AI & Data Science

Agentic AI for Earth observation and subsurface intelligence.

SpaceSeis builds ML models that sift through satellite mosaics and sensor volumes to produce predictions in hours—surfacing relationships that manual interpretation would never catch.

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Disciplines

Computer vision · Geophysics · MLOps

Models

Transformers · CNNs · Bayesian

Outputs

Classification · Prediction · Simulation

Method

A full machine-learning loop that stays tethered to science.

SpaceSeis uses NASA-inspired best practices: multi-year data ingestion, bias checks, interpretable results, and rapid iteration with subject matter experts.

Ingest

Curate multi-modal data

Imagery, seismic volumes, gauges, and text reports unify into one schema.

Train

Model architectures per task

Transformers for EO segmentation, CNNs for facies classification, GNNs for infrastructure risk.

Validate

Domain-aware QA

Human-in-the-loop checks ensure outputs align with physics and geologic reality.

Deploy

API + edge-ready outputs

Models run on cloud or on the SpaceSeis edge device, with metrics streaming back to dashboards.

AI case file

Automated subsurface facies interpretation.

A transformer model trained on open seismic datasets and proprietary labels now generates facies probability volumes 5× faster than traditional interpretation crews.

Results Accuracy +48%

Meaningful uplift

Precision and recall improved across multiple depositional settings, unlocking new groundwater and CO₂ storage prospects that had been overlooked.

Outputs feed directly into the edge device so interpretation guidance accompanies acquisition.

Model stack Explainable AI

Self-supervised pretraining on 15 TB of labeled and unlabeled data.
Transfer learning for site-specific fine tuning.
SHAP-based interpretability reports for every prediction.

Where AI helps

Operational use cases.

Water stress forecasting

Sequence-to-sequence models predict evapotranspiration and groundwater storage months ahead, supporting ministries planning drought response.

Autonomous QA

Edge AI monitors noise, coverage, and orientation, recommending when to redirect an unmanned vessel.

Risk storytelling

LLM pipelines turn technical signals into executive-ready summaries, quantifying financial and climate impact.

Partner with SpaceSeis AI

Take on the problems that are too complex for manual workflows.

Bring your imagery, sensor archives, or live streams—we will build the models and validation you can trust.

Start an AI engagement