Two-Settlement
Compute Marketplace
Day-ahead scheduling, real-time balancing, system-level resource allocation.The market rails that AI deserves.
Data center capex by 2030
Average GPU utilization
Globally optimal markets (for now)
THE ULTIMATE RESOURCE ALLOCATION PROBLEM
AI compute allocation relies on long-term bilateral contracts and static provisioning. This creates persistent inefficiencies and is just simply terrible.
Chronic Underutilization
Inference workloads spike. Training jobs batch. Operators overprovision for peak demand. Result: billions in stranded capacity sitting idle.
Tough Provider Economics
Independent datacenters are forced to accept wholesale offtakes to secure stable cashflows, compressing margins across newer players.
No Price Discovery
Prices are negotiated privately in long-term bilateral contracts. No mechanism exists to determine real-time compute value.
Volatility Without Hedging
Demand swings wildly. Prices don't adjust. No forward market, no real-time balancing, no way to hedge exposure.
REBUILD EFFICIENCY FROM THE GROUND UP
A market design that maximizes welfare, literally. We are introducing a two-settlement market for both primary and secondary clearing. A structure that made electricity markets efficient—applied to AI compute.
Predictable Scheduling
Schedule workloads 24 hours in advance. Lock in capacity commitments. Clear at auction-determined prices that reflect expected scarcity.
- Hedge real-time exposure
- Hardware & latency constraints
Live Dispatch
Handle deviations as they occur. Dispatch flexible capacity to meet realized demand. Prices form continuously based on marginal cost.
- Sub-second dispatch
- Inference spike handling
A standardized unit of compute that allows comparisons between heterogeneous hardware. Performance factors via MLCommons benchmarks translate raw capacity into comparable, tradeable units.
MARKET PARTICIPANTS
Compute Buyers
AI Labs • Enterprises
Access capacity on-demand without long-term commitments. Hedge training costs and scale inference elastically.
Compute Providers
Hyperscalers • Neo-Clouds
Monetize idle capacity through transparent markets. Reduce overprovisioning with network-level pooling.
Liquidity Providers
Traders • Market Makers
Earn availability payments for standby capacity. Capture spreads between day-ahead and real-time markets.
EIGEN enables Network-Level Pooling
When workloads are pooled across the network, individual spikes become statistical noise. The law of large numbers absorbs volatility at scale.
Reduction
Efficiency
EIGEN enables Direct Market Access
Eliminate the intermediary spread. EIGEN creates direct clearing between cloud providers and end users, capturing value previously lost to wholesale offtake structures.
Make compute efficient again.
It's ambitious, we know. But it's too important to not try. We're looking for partners across the compute ecosystem to redesign the market rails of intelligence. Let's fix this mess together.
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