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Federated learning control plane

Train anywhere. Deploy everywhere.

Orchestrate privacy-first model training across your entire device fleet with real-time observability, automated governance, and edge-optimized MLOps.

Book a demo Launch console
3.4x

Device participation lift

72%

Faster model iteration

28%

Lower on-device energy cost

Built for teams in health, retail, fintech, mobility, and IoT
ClinicOps NovaBank FleetGrid Orbit Retail Pulse Mobile

Platform

Everything to ship reliable federated models

From secure aggregation to device policy enforcement, keep every round compliant and production-grade.

Private-by-design training

Train models where data lives using secure aggregation, client isolation, and audit-ready governance.

Fleet orchestration

Coordinate millions of devices with policy-based cohorts, staged rollouts, and zero-downtime updates.

Real-time observability

Track accuracy, energy use, and drift with live dashboards, traces, and alerting hooks.

Edge-to-cloud pipelines

Ship models from research to production with CI/CD, model registry, and automated evaluation.

Release cadence

Shadow evaluation

Holdback checks across 8 regions

Secure aggregation

Live round with 12k clients

Progressive rollout

Ramp 5% → 25% → 100%

Workflow

Align research, infra, and product in one console

Launch collaborative federated training without juggling spreadsheets, scripts, and disconnected monitoring tools.

01

Define cohorts

Target the right device groups with compliance-friendly controls and schedule windows.

02

Run federated rounds

Launch training rounds with adaptive client sampling and secure aggregation.

03

Ship safely

Promote winning checkpoints with guardrails, rollback, and continuous validation.

Insights

Turn device signals into operational clarity

Operational scorecards

Monitor fairness, drift, energy budgets, and retention in real time.

Fairness Drift Energy

Secure governance

Automate compliance checks with regional policy templates and exportable audit logs.

HIPAA GDPR ISO 27001

Device-aware rollouts

Balance performance with device health using adaptive sampling strategies.

Battery Latency Reliability

Stories

Teams ship faster with privacy-first AI

“We moved from quarterly model updates to weekly releases without compromising compliance.”
VP Data, Global Mobility 3.1M devices
“The cohort controls let us match model rollouts to our clinical governance requirements.”
Head of ML, Healthcare Network HIPAA-grade governance
“EdgeML finally made device telemetry useful for the product team.”
Director of Product, Fintech 72% faster iteration

Ready to put federated learning into production?

Get a tailored walkthrough and a sandbox aligned to your fleet and compliance needs.

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