AxionOrbital Space is a San Francisco Bay Area startup (Y Combinator Winter 2026) building foundation models for continuous Earth observation through clouds and darkness. Its flagship model, ORION, converts Synthetic Aperture Radar (SAR) data into high-resolution, photorealistic optical imagery in real time using deterministic one-step diffusion, overcoming the limitation that traditional optical satellites are unusable roughly 70% of the time due to weather and night cycles. The technology targets 24/7 situational awareness for defense and intelligence, commodities and financial analytics, disaster response, agriculture, and climate monitoring. Founded in 2025 by Dhenenjay Yadav (CEO, former ISRO ML engineer) and Atharva Peshkar (CTO, PhD, CU Boulder / Harvard VCG). At the time of profiling the company is pre-product with no public API, developer portal, or specifications published; this record captures its identity for the API Evangelist network.
Axionorbital Space is profiled on the APIs.io network. Tagged areas include Company, Earth Observation, Satellite Imagery, Artificial Intelligence, and Computer Vision.
Regulatory Posture applies to this provider. Its tags matched the
Horizontal (data, software, accessibility, platform) regime, so
Regulatory Posture carries 15 points of the composite.
If this regime is wrong for your business, say so on your
provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
aid: axionorbital-space
name: Axionorbital Space
description: AxionOrbital Space is a San Francisco Bay Area startup (Y Combinator Winter 2026) building foundation models
for continuous Earth observation through clouds and darkness. Its flagship model, ORION, converts Synthetic Aperture Radar
(SAR) data into high-resolution, photorealistic optical imagery in real time using deterministic one-step diffusion, overcoming
the limitation that traditional optical satellites are unusable roughly 70% of the time due to weather and night cycles.
The technology targets 24/7 situational awareness for defense and intelligence, commodities and financial analytics, disaster
response, agriculture, and climate monitoring. Founded in 2025 by Dhenenjay Yadav (CEO, former ISRO ML engineer) and Atharva
Peshkar (CTO, PhD, CU Boulder / Harvard VCG). At the time of profiling the company is pre-product with no public API, developer
portal, or specifications published; this record captures its identity for the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/axionorbital-space/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
model: unknown
open_source: false
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- none
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source: []
generated: '2026-07-22'
method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://axionorbital.space/assets/axion-full-logo.jpg
tags:
- Company
- Earth Observation
- Satellite Imagery
- Artificial Intelligence
- Computer Vision
- Space Technology
- SAR
- Remote Sensing
- Machine Learning
- Defense and Intelligence
- Geospatial
tags_raw:
- Company
- Earth Observation
- Satellite Imagery
- Artificial Intelligence
- Computer Vision
- Space Technology
- SAR
- Remote Sensing
- Machine Learning
- Defense and Intelligence
- Geospatial
- Computer-Vision
- Machine-Learning
apis: []
common:
- type: DomainSecurity
url: security/axionorbital-space-domain-security.yml
- type: Website
url: https://axionorbital.space/
- type: GitHubOrganization
url: https://github.com/axionorbital
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
x-enrichment:
date: '2026-07-19'
status: backfilled
pass: local-v1
note: backfilled from .gitignore signal + verified work evidence
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