Which IoT platform should be chosen?

Selection is driven by existing cloud footprint, device scale, protocol needs and analytics ambitions. AWS IoT is a common fit for large device counts and existing AWS estates; Azure IoT for enterprises with heavy Microsoft and OT integration; Google Cloud paired with BigQuery for analytics-first use cases, using currently supported services and qualified partner device-management platforms rather than the retired Google Cloud IoT Core product. Multi-cloud designs are supported where required.

How is hyperscaler lock-in managed?

MQTT and OPC-UA are used at the edge, time-series backends and event contracts are portable, and the data model remains independent of any single hyperscaler. Native accelerators are used where they add clear value rather than as gate-keepers to the estate.

How is security handled at large device counts?

Per-device identity using X.509 certificates with TPM or secure element, least-privilege policies, mutual TLS, signed OTA, network segmentation and continuous telemetry into the SOC are applied by default — the same zero-trust posture used for enterprise identity, at IoT scale.

Do you only deploy from scratch, or can you fix what we already have?

Both. Most of our engagements start with an audit of the existing stack — rulebases, policies, coverage, integrations, backups — and a fixed-scope remediation sprint against the findings. We only recommend replacement when the current tooling genuinely can't get you where you need to be.

What happens after go-live — do you support and maintain what you deploy?

Yes. Implementations can be wrapped with a Jiva Technologies AMC covering L1/L2/L3 support with agreed response tiers, preventive maintenance, firmware and policy hygiene, vendor-TAC escalation, licence renewal, and periodic architecture reviews. Ongoing monitoring, detection, and response can be extended under a separately contracted Managed Security engagement scoped to the customer's coverage requirements.

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IoT Platform Integration

Any device. Any protocol. One data plane.

Jiva Technologies designs, integrates and supports IoT platform architectures spanning AWS IoT, Microsoft Azure IoT and Google Cloud (through currently supported services and qualified partner device-management platforms). Edge compute, protocol translation, digital twins, per-device X.509 identity, signed OTA firmware and time-series analytics backends form a single, governed data plane for downstream analytics, applications and enterprise systems.

"One identity per device. One data model per estate. One platform to operate."

Cloud Platform Coverage

Multi-hyperscaler

AWS IoT, Azure IoT and Google Cloud integration through supported services and partner platforms.

Deployment Topology

Edge-to-cloud

Ruggedised edge gateways, hybrid platforms and cloud analytics.

Data & Event Model

Open contracts

MQTT, OPC-UA and portable time-series contracts limit lock-in.

What we deliver

Cloud IoT Platforms
AWS IoT Core and Microsoft Azure IoT Hub / Device Provisioning Service for device registry, secure MQTT, digital twins, rules engines and time-series storage. Google Cloud device connectivity is delivered through currently supported services such as Pub/Sub, IoT-integration patterns and qualified partner device-management platforms — the retired Google Cloud IoT Core product is not used for new designs.
Edge Compute & Gateways
AWS IoT Greengrass, Azure IoT Edge, KubeEdge and multi-vendor container runtimes on ruggedised gateway hardware for inference, protocol translation and store-and-forward buffering where latency and bandwidth matter.
Protocol Translation
BACnet, Modbus, LonWorks, KNX, LoRaWAN, Zigbee, Z-Wave, OPC-UA and MQTT normalised into a unified data model for downstream analytics, applications and enterprise systems.
Device Identity & Provisioning
X.509 certificates, TPM and secure-element attestation and zero-touch onboarding so every device is uniquely identified, revocable and traceable through its lifecycle.
Digital Twin Modelling
Asset, site and process twins expressed in DTDL or open ontology so downstream analytics, applications and AR / VR consumers read from a single graph.
API & Event Orchestration
REST, GraphQL, Kafka, AWS EventBridge and Azure Service Bus for clean event contracts between the IoT layer and enterprise systems, avoiding point-to-point integrations.
Time-Series & Analytics Backend
InfluxDB, TimescaleDB, AWS Timestream and Azure Data Explorer for high-cardinality telemetry stored efficiently and queried in milliseconds.
OTA Firmware Management
Signed, staged over-the-air firmware rollouts with rollback for vulnerability patching and feature delivery across large device fleets without truck rolls.

Signals we hear

Why teams call us

4 recurring gaps

Multiple pilots, no scalable platform
Business units run isolated IoT pilots on different platforms, tools and event contracts, with no shared identity, data model or operational governance.
Devices onboarded without lifecycle identity
Devices ship with shared secrets or default credentials, are not enrolled through a certificate authority, and cannot be revoked or rotated safely at scale.
Protocol integrations built point-to-point
BACnet, Modbus, OPC-UA and MQTT flows are wired directly into individual applications, creating brittle integrations that break on every controller or vendor change.
Firmware and vulnerability management ad hoc
There is no signed, staged OTA process; device fleets accumulate known vulnerabilities and functional debt because updates require on-site intervention.

How we engage

Our approach

Move from pilots to platform scale through cloud and edge selection, identity and provisioning design, integration, and lifecycle management of devices and firmware.

Assess
Inventory devices, protocols, existing pilots, cloud footprint, analytics needs, security posture and integration points with enterprise IT and OT systems.
Design
Select cloud and edge platforms; define device identity, provisioning, data model, digital twin schema, API and event contracts and the OTA / vulnerability process.
Integrate
Onboard devices through certificate-based provisioning; deploy gateways and edge workloads; publish APIs and events; and connect analytics, applications and enterprise systems.
Operate & Improve
Manage device, firmware and certificate lifecycle; monitor platform health; refine data models and event contracts; and evolve the estate through modernisation.

End-to-End IT Integration and Support

From assessment and solution design through implementation, remediation, ongoing support, and lifecycle optimization.

Fix What's Broken — Remediation Sprints

Offline sensors, unreliable gateways, broken protocol integrations, duplicate or missing telemetry, dashboard drift, expired certificates, alarm floods, or an IoT / OT pilot that never scaled? Jiva Technologies runs fixed-scope remediation sprints across the device, network, platform and integration layers.

Sensor, meter and gateway health audit, firmware baselining and connectivity fixes
Protocol integration cleanup (BACnet, Modbus, OPC UA, MQTT, LoRaWAN, LTE-M)
Data-model, KPI, dashboard and alarm rationalisation with tag / battery lifecycle fixes

Request a remediation scope

Support & Maintenance — AMC-Backed

Keep IoT, OT and smart-building estates running after handover — device health, platform hygiene, certificate and firmware lifecycle and vendor coordination under a Jiva AMC.

L1 / L2 / L3 technical support for leading IoT, edge, BMS, SCADA and analytics platforms
Preventive maintenance, sensor calibration, firmware, configuration backup and licence renewal
Vendor escalation, periodic service reviews and documentation refresh

Explore AMC & support contracts

Continue exploring

Turn IoT pilots into a scalable platform

Design a governed IoT data plane across edge and cloud

Review devices, protocols, existing pilots, cloud footprint, analytics goals, security posture and enterprise integration points. Jiva Technologies can assess, design, implement, integrate, remediate and support a phased IoT platform architecture across single sites or global estates.

Request an IoT Platform Assessment Explore OT & IoT Cybersecurity