HOSHIGAKU星学
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AI & generative AI development

Make AI useful in everyday work.

We apply generative AI, LLMs, RAG and AI agents to internal search, chat, information processing and automation, considering data handling, response quality and operation.

01

Make internal information accessible.

We consider RAG search, question answering, AI chat and analysis for your workflow, checking data sources, quality and access before defining usage.

02

Test the idea. Build the business.

Talk to us about AI adoption, IT strategy, technology choices and new services. A PoC tests feasibility; an MVP focuses on essential features and improves through business and user feedback.

How we work together

  1. 01

    Understand your needs

  2. 02

    Define approach and scope

  3. 03

    Validate and develop

  4. 04

    Launch and improve

Technical experience

Backend

Java / Spring / Spring Boot / Spring Batch / Hibernate / JPA / MyBatis / JUnit

Frontend

JavaScript / TypeScript / React / Vue / Next.js / Angular / jQuery / Jest

Other

Python / Go / C# / PHP / Laravel / HTML / CSS / SQL

Database

PostgreSQL / MySQL / Oracle / SQL Server / DB2 / Redshift

Infrastructure

AWS / Docker / Jenkins

Contact

Let’s start a conversation.

Partnerships, learning, technology or a question. Tell us what you have in mind.