Space Data Analytics — Telemetry, IoT & Image Recognition
Analytics for space data — IoT, telemetry, and image recognition.
Rock Your Data brings its data engineering and AI expertise to the space domain. We build analytics for space data at scale — ingesting IoT and satellite telemetry, running image recognition and computer vision over Earth-observation and sensor imagery, and turning it all into mission and operations dashboards.
This practice is rooted in real experience: our founder spent three years in space manufacturing before a career in data and IT, and now also leads Player One Space (playeronespace.com). That background lets us speak both languages — spacecraft engineering and modern data — and apply the modern data stack to telemetry, IoT, and imagery workloads.
What we do
- Telemetry and IoT ingestion pipelines (streaming and batch)
- Image recognition and computer vision on satellite/sensor imagery
- Time-series processing and anomaly detection
- Geospatial and Earth-observation data processing
- Mission, telemetry, and operations dashboards
- Scalable storage and compute for high-volume sensor data
What you get
- Telemetry/IoT pipelines tuned for space data volumes
- Image-recognition models and processing workflows
- Operational dashboards for missions and monitoring
How we work
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01
Scope
Map your space data sources, formats, and objectives.
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02
Ingest
Build pipelines for telemetry, IoT, and imagery.
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03
Analyze
Apply CV/ML and time-series analytics to the data.
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04
Operate
Deliver dashboards and ongoing monitoring.
Frequently asked questions
What kind of space data do you work with?
Satellite and spacecraft telemetry, ground-station IoT and sensor feeds, and Earth-observation imagery. The engineering is the same modern data stack — the domain knowledge is what makes it usable.
Do you only work with space companies?
No. This is one practice among several. The telemetry, IoT, and computer-vision work also applies to manufacturing, energy, and transport.
Ready to talk about Space Data Analytics?
Tell us what you are working on. We reply within one business day, and we will tell you plainly if we are not the right fit.