Space Shift Inc. (Headquarters: Chiyoda-ku, Tokyo; CEO: Naruo Kanemoto; hereinafter "Space Shift") has launched the official SDKs (Python / JavaScript & TypeScript) and CLI (command-line interface) for its satellite data analytics API, SateAIs™ API. Both are released as open-source under the MIT License and can be immediately installed via PyPI and npm.

In April 2026, Space Shift launched the beta version of "SateAIs API," enabling self-service AI analysis of satellite data, with SDK support planned for future rollout. With the launch of these official SDKs and CLI, peripheral implementations such as HTTP request handling, authentication, and polling for job completion are now managed by the SDK. This allows customers to integrate satellite data analysis into their internal systems or analytical pipelines with just a few lines of code.

What You Can Do with the Official SDKs and CLI

Execute analysis with just a few lines of code — From initiating analysis to retrieving results (GeoJSON), everything is completed through SDK method calls. The built-in auto-wait feature eliminates the need to manually implement state management for asynchronous jobs.

Designed to fit into existing development environments — The Python version is tailored for integration into data analysis and GIS workflows. The JavaScript version is dependency-free, includes type definitions, and runs on both Node.js (18+) and modern browsers.

Automate without writing code using the CLI — The sateais command enables analysis execution and result retrieval directly from the terminal. By integrating into shell scripts or cron jobs, routine monitoring tasks can be automated without any programming.

<Python — Detect ships and retrieve results in a few lines>

from sateais import Client

client = Client()

job = client.analyze.ship(scene_id="S1A_IW_GRDH_...")

result = client.jobs.wait(job.job_id)

<CLI — One command to analyze and save results>

sateais analyze ship --scene-id S1A_IW_GRDH_... --wait -o ships.geojson

Available Packages

Package

Supported Languages/Environments

Installation

sateais (SDK + CLI)

Python 3.x

pip install sateais

@sateais/sdk

JavaScript / TypeScript

(Node.js 18+ / Browser)

npm install @sateais/sdk

Both packages allow unified access to all SateAIs API analyses—including ship detection, oil spill detection, new building detection, disappeared building detection, and time-series change detection—via a consistent interface. Source code is publicly available on GitHub (sateais-py / sateais-js) under the MIT License. Comprehensive guides and references for both SDKs have been added to the SateAIs API Docs.

How to Use SateAIs API

Simply register an account and generate an API key via the SateAIs API Console (https://console.spcsft.com/), then install the package to get started. The Free plan (free, 500 credits per month) allows you to try all analysis features.

*Note: SateAIs API is currently in beta; features and pricing are subject to change without notice. SLA (uptime guarantee) does not apply.

Future Developments

Space Shift will continue to expand SateAIs API as a core channel for satellite data analytics. Beyond the current SDKs and CLI, the company plans to enhance supported satellites and analysis features, integrate with generative AI, and improve the overall user environment—accelerating the adoption of satellite analytics across industries and job roles.

SateAIs

https://sateais.com/

SateAIs API

https://console.spcsft.com/

SateAIs API Docs (SDK Reference)

https://docs.spcsft.com/

CLI / SDK

https://sateais.com/delivery-api-sdk

GitHub

https://github.com/spaceshiftinc/sateais-py

https://github.com/spaceshiftinc/sateais-js

*For past press releases, please refer to:

SateAIs API Beta Launch: https://www.spcsft.com/news/4534/

Addition of Fill Detection AI: https://www.spcsft.com/news/4484/

Addition of Ship Detection AI and Oil Spill Detection AI: https://www.spcsft.com/news/3794/

About SateAIs

SateAIs is an analytical brand that systematizes Space Shift's satellite data analysis algorithms by use case and delivery format, under the concept of "Satellite × AI Analytics as a Force in the Field." By organizing satellite analytics—previously highly specialized and difficult to adopt—into purpose-specific AI packages, SateAIs enables a wide range of users, including local governments, enterprises, and research institutions, to apply them to their operational challenges.

About Space Shift

Founded in December 2009, Space Shift develops AI to analyze data from Earth observation satellites under the theme "Sense the Unseen from Orbit." The company offers the "SateAIs (SateAIs)" satellite data analytics package, applicable across various fields such as infrastructure management, disaster prevention and mitigation, agriculture, and environmental conservation. Through its co-creation program "SateBiz (SateBiz)," Space Shift aims to realize a sustainable society through satellite data utilization.

Company Name: Space Shift Inc. (Japanese: 株式会社スペースシフト)

CEO: Naruo Kanemoto (Representative Director)

Headquarters: Otemachi Building 6F, 1-6-1 Otemachi, Chiyoda-ku, Tokyo

Founded: December 11, 2009

Capital: ¥703,990,750 (including capital reserves)

URL: https://www.spcsft.com/

For inquiries regarding this release

Space Shift Inc. (Contact: Miyata, Takeuchi)

Inquiry Form: https://share.hsforms.com/1-fFRnQR2QwW3c-zOTCAanQ5m0z8

Email: pr@spcsft.com

*Product names, company names, and organization names

FACT BOX

  • Source: PR TIMES
  • Category: New Product
  • Products / services: SateAIs™ API / SateAIs SDK (Python)