AI integration and consulting for enterprise digital transformation
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.
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.
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.
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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