.
🔓 Elis Unlocked
Advanced multi-pass workflow with planning, fact-checking, and iterative refinement. Best for complex tasks that need verification and deep research.
⛏️ Miners
Miners host local LLMs and earn tokens for verified responses. The network supports multiple model tiers for speed and quality tradeoffs.
🛡️ Verification
Every inference step is traced end-to-end. The scheduler selects the best available miner using weighted round-robin, trust tiers, and load awareness — ensuring fair distribution and reliable execution.
Why the network stays sustainable
Elis is built on a token economy where compute contributors are rewarded for useful work. Miners that return high-quality results quickly earn more assignments. Because miners compete regionally, users get served by nearby high-performing nodes — improving latency and experience.
For Consumers
Contribute background compute to earn tokens that offset usage costs.
- Background contribution earns tokens.
- Tokens are spent on model and tool usage.
- Quality verification keeps rewards fair.
For Enterprise
End-to-end encryption, automated PII redaction, audit trails, and self-hosted deployment options.
Process Flow
Ready to try it?
Create an account and start asking questions — every answer comes with a full trace.