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Four deployments, one platform.

Each engagement is a working stack — edge hardware, transport, ingest, and the application layer that uses the data. The cases below are representative deployments drawn from current and pilot installations.

Field deployments

Four working systems.

Below: representative deployments spanning utility, civil, agricultural, and commercial-building telemetry. Each entry follows the same structure — the problem we were called in on, the architecture we shipped, the outcome we measured.

CASE.01 — Public safety / utilities

Smart City — connected water & gas monitoring

A municipal pilot covering 410+ utility endpoints across two districts. The brief: replace a 40-minute manual inspection loop with sub-minute leak and pressure-anomaly detection, route alerts directly into the dispatch system, and make the dataset queryable for the public-works analysts.

LoRaWANEdge inferenceGeospatialDispatch integration
412 NODES · 2 DISTRICTS 32.71°N / 117.16°W

Problem

Manual route inspection meant leaks were averaging 6–10 hours between occurrence and detection. Pressure anomalies were invisible until a complaint came in. The city had a SCADA feed but no field-side telemetry where most of the failures actually live.

Architecture

LoRaWAN sensors at 60-second cadence reporting pressure, flow, and acoustic leak signatures. Edge gateway runs a small inference model that flags signatures before the packet leaves the field. Anomalies fan out to operations and the existing CAD system over a webhook adapter.

Outcome

Mean time to detection dropped from hours to seconds. Two leaks identified within the first 30 days of go-live that would not have been found otherwise.

<4sAnomaly → dispatch
STRUCTURAL HEALTH ∆ε 12 µε · σ 0.4
CASE.02 — Civil engineering

Bridge & retaining-wall strain monitoring

Vibrating-wire and MEMS accelerometer arrays mounted on structural members of an aging crossing. The engineering firm wanted continuous strain history between the existing 6-month inspection windows, with cellular failover so a tower outage didn't blind the dataset.

LTE-MMEMSEvent-triggeredCellular failover

Problem

Inspectors couldn't see strain behavior between visits. Catastrophic drift could go unnoticed for months. The previous data-logger setup required physical pickup — useless for proactive maintenance.

Architecture

Edge devices buffer 100 Hz strain windows locally and push event-triggered packets over LTE-M. Cellular failover with on-device flash buffer keeps a rolling 30-day window. Time-series feed into the customer's BI stack via a daily warehouse export.

Outcome

Inspectors get strain-drift alerts before the next scheduled survey. Two early-warning events triggered targeted re-inspections that closed otherwise-invisible risk.

100 HzField sampling rate
CASE.03 — Agricultural venture

Soil & micro-climate telemetry for an ag-tech portfolio

Built for an ag-tech VC's portfolio company. 900 MHz sub-GHz mesh sensors covering 1,200 acres feeding an irrigation-scheduling service. Soil moisture, leaf wetness, and canopy-temperature data drive both daily watering decisions and a downstream ET model that smooths weekly use.

Sub-GHz meshSensor fusionET modelData pipeline
1,200 ACRES · 96 NODES VWC 23.1% · ET₀ 5.2mm

Problem

Irrigation was running on calendar + soil-pit checks. Over- and under-watering were both common and expensive — and the operator had no way to feed the data back into the company's reporting for investors.

Architecture

Battery-friendly sub-GHz mesh at 5-minute cadence. Edge concentrator runs the ET model and emits irrigation decisions; the same stream lands in a warehouse for BI. Mobile alerts for crew leads, dashboards for management.

Outcome

Water use down across the second growing season, with measurable yield uniformity gains. Operator now reports system-level water-per-acre directly to LPs.

-22%Water use, season-over-season
4 SITES · 1,824 POINTS HVAC · ACCESS · OCC
CASE.04 — Smart building fleet

Multi-tenant HVAC, access & occupancy

Integration with an on-site BMS for a contractor managing four commercial buildings. BACnet bridged to MQTT for our microservice fabric. BLE-mesh occupancy nodes added per floor. Access logs streamed to the tenant analytics dashboard. The whole UI is white-labeled on top of our platform core.

BACnet→MQTTBLE meshWhite-labelOn-prem option

Problem

Four buildings, four vendor stacks, four ways to see HVAC and access data. Tenants wanted one portal; the contractor wanted one set of dashboards for SLA reporting and tenant billing.

Architecture

Per-site edge bridge translates BACnet into our MQTT-backed event bus. BLE-mesh occupancy sensors per floor. Microservices for HVAC normalization, access correlation, and tenant-level rollups. On-prem option for the security-sensitive site.

Outcome

One portal, one report, one SLA. Tenant analytics dashboard launched as a white-label product. Now a template the contractor reuses on new acquisitions.

1,824Points under management
CASE.05 — Inventory & asset tracking

The platform doubles as a CMS — for physical things.

The same microservice fabric we use for telemetry is also a working content-management system for physical inventory. Pair it with QR or barcode hardware (or BLE / LoRa asset tags) and the dashboard becomes the single source of truth for what's on the shelf, on the truck, or on the floor — with the device API as the system of record.

QR / barcodeBLE asset tagsCMS-as-platformInventory API
CMS · ASSET FLEET SKU.0x4F12 · BIN.A-204

Problem

Inventory tracking gets stranded between a barcode handheld, a spreadsheet, and an ERP that doesn't see real-time movement. Reconciliation is monthly, off-by-N is the norm, and high-value assets get manually re-counted because no one trusts the system.

Architecture

QR / barcode scanners (or BLE / LoRa asset tags for high-value items) point at the same device API as our telemetry stack. The platform stores SKU and bin records, applies movement events in real time, and feeds the customer's existing ERP via the standard integration adapters.

Outcome

One source of truth across handhelds, fixed scanners, and tagged assets. Live counts available from the same dashboard ops already uses for HVAC or fleet — no separate inventory app to log into.

RealtimeMovement → ledger
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