Spire develops advanced AI/ML platforms for processing vast, multi-modal data sets, transforming raw information into actionable intelligence. Our core differentiator lies in our proprietary edge-to-cloud distributed computing architecture, enabling ultra-low latency analysis and predictive modeling for mission-critical applications.
With over $150M in annual recurring revenue and key contracts with government agencies and Fortune 500 enterprises, Spire's technology is deployed across diverse sectors including defense, logistics, and environmental monitoring. Our recent acquisition of QubitFlow further solidifies our commitment to next-generation data processing capabilities.
Remaining performance obligations not yet recognized as revenue as of September 30, 2025 were more than $200 million.
Source: ir.spire.comSpire was awarded a $11.2 million contract from the National Oceanic and Atmospheric Administration (NOAA) to provide global navigation satellite system (GNSS) radio occultation (RO) data for a one-year period.
Source: ir.spire.comSpire was selected by Deloitte to build eight additional satellites and deliver advanced satellite capabilities, expanding their on-orbit cyber and data operations.
Source: ir.spire.comSpire was awarded a €3 million contract renewal by EUMETSAT, Europe’s meteorological satellite agency, for a one-year period.
Source: ir.spire.comSpire now expects in excess of 30% revenue growth in 2026 for the business remaining after the maritime divestiture
Source: ir.spire.comTackle complex problems in national security, climate modeling, and global logistics using cutting-edge AI, ML, and distributed systems.
Contribute to our patented AI/ML algorithms and integrate quantum computing techniques, pushing the boundaries of real-time data intelligence.
Shape the future of our scalable edge-to-cloud platform, impacting design decisions for petabyte-scale data processing and deployment.
~3 posts/month, 15k+ unique visitors
12 peer-reviewed papers 2023 in IEEE/ACM journals
2 major projects, 5k+ stars on GitHub
10 invited talks at NeurIPS, KDD, Hot Chips 2023-24 (IEEE Spectrum)
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