We turn EO SOTA into production systems your team can run.
Hyperalis Labs helps startups and companies adopt state-of-the-art Earth observation AI without building a research group from scratch. We implement modern models, engineer reliable pipelines, and transfer the technical know-how your team needs to operate them.
Infrastructure and Utilities
Agriculture and Forestry
Climate and Land
Synthetic Data
What we deliver
You bring the problem and business context. We deliver the research translation, engineering execution, and technical handover required to run EO AI in production.
Research Translation and System Design
Map your use case to current literature, select viable model families, and define architecture, data contracts, and evaluation protocol.
Model, Pipeline, and MLOps Engineering
Build training and inference pipelines for optical and SAR data with reproducible experiments, versioned artifacts, and deployment-ready interfaces.
Team Enablement
Ship documentation, training sessions, and runbooks so your engineers can maintain, monitor, and extend the solution after launch.
How we engage
Each engagement follows a technical path that keeps method choices explicit, engineering quality high, and ownership transferable to your team.
What success looks like
From day one, we structure work around measurable outcomes: faster decision cycles, reliable model behavior, and clear operational ownership.
Faster Time-to-Value
Shorten the path from new imagery to usable outputs for product and operations teams.
Reliable Technical Foundation
Use reproducible pipelines and explicit evaluation criteria to reduce model and deployment risk.
Internal Capability Growth
Build internal confidence through technical handover, training, and operational runbooks.