echoloc

アポロ株式会社 Tech Stack

AI integration and consulting for enterprise digital transformation

Business Consulting and Services 渋谷区, 東京都 11–50 employees Founded 2020 Privately Held

APOLLO is a 11–50 person consulting firm in Tokyo focused on embedding AI systems into enterprise operations. Their tech stack—Python, FastAPI, RAG, LangChain, Weaviate, Qdrant, MLflow, AWS, Kubernetes—reveals an engineering-forward consulting model built around production-grade ML pipelines and retrieval-augmented generation. Active hiring across data, engineering, and consulting roles with a manager-heavy seniority distribution signals scaling of both technical delivery and client-facing practice.

Tech Stack 39 technologies

Core StackPython FastAPI RAG Tableau Slack GitHub Copilot LangChain Weaviate MLflow AWS AWS Lambda GitHub Actions Docker Kubernetes Terraform SQL R GPT Microsoft Office Excel PowerPoint Notion ChatGPT LlamaIndex OpenAI API FAISS Qdrant DVC GCP IAM+9 more

What アポロ株式会社 Is Building

Challenges

  • Document storage and search experience
  • Skill information integration
  • Business process reengineering
  • Process digitalization
  • Ecosystem building
  • Improving daily operational productivity
  • Integrating generative ai into business tools
  • Automating proposal creation
  • Improving demand forecast accuracy
  • Optimizing order placement

Active Projects

  • Knowledge search system for automotive manufacturer
  • Digital business development
  • Inference api construction and operation
  • Rag knowledge search poc
  • Rag poc to production
  • Technology poc for advanced technology feasibility
  • Process digitalization
  • Ecosystem building
  • Ai idea contest
  • Internal dx consulting

Hiring Activity

Steady15 roles · 6 in 30d

Department

Data
6
Engineering
6
Consulting
2

Seniority

Manager
6
Mid
4
Senior
4
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About アポロ株式会社

APOLLO delivers three service lines: strategic and digital-transformation consulting; end-to-end AI system integration (requirements, architecture, data engineering, ML/statistics work); and business analytics (statistical modeling, data-driven insights). They also develop proprietary solutions—including marketing planning tools, employee engagement dashboards, video extraction AI, and AI/data literacy training—which they sell directly to enterprise clients. The company operates primarily in Japan and focuses on solving internal business challenges (process automation, demand forecasting, proposal generation) alongside client delivery.

Headquarters渋谷区, 東京都
Company Size11–50 employees
Founded2020
Hiring MarketsJapan

Frequently Asked Questions

What AI technologies does APOLLO use?

APOLLO builds with Python, FastAPI, and RAG frameworks including LangChain, LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS). They use OpenAI APIs and ChatGPT, MLflow for model tracking, and AWS/GCP for cloud infrastructure.

What projects is APOLLO working on?

Active engagements include knowledge search systems for automotive manufacturers, RAG proof-of-concepts moving to production, inference API construction, process digitalization, and ecosystem-building initiatives. Internally, they're running AI idea contests and digital-transformation consulting.

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