Capability statement

01 · Firm identification

EarthByte Lab LLC

02 · Core competencies

Five services

• 01Reality Capture & LiDARDrone LiDAR, photogrammetry, Gaussian splatting
• 02Satellite Analytics & Change DetectionMultispectral, SAR, time-series monitoring
• 03Machine Learning & Predictive ModelingYield, risk, and anomaly models on geodata
• 04Hyperspectral Data AnalysisCrop classification, disease, and nutrient prediction
• 05Enterprise GIS & ApplicationsPipelines, dashboards, and web mapping
• 06Advisory & TrainingMethod design, review, and team enablement

03 · Differentiators

Why clients pick us

• Published methods

  The methods we apply to client work are peer reviewed. 17 publications, over 500 citations. Reviewers have already checked the math.

• Delivery as a URL

  Scenes, maps, and dashboards open in any modern browser. Your legal, operations, and field staff review the same evidence without a GIS seat.

• Ph.D.-level method design

  Study design, validation strategy, and quantified error on every model we ship. We report the limits alongside the result.

04 · Past performance

Delivered work with numbers attached

• Center for Robust Decision Making on Climate and Energy Policy (RDCEP), University of Chicago

  Machine learning for groundwater management across U.S. agricultural regions

  R² > 0.85

  Prediction accuracy

• Croptix Inc., agricultural technology company

  Field-speed plant stress detection from spectral data

  92.3%

  Classification accuracy

• Capability demonstration on a live transmission corridor

  Utility corridor inventory from a single flight

  14

  Conductors identified from one pass

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