Platform
Deployment Models
Deploy Factobrain in cloud, edge, on-premises, or hybrid configurations — matched to your IT/OT environment, latency requirements, regulatory constraints, and governance model — without forcing a one-size-fits-all infrastructure decision.
Operational challenge
Industrial IoT programs frequently stall not because of the platform, but because of the deployment decision. IT and OT teams have different requirements: IT prefers cloud-managed infrastructure, OT demands low-latency local control, and compliance teams require data residency or air-gapped options. Without a flexible deployment model, one of these requirements always blocks the program. Companies that select a cloud-only solution find that latency-sensitive shopfloor decisions cannot wait for round-trips to the cloud. Companies that go fully on-premises find that scaling to multi-site visibility becomes expensive and operationally complex. Many programs get stuck in architecture debates for months before any machines are connected.
Factobrain approach
Factobrain supports three deployment patterns — cloud-managed, edge-primary, and hybrid — that can be combined and evolved as your program scales. In cloud-managed mode, edge nodes handle local data capture and continuity while analytics, dashboards, and governance run in the cloud. In edge-primary mode, critical decision-making stays local, with selective sync to cloud for reporting. In hybrid mode, each site runs its own edge layer while a central cloud instance aggregates multi-site intelligence for plant leadership and executive reporting.
Expected outcomes
- Faster architecture decisions — structured deployment playbooks reduce months of debate to days
- Lower rollout risk for regulated or compliance-sensitive environments requiring data residency
- Local edge continuity during network interruptions — no production data gaps during cloud unavailability
- Consistent operating model across sites regardless of deployment pattern
- Scalable multi-site visibility without re-architecting as new plants are added
- Reduced total infrastructure cost through shared cloud services across sites
Move from architecture discussion to pilot execution
Book a demo to map this platform pillar into your first KPI-backed deployment.