> solutions / depin

Operations team for DePIN networks and sub-operators

The network pays for uptime, not excuses. Running 500 nodes across 10 regions by hand has turned into a part-time job no one on your team signed up for? We onboard, monitor and rebalance the fleet, and reconcile rewards every week. We work with Filecoin, Akash, io.net, Render, Gensyn.

Our stack is already built: onboarding agents for each network, gossip-aware monitoring (geo-spread, latency, packet loss), reward reconciliation against on-chain payouts, and fleet-rebalancing scripts tied to incentive thresholds. Each protocol gets its own runbook set: peer drop, missed challenge, low-reputation alert, payout discrepancy.

Our niche is the operator for operators in DePIN. The networks (Filecoin, Akash, io.net) ship tooling for a single-node setup, but a sub-operator running tens or hundreds of nodes is left without real managed operations. That's the gap we take on.

[ Get a 48h deployment plan ]

stack we operate

This is the DePIN subset, and the platform layer is identical across ICPs.

DePIN: Filecoin Akash Render io.net Gensyn

Platform: Kubernetes Terraform Ansible Prometheus Grafana Loki OpenTelemetry PagerDuty

what we deploy

Concrete deliverables for DePIN operators, and each one ships end-to-end with a repo, IaC and runbooks.

[ Node onboarding pipeline ] →

A fresh VM becomes a working network participant in <10 min because the bootstrap scripts handle it all: sealed identity, peer discovery, automated network registration.

[ Fleet observability ] →

A single pane of glass for 100+ nodes, where you can see per-node health, per-region latency, packet loss, uptime against the network threshold and on-chain reputation.

[ Reward reconciliation ] →

Weekly reconciliation of expected vs actual payouts, per-node breakdown, alert on >2% discrepancy, cost-per-reward dashboard.

[ Regional rebalancing automation ] →

Node moves across regions for incentive thresholds and storage demand: migration scripts, reputation-transfer control, automated cooldown.

[ Storage providers on Filecoin / Akash ] →

Sealing pipeline, deal-acceptance automation, retrieval monitoring, win-rate benchmarks, sector-recovery playbook.

what we operate 24/7

After handoff the pager lives with us, and we tune the coverage for a fleet of DePIN nodes:

Per-node liveness: a missed challenge or proof triggers Sev-2; >5% fleet down over an hour triggers Sev-1.
Peer-count watchdog: if peers drop below the protocol floor, the network subsystem auto-restarts.
Reward-flow monitoring: payout latency >25% off the network baseline gets investigated within the hour.
Auto-recovery of nodes: disk full, OOM, stuck process, network partition - these are known patterns, so a script closes them.
Versioned runbooks per protocol: Filecoin sector fault, Akash bid expiry, io.net job preempt, Render frame timeout.
Monthly fleet review, where we go over what we're changing in geo distribution, how we're improving cost-per-reward, and which networks we're adding or dropping.

migration scenarios

Here's what we move without losing reputation or payouts.

fleet rebalance across regions

Node moves between regions to hit incentive thresholds in 72h: reputation control, phased identity migration, cooldown per network rules.

cloud to bare-metal

Fleet moved off AWS / GCP onto bare metal at Latitude.sh / OpenMetal: typical 50% cost-per-node reduction, no reputation loss in the network.

single network to portfolio

Fleet diversified across 2-3 DePIN networks: breakeven calc, phased rollout, single dashboard for cross-network metrics.

scale-up for demand growth

Fleet 3x in 2 weeks for network demand growth: VM burst selection, onboarding automation, reputation-aware outbound ramp.

storage topology change

Filecoin sectors moved to new data centers with sealing recovery, no lost deals, no challenge penalties.

scale-down after a season

Controlled fleet wind-down after an incentive season: identity withdrawal, stake withdrawal, reputation preserved for the next season.

cases

All anonymized: NDAs cover the names, but the numbers are real.

DePIN sub-operator · ongoing · 200 nodes across 8 regions · 99.94% uptime · reward variance ±3%

Filecoin storage · 18 mo · 80 nodes · sealing throughput +35% · 0 sector faults over the quarter

io.net GPU operator · 6 mo · 40 nodes (mix H100 / 4090) · job acceptance rate 96%

Render Network · 9 mo · 25 nodes · frame delivery on-time 99.1%

SLA tiers

Three coverage levels. For fleets >100 nodes and incentive-threshold workloads we usually recommend Silver or higher.

Tier	Response p95 (Sev-1)	Coverage	Incident report	Engineer hours / mo
Bronze	30 min	Business hours, 5×8	Within 48h	40
Silver	15 min	24/7 on-call rotation	Within 24h	80
Gold	5 min	24/7 with dedicated engineer	Within 12h	160+

FAQ

Are you a DePIN operator or a DevOps team?

We're a DevOps team that runs operations for DePIN operators, so stake, identity and payout wallets stay with you. We sell engineering hours and tooling (onboarding, monitoring, reward reconciliation, rebalancing) - not network access.

Which networks do you support?

In production we run Filecoin, Akash, io.net, Render and Gensyn, and we're actively integrating Theta, DIMO, Helium and Glow. If your protocol isn't on the list, send it over and we'll scope the integration in 48h.

Can you handle reward reconciliation as a standalone engagement?

Yes, it's a standalone engagement with no node operations: we plug into on-chain payouts, parse reward distribution, reconcile against expected, and deliver a weekly CSV / Grafana dashboard. It's a good fit if your fleet is stable but financial visibility is lagging.

What about identity and reputation?

Identity always stays with you, since the sealed keys are generated in your environment (KMS / HSM) and we have no root access to the material. On regional migrations we maintain reputation continuity: where the protocol allows, we do a soft transfer; where it doesn't, we spin up a new identity while preserving the fleet.

How long does onboarding a 100-node fleet take?

Getting from VM ready to a live node takes <10 min per node, and a regional rollout of 100 nodes runs 5-7 days including per-region warm-up. If you're already running on leased VMs, we can parallelize 10-20 nodes at a time and close it out in 48-72h.