Helios Inc. is pleased to announce the launch of the beta version of the "Helios-Platform," an innovative geospatial data analysis platform operated through natural language interaction. By leveraging multimodal AI to integrate vast datasets—including satellite imagery, drone data, weather information, and GIS—the platform aims to reduce the time required for complex analysis from weeks or months to just a few hours, without requiring specialized expertise. With this beta rel

We are pleased to announce that we have published an English version of our recent interview with Incubate Fund. In early December, we had the opportunity to discuss Helios Inc. 's founding story, our core philosophy, and our vision for the future. We have translated this discussion and posted it on Medium to share our journey with our global audience. We invite you to read the full article at the link below. 【Part1】Towards a society that understands the Earth, predicts the f

KEPPLE covered and wrote an article about our seed round funding, which was announced on December 5th! [KEPPLE: Understanding the Earth with Satellites and AI - Helios Raises Seed Round of Funding to Build a Large Earth Model] https://kepple.co.jp/articles/q401xh0iuki9 It also touches on issues surrounding satellite data, so be sure to check it out.

UI image of the service under development Helios Inc. (Headquarters: Sumida, Tokyo; Kyohei Yashima, Representative Director COO) is pleased to announce that it has raised a total of 50 million JPY in a seed funding round underwritten by Incubate Fund. Accelerating the "Large Earth Model" and Earth Intelligence This significant capital injection marks a pivotal moment for Helios Inc. The funds will be strategically deployed to rapidly accelerate the development of our propriet

Helios recently published two new articles on Medium. Here is an overview of the latest content we’ve shared. Dev Tips: How to Get Structured JSON Output with LangChain and Pydantic In our latest Medium article, we explore a common pain point for developers working with large language models: inconsistent output formatting. If you've ever written fragile string-parsing logic just to extract simple information, this guide shows a better way. The article introduces a practical

We are pleased to announce that Helios Co., Ltd.  has been selected as a joint project partner in the R&D project led by ArkEdge Space , titled “Development of Detection, Analysis Methods, and Platform for Environmental Changes and Risks Utilizing Multiple Satellites.” This project aims to develop efficient analytical methods and a geospatial information platform incorporating satellite data, leveraging the unique characteristics of remote-sensing technology. Through this app

We are thrilled to announce that Helios has been officially certified as a venture company by the Institute of Science Tokyo. This...

The press release we published on PRTimes on September 15 has been featured in a special article on VOIX. https://voix.jp/biz/news/151780/

Helios Inc. is pleased to announce that on August 1, 2025, we signed a Memorandum of Understanding (MoU) with Chodai Co., Ltd. regarding...

Helios Inc. launched its Medium page in June, and so far, 10 articles have been posted! Here is a summary of each of them. Why...

We are pleased to announce that we have signed an agreement with OceanEyes Inc. for developing ocean analysis technology that utilizes...

We are pleased to announce that we initiated a collaboration with ArkEdge Space Inc. on the technical development for advanced data...

R&D partnership through the Japan Space Forum

Hello! This is Kyohei. With Kenichi temporarily back in Japan, we held the very first all-hands meeting of Helios Inc. on the 29th of...

We’re excited to announce that Helios  is now officially on LinkedIn! As we continue building cutting-edge solutions at the intersection...

We’re excited to announce the launch of our new Medium tech blog : Helios-techblog  — a space where we’ll share insights, research, and...

In recent years, advancements in machine learning, particularly in the development of Large Language Models (LLMs), have transformed how we interact with data and derive insights. Inspired by the success of LLMs, our company is developing the Large Earth Model (LEM) — a cutting-edge platform designed to harness the power of multi-modal analysis in remote sensing to deliver actionable insights directly to users. Revolutionize Remote Sensing with Multi-Modal Insights LEM is an

株式会社Heliosを登記しました。その経緯や今後の野望について初のブログでご紹介します！

Remote sensing, at its core, is the science of capturing and analyzing Earth's surface data. Historically, geospatial analysis has relied...