Working Environment

Tackle Global Challenges with Cutting-Edge Technology

Satellite imagery analysis, causal inference, graph databases.
AI-first development approach to address
climate change and economic security challenges.

AI-First Development

We use Claude Code / OpenAI Codex as standard development tools.
We're constantly exploring new development processes that leverage generative AI,
building a hybrid model of consulting and software development.

This isn't limited to engineers. We're fully committed to software-driven operations across all areas—from business documentation to back-office and marketing functions.

Claude Code OpenAI Codex Vertex AI Dify / n8n

Tech Environment

We provide an environment where engineers can perform at their best

</> Development Stack

Languages Python / TypeScript
Infra GCP / AWS
DB PostgreSQL + PostGIS / Neo4j
Data dbt / Dagster
Visualization deck.gl (Geospatial)

★ Specialized Technologies

Satellite Image Analysis (Optical / SAR / LiDAR)
Causal Inference & Bayesian Statistics
Graph DB / Network Analysis
Spatiotemporal Modeling

⇄ Engineering Practices

GitHub for code management & review
High-frequency deployment cycles
Strong documentation culture

Technical Challenges

An environment where you can pursue both social impact and cutting-edge technology

Supply Chain Intelligence

Building graph models of global supply chains. Quantifying causal effects of upstream events (raw material procurement risks) on downstream industries and deriving optimal procurement strategies.

Graph DB Causal Inference Optimization

Biomass Estimation from Satellite Imagery

Analyzing optical, SAR, and LiDAR satellite imagery to estimate forest and soil biomass. Quantifying intervention effects of carbon credit projects using causal inference.

Satellite Analysis Machine Learning Causal Inference

Global Geospatial Infrastructure

Building efficient geospatial analysis infrastructure at a global scale. Designing and operating pipelines for processing and visualizing large-scale spatial data.

PostGIS deck.gl Data Pipeline

Team

A team of experts with diverse backgrounds

Nationalities

Ph.D. Holders

10+

Years Avg. Experience

Team Backgrounds

◆ Satellite constellation company image analysis

◆ Causal inference & Bayesian statistics researchers

◆ Global consulting firms

◆ NASA JPL research experience

◆ World Bank / JICA international development

◆ GIS / Geospatial visualization specialists

Research & Publications

We value our connection with academia

Collaborative Research

Joint research with NIES, Hitotsubashi University, etc. Published at NeurIPS 2022 Climate Change AI Workshop

Regular external publication of technical approaches and methodologies

Academic Papers

Opportunities to publish in academic journals

International Conferences

Speaking at COP and negotiations with governments

Work Style

A flexible environment focused on outcomes

Hybrid Work

Flexible combination of in-person and remote work. We recommend coming to our Meguro office 2-3 days a week, but remote arrangements are available for those living far away.

Flextime / Discretionary Work

No core hours. An environment where you can deliver results at your own pace. We evaluate based on output, not hours worked.

Small Team, Fast Decisions

Startup speed and agility. We prioritize "building things that work" while maintaining appropriate balance with technical debt.

Global Environment

Working in a multinational team naturally improves your English skills. You'll have many opportunities to read English documentation and develop practical language abilities.