AI & Data Engineering
Data pipelines and end-to-end AI/ML — from observation to insight, edge to ground.
We build software that follows data from observation to insight. Calibration pipelines that turn raw telemetry into science products. Training systems that turn labeled datasets into deployable models. Analytics that turn archives into discoveries.
Our work spans the full data lifecycle: processing, learning, and exploitation — on the ground, at the edge, or in orbit.
We don't build mission control systems. We build what happens to the data after it arrives.
Featured Talk
AI in Space – Mission Resilience and Autonomy
Presentation exploring onboard AI deployment, real-time orbital data processing, and autonomous decision-making in resource-constrained space environments.
Our Approach
What We Build
Data Pipelines
Telemetry parsing, calibration, Level 0–2 processing, batch orchestration
AI/ML Systems
Use case evaluation, dataset curation, model training, edge deployment
Archives & Access
Long-term storage, query interfaces, data distribution systems
Where It Runs
We select the architecture that fits your mission and data volume.
Capabilities
Data Pipelines
Telemetry parsing, bulk calibration, Level 0 through Level 2 processing, batch orchestration, quality assurance.
AI/ML Systems
Use case evaluation, dataset curation and labeling, training infrastructure, quantization-aware optimization, edge and ground deployment.
Archives & Access
Long-term storage, query interfaces, data distribution, community access portals.
Edge Computing
Onboard processing, embedded inference, bandwidth-efficient operations, autonomous alerting.
End-to-End ML Lifecycle
Scope
Define & Assess
Curate
Collect, Label & Split
Engineer
Features & Pipeline
Train
Fit & Optimize
Validate
Test & Evaluate
Deploy
Serve & Monitor
From use case to production — we own the full lifecycle, whether deploying onboard a satellite, on a drone, or in a ground-based environment.
Technologies
Languages
- Python
- Scala
- C / C++
Data & Processing
- PostgreSQL
- Time-series DBs
- Apache Spark
ML Frameworks
- PyTorch
- TensorFlow / TFLite
- YOLOX
- Quantization tools
Labeling & Auto-Annotation
- CVAT
- Segment Anything (SAM)
MLOps & Data Versioning
- DagsHub
- DVC
- MLflow
- Airflow
Edge Platforms
- Xilinx Zynq / UltraScale+
- Vitis AI / DPU
- Buildroot / Embedded Linux
Infrastructure
- HPC clusters
- Kubernetes
- Cloud platforms
Standards
- CCSDS
- FITS
- PUS-C
Project Heritage
STIX Ground Pipeline
OperationalScientific data pipeline for the STIX X-ray telescope on ESA's Solar Orbiter. Processing, calibration, archiving, and distribution to the science community. From raw telemetry (L0) to science-ready products (L2).
Onboard Object Detection
DemonstratedReal-time AI inference at 10.5 Mpx/s on resource-constrained platforms. YOLOX optimized for Xilinx UltraScale+ at 26W power budget.
View productImage Preprocessing Pipeline
CompletedTensorFlow-based onboard image preprocessing for embedded satellite payloads. Demosaicing, calibration, geometric correction, and projection — integrated with CI/CD automation and QEMU-based validation.
We also apply our data engineering and ML expertise in non-space domains including logistics optimization, computer vision, and industrial analytics.
Related Services
Planning a Data System?
Whether you're building a new pipeline, deploying ML at the edge, or scaling an existing archive — we'd like to hear about your project.