Orchestration
Manage workloads across distributed sites from a single console. Kubernetes-native. Self-healing mesh routes around failures without intervention. New nodes join automatically.

Zero-touch provision
New nodes register and configure themselves automatically. No manual setup, no site visits.
Auto-failover
When a node fails, workloads migrate instantly. The mesh reroutes around problems without waiting for human intervention or cloud connectivity.
Offline-ready
Keep sites running when network is down. Local autonomy is the default — sync happens when connectivity returns, not as a prerequisite.
Containers & Serverless
Run Kubernetes workloads or event-driven functions. Same platform, same management console. Choose the model that fits your application.
Data governance
Control data flow across your infrastructure and beyond. Define policies, enforce access rules, maintain audit trails. Share data with partners without losing control of it.

Federated access
Data stays where it lives. The platform manages who can access what — without copying, moving, or centralizing your data.
Policy-based access control
Define rules once, enforce everywhere. Grant access by role, organization, time window, or use case. Revoke instantly.
Immutable audit trail
Every access, every query, every export — logged, encrypted, tamper-proof. Full accountability for compliance and internal governance.
Cross-org collaboration
Share data products with partners without losing control. Set terms, track usage, maintain sovereignty across organizational boundaries.
ML-Operations
When you need to run ML workloads at the edge, the tooling is already there. Ingest data, train models, and deploy to production — all-in-one.

Full cycle
From raw data to deployed model — one platform. Ingest, label, train, validate, serve. No tool-hopping, no integration headaches.
Distributed training
Train models across multiple edge sites without centralizing data. Resources allocate automatically based on availability.
Versioning and lineage
Track every model back to its training data, parameters, and pipeline. Know exactly what's running in production and why.
Production deployment
A/B testing, canary rollouts, instant rollback. Deploy models the same way you deploy applications — controlled, observable, reversible.
Hiro runs in industries where you can't afford to wait for a technician, reboot from the cloud, or lose data to a network outage.
Hiro technology has been developed and validated through EU-funded projects focused on edge-cloud computing, distributed systems, and data sovereignty.
Proven across 7 EU research programmes.
Aces
NEXTGEN
Glactiation
Myrtus
Shift2dc
syclops
Cape
more to come…
