SI Analytics

Name: SI Analytics
Brand: SI Analytics

AI·DL based Satellite image analysis company "SI ANALYTICS

Est 2018|Valuation $53.4M|Raised $18.3M|5 Ref Customers

LinkedIn 2K|Web traffic 1K|FTEs 37|HQ Yuseong, Daejeon, KR

Where SI Analytics may show strengths: - Model tooling designed for GEOINT tasks (object detection, segmentation, classification, enhancement) - A monitoring-focused product posture (OVISION Int) - Partnerships within the space and government-adjacent ecosystems, as indicated in public materials Where competitors may have advantages: - Maxar and Planet provide more established imagery supply chains and cataloging capabilities - Platform ecosystems such as Earth Engine and UP42 tend to have deeper developer tooling, documentation, and broader community adoption Adoption signals: - Public directories typically list SI Analytics as a mid-sized team. Awards and partner listings indicate industry engagement, but independent market share metrics were not located.

01Competitive Landscape

Narrative analysis

Where SI Analytics may show strengths:

Model tooling designed for GEOINT tasks (object detection, segmentation, classification, enhancement)
A monitoring-focused product posture (OVISION Int)
Partnerships within the space and government-adjacent ecosystems, as indicated in public materials

Where competitors may have advantages:

Maxar and Planet provide more established imagery supply chains and cataloging capabilities
Platform ecosystems such as Earth Engine and UP42 tend to have deeper developer tooling, documentation, and broader community adoption

Adoption signals:

Public directories typically list SI Analytics as a mid-sized team. Awards and partner listings indicate industry engagement, but independent market share metrics were not located.

	SI Analytics (OVISION)	Maxar (imagery + analytics)	Planet (imagery + monitoring)
Starting Price	Quote (not publicly listed)	Quote	Quote / program-based
Best For	Defense/public-sector GEOINT workflows; AI modules for detection/segmentation/classification	High-resolution imagery plus analytic services; enterprise/government	High revisit frequency monitoring, broad imagery catalog, partner ecosystem
Key Strength	Machine-learning models applied to satellite imagery; monitoring-focused platforms (Int/Earth)	Data depth and resolution options; mature enterprise delivery	Temporal coverage/revisit; scalable monitoring workflows
Key Weakness	Limited publicly available independent evaluations; few published security/compliance documents; pricing not transparent	Can be expensive; complex contracts and licensing	High-resolution requirements may need add-ons/partners; export controls and licensing constraints

SI Analytics

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map