[CLOUD] Cloud & Device Platforms

The backbone for ten pilot devices, or a hundred thousand.

Device provisioning, telemetry pipelines, APIs and OTA infrastructure — architected so scaling the fleet doesn't mean rewriting the backend.

[CLOUD]

Cloud & Device Platforms

The backbone that lets a pilot of ten devices become a fleet of a hundred thousand without a rewrite.

  • Device provisioning & fleet management
  • Telemetry & time-series pipelines
  • REST / GraphQL APIs & microservices
  • Multi-tenant & role-based access
  • Security hardening & OTA infra

Where AI accelerates

  • API scaffolding
  • Infra-as-code
  • Schema drafts
  • Boilerplate CRUD endpoints
  • CI/CD pipeline drafts
  • Dashboard/query scaffolding

Where it stays human

  • Security architecture
  • Cost/scale tradeoffs
  • Data-retention & compliance decisions
  • Incident/failure triage
  • Production monitoring & alert thresholds
Medical device cloud platform

Cloud architecture, scoped for health data.

Built around HIPAA-relevant data handling

A medical device cloud platform needs a Business Associate Agreement with any vendor touching PHI, TLS in transit, encryption at rest, role-based access control and audit logging of PHI access — designed at the architecture stage, not retrofitted before submission.

Fleet management for regulated devices

Device provisioning, OTA firmware updates and telemetry ingestion carry extra weight for a medical device — a failed rollout or dropped connection has to degrade safely, and the platform has to log evidence of that behavior for regulatory traceability.

See our full Medical IoT & Connected Medical Device Development page →

Proven in the field

Real builds that leaned on this layer.

Pulled from our case-study library — same AI/human split shown in full, industry context included.

Remote Patient Vitals Patch

US-based digital-health / remote-patient-monitoring startup

A wearable medical patch continuously captures patient vital signs and securely transmits physiological data for remote monitoring.

~33%Estimated AI-first engineering effort reduction
Read full case study →

Solar Micro-Inverter Fleet Monitoring Platform

US-based renewable-energy / solar technology company

A connected platform collects operational telemetry from distributed solar micro-inverters, giving fleet-wide visibility into performance, health and faults.

~33%Estimated AI-first engineering effort reduction
Read full case study →

Smart-Home Router with Distributed Home Sensors

US-based smart-home / consumer networking company

A central smart-home router/gateway connects distributed home sensors on one platform for device provisioning, monitoring, automation and user control.

~38%Estimated AI-first engineering effort reduction
Read full case study →
Common questions

What people ask before scoping this layer.

Which clouds do you build on?

AWS IoT and Azure IoT most often, chosen by what your existing stack or team already uses — we don't default to one vendor regardless of fit.

How do you think about multi-tenant architecture?

Role-based access and tenant isolation are designed into the schema from day one — retrofitting multi-tenancy after launch is one of the more expensive mistakes we help teams avoid.

What's the AI/human split in practice here?

AI drafts API scaffolding, infra-as-code and schema proposals; a senior engineer owns security architecture and every cost/scale tradeoff.

Can you take over an existing backend?

Yes — we audit the current architecture, telemetry pipeline and security posture before proposing whether to harden, re-platform, or leave specific pieces alone.

Field Notes

What we've written about device APIs, multi-tenancy and connectivity.

[CLOUD]

API Design for Device-to-Cloud Communication: REST, MQTT, or Both?

Why most IoT platforms end up using both a pub/sub protocol and REST APIs, and how to split responsibilities between them.

Read the article →
[CLOUD]

Multi-Tenant SaaS Architecture for IoT Platforms: Data Isolation Patterns

The real tradeoffs between shared, isolated, and hybrid data models when a platform serves multiple customer organizations.

Read the article →
[CLOUD]

BLE vs. Wi-Fi vs. LoRaWAN vs. Cellular: Picking the Right Connectivity

Range, power, cost and infrastructure tradeoffs across the connectivity options a connected product actually has to choose between.

Read the article →

Looking for a partner who handles firmware, cloud, and app together? See who owns the whole stack.

Need smart contracts or a Web3 layer alongside the platform? See our blockchain & Solidity development.

Want the platform stress-tested and security-tested before launch? See our cloud security & penetration testing service, or how we approach cloud penetration, load and security testing.

Scaling past a pilot fleet and need the backend to keep up?