02 / Domain
Decentralised Compute & Storage
Open capacity, engineered to be dependable.
The problem
Nodes churn, proofs are costly and hardware is uneven. The hard part is making DePIN reliable enough for real workloads.
Decentralised networks promise capacity that no single provider controls. In practice, buyers judge them like any cloud: is the job done on time, is the data still there, and can I predict the bill?
We engineer the unglamorous layers that answer yes. Scheduling, verification, replication and operator experience, tuned for a world where machines come and go without notice.
Where it applies
- AI training and inferenceRouting GPU jobs across independent operators with fair metering and settlement.
- Permanent and archival storageDurable storage with proofs, repair and retrieval guarantees.
- Edge and bandwidth networksCoordinating geographically spread nodes for low-latency delivery.
- Network launchesTaking a DePIN protocol from testnet to a healthy, growing operator base.
What we build
GPU marketplaces
Scheduling, metering and settlement for distributed GPUs.
Storage networks
Replication, proof-of-storage and fast retrieval.
Operator tooling
Provisioning, health and upgrades for independent nodes.
Hybrid routing
Jobs moved between decentralised and traditional clouds.
How we approach it
- 01Design for churn, not the happy path
- 02Measure proofs against real cost
- 03Make operators' lives boring
Stack
What you get
- ✦Predictable performance despite node churn
- ✦Proofs priced against the value they protect
- ✦Operators who stay because running a node is easy
Other domains
Have a hard problem?
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