Machine Learning
Complex models, delivered as production systems
We build machine learning that runs, not experiments that stall in a notebook. From data pipeline to inference API to monitoring, we own the whole path and prove accuracy against your real data.
Capabilities
Ranging from forecasting to full 3D understanding
Finance forecasting
Revenue, demand, pricing, and risk models with rigorous backtesting, feature attribution, and uncertainty ranges.
Image segmentation
Semantic and instance segmentation for roofs, panels, vegetation, damage, and defects at production accuracy.
Image classification
Material, condition, and category classification with active learning and human review for edge cases.
3D fusion
Fusing LiDAR, photogrammetry, and multi-view imagery into unified, measurable 3D reconstructions.
3D segmentation
Point-cloud and mesh segmentation separating structures, terrain, vegetation, and obstructions.
3D classification
Object and asset classification in three dimensions for inspection, measurement, and planning workflows.
How we work
Honest evaluation before big investment
We start with a feasibility spike against your data so you know what accuracy is achievable before committing to a full build.
- Data audit, labeling strategy, and annotation tooling where ground truth is missing
- Baseline models first, then targeted architecture work where it actually moves the metric
- Held-out evaluation with the business metric, not just loss curves
- Inference served as versioned APIs or batch pipelines your product can rely on
- Drift detection, alerting, and scheduled retraining so accuracy does not quietly decay
- Documentation and handoff so your team can operate and extend the system
Where models meet product
A model only matters when a user feels it. We ship the interface too, quoting tools, dashboards, review queues, and mobile capture flows.
Geospatial depth
Much of our ML work is spatial: aerial imagery, LiDAR, and mapping data. That expertise is a core service, not a side project.
Sensible compute
Right-sized training and inference infrastructure, with cost per prediction tracked from day one.
Talk to us
Have a hard modeling problem?
Describe the data you have and the decision you want to automate. We will tell you straight whether machine learning is the right tool.