Connect field devices to operational intelligence — end to end
IoT Application Development
We handle the full engineering stack: device onboarding, protocol adaptation, telemetry ingestion, stream processing, rule-based alerting, and operational dashboards. Fragmented field devices become a unified, queryable data layer that drives real operational decisions.
Getting devices online is table stakes — making the data actionable is the hard part
Most IoT projects stall not at connectivity but at operationalization: heterogeneous protocols across vendor fleets, time-series data volumes that overwhelm relational databases, real-time alerting logic that needs to survive network partitions, and dashboards that show data without surfacing insight. We've navigated these problems across industrial parks, environmental monitoring networks, and building management systems. Our engagement model starts with a protocol audit and data flow design before writing a line of platform code.
Devices are online — but the data isn't driving decisions
The gap between 'devices connected' and 'operational intelligence delivered' is where most IoT programs underperform. Protocol heterogeneity, time-series scale, and real-time processing requirements are the three consistent bottlenecks.
Protocol fragmentation drives per-device integration cost
Multi-vendor device fleets running MQTT, Modbus, OPC-UA, and proprietary protocols each require custom adaptation layers. Integration cost scales linearly with device type count and never stops accumulating.
Relational databases can't handle time-series workloads
Sensors writing at 1Hz across thousands of devices saturate relational write capacity and produce unbearable query latency on historical data. Retrofitting a time-series engine mid-project is expensive.
Anomaly detection happens after the damage
Without automated alerting, fault detection depends on someone watching a dashboard or a user filing a complaint. By detection time, equipment has already failed or SLA has already been breached.
Siloed subsystems block cross-domain analysis
Energy, HVAC, security, and production data live in separate systems with no integration layer. Cross-domain analysis requires manual data exports — slow, error-prone, and weeks out of date.
Device clock drift corrupts time-series correlation
Unsynchronized device clocks produce timestamp skew that invalidates multi-device correlation analysis. Causality reasoning and alert sequencing break down when event order is unreliable.
Device identity and access controls are absent
No device authentication at the onboarding layer means the platform can't distinguish legitimate devices from spoofed ones. A compromised edge device becomes a lateral movement vector into the internal network.
Unified ingestion, real-time processing, actionable dashboards
A standardized device onboarding layer, stream processing engine, and rule engine transforms fragmented telemetry into structured, queryable, event-driven operational data.
Multi-protocol ingestion with extensible adapters
A protocol abstraction layer supports MQTT, Modbus, OPC-UA, HTTP, and common proprietary protocols. New device types are added via configuration templates, not new development cycles.
Edge compute reduces upstream bandwidth and latency
Filtering, aggregation, and pre-processing at the gateway tier reduces telemetry volume by 60–80% before cloud ingestion. Local buffering handles connectivity outages without data loss.
Configurable rule engine drives real-time alerting
Threshold rules, composite conditions, and temporal patterns evaluated in the data stream. Multi-channel notification via SMS, email, and WeCom. Multi-tier alert escalation policies configurable without code changes.
Time-series storage designed for the workload
Storage architecture selected for high-frequency write throughput and long-range historical queries. Device health trending and predictive maintenance modeling have the data infrastructure they need.
Automated control loop closure
Rule engine outcomes can trigger actuation commands back to devices — enabling closed-loop automation without human intervention. Appropriate for HVAC control, energy switching, and production line responses.
Unified operational dashboard
Multi-subsystem data consolidated in a single interface. Geographic maps, gauges, trend charts, and alert history. Role-based access controls what each operator and manager sees.
Phased IoT platform delivery model
IoT engagements progress through device onboarding, platform build, and application layers. We validate each layer before building the next.
Site survey & architecture design
Device inventory, protocol audit, network topology assessment. Output: a documented architecture with technology selection rationale and a phased delivery roadmap.
Site survey & architecture design
Device inventory, protocol audit, network topology assessment. Output: a documented architecture with technology selection rationale and a phased delivery roadmap.
Device onboarding & protocol adaptation
Adapter development and device registration. Core device types connected first, data completeness and stability validated before platform build begins.
Device onboarding & protocol adaptation
Adapter development and device registration. Core device types connected first, data completeness and stability validated before platform build begins.
Platform build & data pipeline
IoT platform, time-series database, and stream processing engine deployed. Ingestion, cleansing, aggregation, and storage pipeline commissioned.
Platform build & data pipeline
IoT platform, time-series database, and stream processing engine deployed. Ingestion, cleansing, aggregation, and storage pipeline commissioned.
Alerting rules & control configuration
Business-defined thresholds, alert routing, and control action mappings configured. Alert-to-notification and alert-to-actuation paths tested end-to-end.
Alerting rules & control configuration
Business-defined thresholds, alert routing, and control action mappings configured. Alert-to-notification and alert-to-actuation paths tested end-to-end.
Dashboard development
Operational dashboards developed per user role. Real-time data refresh, historical query, and device management interfaces built and user-tested.
Dashboard development
Operational dashboards developed per user role. Real-time data refresh, historical query, and device management interfaces built and user-tested.
Go-live & operations handover
End-to-end system test, production go-live, operations documentation completed. Operations team trained on day-to-day platform management.
Go-live & operations handover
End-to-end system test, production go-live, operations documentation completed. Operations team trained on day-to-day platform management.
Deployment environments
Scenarios where we have delivered production IoT systems.
Smart building & campus management
Energy, HVAC, access control, and parking subsystems integrated into a unified campus operations platform with automated energy optimization.
Industrial equipment monitoring
Production line asset telemetry ingested in real time. Critical parameter threshold breaches trigger alerts and maintenance workflows before equipment failure occurs.
Environmental monitoring networks
Distributed atmospheric, water quality, and noise sensor networks. Data aggregation, regulatory compliance reporting, and anomaly alerting for environmental authorities.
Energy management
Electricity, water, and gas consumption metered at zone and equipment level. Usage analysis identifies optimization opportunities and supports carbon reporting.
Cold chain & logistics monitoring
Temperature and humidity sensors monitoring storage and transit environments in real time. Breach events trigger immediate alerts. Full telemetry record satisfies regulatory traceability requirements.
Healthcare equipment management
Medical device operational status monitoring, utilization tracking, and energy consumption analysis — providing the data foundation for preventive maintenance scheduling and asset lifecycle management.
Why Metavun
Production IoT delivery experience across industrial, environmental, and campus domains — we understand field conditions, not just cloud architecture.
Field-tested, not just lab-designed
We've delivered in environments with unstable connectivity, legacy device protocols, and no existing documentation. Our designs account for real-world constraints from the first architecture review.
Private deployment supported
Full on-premise or private cloud deployment with no data leaving your network. Meets the security and data residency requirements of government and regulated enterprise clients.
Platform designed for incremental expansion
Separation of device onboarding layer from application layer means new device types and new use cases layer on without requiring platform redesign.
Ongoing operational support
Post-launch support covers device onboarding expansion, alert rule tuning, performance optimization, and incident response. Platform capability grows with operational requirements.
Mature edge compute architecture
Full edge compute stack with local processing, buffering, and replay capability. Network outages don't cause data loss — the gateway stores locally and replays in order on recovery.
Multi-tenant and multi-scenario isolation
Platform supports multiple clients or multiple operational domains on shared infrastructure with strict data isolation. Scaling to new sites doesn't require architectural redesign.
Who we work with
Organizations with physical assets that need to be monitored, managed, or optimized through data.
Campus & real estate operators
Building systems integration and unified campus operations platform to reduce energy cost and operating overhead.
Manufacturing & industrial
Asset health monitoring, predictive maintenance, and production line data visibility.
Environmental & municipal
Distributed sensor network management, regulatory data collection, and compliance reporting infrastructure.
Energy & utilities
Remote monitoring of distributed energy infrastructure and consumption analytics across meter hierarchies.
Cold chain & food industry
End-to-end temperature monitoring, anomaly alerting, and compliance data archiving to support food safety requirements and regulatory audit.
Healthcare & medical facilities
Medical equipment status monitoring, energy management, and preventive maintenance data collection — improving asset utilization and operational efficiency.
Core Technology Stack
From edge compute to cloud platform — selected per deployment context, zero vendor lock-in.
Let's Build Something Great Together
Whether you need a custom AI solution, legacy system modernization, or a production-grade data pipeline — we’re ready to scope, architect, and deliver.
Contact Us