ZECH
Specialist Services · Specialist

Software that gets data off equipment reliably and puts it where decisions are made.

We build the gateway, edge and cloud software that collects sensor and machine data, processes it close to the source when needed, and delivers clean, timestamped data to dashboards, alerts and models.

What we deliver
  • Device and protocol integration
  • Edge gateway software
  • Ingestion and storage pipeline
  • Fleet management
  • Monitoring and alerting
Tools & platforms
MQTT and OPC UAAWS IoT and Azure IoTRust, C++ and PythonInfluxDB and TimescaleDB

Where this helps

Data stuck in the machine
Equipment has sensors and controllers, but readings stay on a local panel or a historian nobody outside the plant can query.
Connections that drop and nobody notices
Devices go offline, clocks drift and gaps appear in the data. By the time someone looks, the week that mattered is missing.
A pilot that does not scale past one site
A proof of concept works on ten devices with hand-configured scripts. Rolling it out to hundreds means rebuilding provisioning, updates and security.

What we deliver

01
Device and protocol integration
Connectors for industrial and IoT protocols that read from PLCs, sensors and controllers and normalize the data.
02
Edge gateway software
Software that buffers data through outages, filters and aggregates locally, and runs models or rules where latency or bandwidth requires it.
03
Ingestion and storage pipeline
Cloud ingestion into time-series and analytical stores, with device metadata, units and quality flags attached.
04
Fleet management
Provisioning, identity, remote configuration and staged software updates for devices and gateways.
05
Monitoring and alerting
Dashboards and alerts for both the equipment signals and the health of the data pipeline itself.

How it works

  1. 01

    Site and signal survey

    We list the equipment, controllers, protocols and network constraints, and agree which signals answer which business question.

  2. 02

    Architecture

    What runs on the device, the gateway and the cloud is decided against latency, bandwidth, connectivity and security needs.

  3. 03

    Pilot on real equipment

    We connect a representative set of assets and run long enough to see outages, drift and real data quality.

  4. 04

    Harden and roll out

    Provisioning, updates, security and monitoring are completed before the rollout expands site by site.

Design decisions we make with you

  • Edge or cloud processing

    Processing at the edge reduces latency and bandwidth and keeps working offline; the cloud is simpler to update and scale. Most systems use both.

  • Security of devices and networks

    Each device gets its own identity and certificates, traffic is encrypted, and operational networks stay segmented from office IT.

  • Data model and time

    Consistent asset naming, units and synchronized timestamps are set early, because every later analysis depends on them.

  • Retrofit versus new sensors

    Existing controllers often hold enough data to start. We add sensors only where a needed signal is missing.

Questions buyers ask

Usually. Many controllers already expose data over standard industrial protocols. Where they do not, a retrofit sensor or a gateway reading an existing interface is often enough. We confirm this in the site survey.

Gateways buffer data locally and send it when the connection returns, with original timestamps preserved, so outages create delays rather than gaps.

Discuss this capability with an engineer.

Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.