Building European private cloud & edge for AI, data, and critical systems

Collaborating with industry leaders

Public cloud is limited when data is sensitive and latency matters

That is why we are building Powerful Edge as a Service (PEaaS): to keep sensitive data and time-critical systems on site while other services stay in the public cloud.

HIRO PEaaS STACK

Cognitive Framework

A full-lifecycle ML platform for your team: datasets, training, versioning and serving in one workspace.

Cognitive Framework: datasets list with type badges

Dataset and model versioning

Keep datasets, models and training history organised, with each model version linked to the dataset, parameters and pipeline used in training.

Reusable training workflows

Improve models through repeatable experiments: adapt existing workflows and compare parameters, metrics and results to see what works best.

Hardware-aware deployments

Serve models to your applications on your own infrastructure, with compute and memory sized to each model’s requirements.

Controlled model updates

Keep applications running during model updates with canary rollouts, performance monitoring and quick rollbacks.

Dataspace

A federated platform for training models and running analysis on restricted or sensitive data.

Dataspace: usage policy with purpose, duration and output constraints

Shared data catalogue

Find training data across biobanks and partner organisation, with clear usage terms and descriptions.

Owner-defined access

Let partners work with your data within limits you set. Enforce permissions by role, organization, purpose and duration, and revoke access when needed.

Federated learning

Train models and run analysis on data partners cannot transfer. Approved workloads run at source, under the owner’s rules.

Immutable audit trail

Account for data use in audits and internal reviews with encrypted records of access, queries and exports.

Resource orchestration

A resource-aware Kubernetes orchestration platform for continuous optimisation across distributed sites.

Orchestration: placement plan with monthly savings, move progress, downtime and workload moves

Orchestration: $2,612 saved per month, 7 of 24 moves done, 0 ms median downtime

Autonomous sites

Operate each site independently, with local workload management and recovery. A peer-to-peer control plane coordinates work between sites.

Adaptive scheduling

Maintain application performance by moving workloads away from overloaded or unhealthy nodes.

Automatic rightsizing

Free up capacity for other applications by adjusting resource allocations to actual usage.

Predictive autoscaling

Maintain performance and uptime by scaling capacity before demand spikes.

We bring private cloud to critical systems in Europe

Private AI, distributed data systems and edge infrastructure developed with partners for healthcare, public-sector, energy and network.

Nextgen

Training AI on hospital data without exposing patient records

Glaciation

Distributing data processing for Italy’s national payroll service

ACES

Extending power-grid analytics across distributed edge infrastructure

CAPE

Building edge infrastructure that can evolve without a full rebuild

Shift2DC

Reducing power losses in edge data centers with direct current

MYRTUS

Keeping distributed data consistent from edge to cloud

SYCLOPS

Keeping AI acceleration open and portable across hardware platforms

BRAINE

Bringing data-center capacity to the network edge

Request a HIRO demo

See how HIRO can help you keep control of AI, data and critical systems while you continue to use public cloud where it fits.

Request a demo