
Air Force STTR Phase I proposal submitted
Submitted Small Business Technology Transfer Phase I proposal to the Department of the Air Force for AI reliability on space-grade hardware, in collaboration with an academic research institution.
Milestones, partnerships, and progress as we build autonomous AI agents for satellite payloads.

Submitted Small Business Technology Transfer Phase I proposal to the Department of the Air Force for AI reliability on space-grade hardware, in collaboration with an academic research institution.

Advancing engagement with multiple DARPA programs focused on rapid space system prototyping and autonomous on-orbit AI processing capabilities.

Initiated compatibility partnership with a space-qualified computing hardware manufacturer for AI inference payload deployment on their orbital processing platform.

Secured access pathway to next-generation geospatial segmentation models from Google, enabling high-resolution land cover classification for satellite edge deployment.

Participated in a four-day Department of Defense rapid capability assessment for autonomous satellite intelligence. One of 40 technology companies selected from over 700 applicants.

Delivered presentation on satellite AI hardware optimization at the Edge AI Foundation Generative AI Forum, covering deployment challenges for space-constrained environments.
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Confirmed speaking slot at the Edge AI Foundation Summit in London (June 2026) on autonomous satellite intelligence.

Confirmed for the "Agentic AI meets the physical world" panel at Hardware Pioneers MAX in London (June 2026).

Joined a Department of Defense space command commercial integration working group for commercial technology integration into space operations.

Submitted position paper to the White House Office of Science and Technology Policy on edge AI for space-based earth observation, addressing intelligence latency reduction.

Initiated engagement with a Department of Energy national laboratory exploring collaboration on hyperspectral AI and earth observation science.

Submitted capabilities across DoD space, defense innovation, and intelligence community acquisition programs.

Approved as registered vendor on the European Space Agency procurement platform, enabling direct participation in ESA programs and international space tenders.

Initiated technical discussions with a NASA research center on autonomous satellite intelligence for mission planning and space operations.

Selected for a Department of Defense rapid capabilities assessment for autonomous satellite intelligence.

Submitted research abstract for autonomous on-orbit AI processing to DARPA Strategic Technology Office.

Submitted research proposal to the National Geospatial-Intelligence Agency for geospatial AI capabilities.

Completed technical deep-dive with Google foundation model team. Invited to shape requirements for upcoming geospatial segmentation capabilities.

Initiated technical collaboration with Loft Orbital for AI payload deployment on their satellite constellation, including exploration of three-way integration with Google foundation model capabilities.

Advancing deployment collaboration with D-Orbit for on-orbit AI payload integration on their satellite carrier platform, targeting first orbital mission in 2026.

Filed three provisional patent applications covering dual-tier AI orchestration for satellite observation, foundation model deployment on power-constrained edge hardware, and constellation-agnostic AI deployment middleware.

Live monitoring system tracking global natural hazards with autonomous satellite imagery analysis.
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Approved as member of defense Other Transaction Authority consortium, enabling streamlined access to DoD rapid acquisition programs.

Designated as strategic partner in the EDGE AI Foundation ecosystem. Only space-focused partner in the organization.

Verified under 10 U.S.C. 3014 as a nontraditional defense contractor, enabling participation in Other Transaction Authority programs across DoD.

Completed Cybersecurity Maturity Model Certification Level 1 self-assessment, establishing baseline security compliance for defense contracts.

Federal entity registration completed with active SAM.gov status, CAGE code assignment, and full NAICS code coverage.

ADA Space launched an AI constellation with 8 billion-parameter models running in orbit, 744 TOPS per satellite, and 5 PFLOPS aggregate compute across the constellation.

The Department of Defense released an updated AI strategy with seven pace-setting projects, mandating AI compute expansion from datacenters to the tactical edge with demos due July 2026.

Redesigned company website with expanded platform overview, intelligence dashboard, and government resources.
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Planet Labs acquired Bedrock Research, an on-orbit edge AI company, demonstrating acquisition-level value for satellite AI software and validating the independent application layer thesis.

An NVIDIA H100 GPU was launched to orbit for the first time, enabling AI model training in space and establishing GPU-class compute as a platform available for orbital applications.

Over $500 million invested in satellite edge AI companies in the past twelve months, spanning hardware platforms, AI applications, and defense-grade inference systems.

Godel Space highlighted as an emerging Seattle-area startup building AI for satellite earth observation.

Successfully ran earth observation foundation models on satellite-class edge GPU hardware, validating the core technical thesis.

Admitted to Google for Startups cloud program with cloud credits and technical support.

Accepted into Google's geospatial foundation model early access program for next-generation earth observation AI capabilities.

Accepted into NVIDIA Inception program for AI startups, gaining access to NVIDIA edge AI platforms, technical resources, and go-to-market support.

First version of the company website launched, establishing Godel Space's online presence.

Company incorporated in Delaware. Named after Kurt Godel, whose incompleteness theorems proved that some truths can only be seen from outside a system.
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