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Trust株式会社 Tech Stack

AI and data modernization for Japanese financial institutions

IT Services and IT Consulting 中央区, 東京都 51–200 employees Founded 2022 Privately Held

Trust株式会社 is a Tokyo-based fintech consulting firm founded in 2022 by alumni from Japan's Digital Agency, major consulting houses, and venture-backed companies. The stack reveals dual focus: deep data infrastructure (Python, SQL, Snowflake, BigQuery, Databricks, Hadoop) alongside modern application layers (TypeScript, React, Next.js), plus legacy-system expertise (COBOL, PL/I). Heavy hiring in data (30 roles) over engineering (19) signals their consulting model centers on data-driven transformation rather than pure software delivery. Active adoption of AutoML and Snowflake, combined with projects around legacy-to-cloud migrations and AI governance, reflects the core pain point: Japanese financial institutions need modernization expertise, not just outsourced development.

Tech Stack 57 technologies

AdoptingSnowflake AutoML

What Trust株式会社 Is Building

Challenges

  • Ai governance
  • System modernization
  • Digital transformation for financial institution
  • Legacy system migration
  • Data platform construction
  • Legacy code modernization
  • Cybersecurity compliance
  • Migrating legacy on-premises to cloud
  • New office launch
  • Financial process modernization

Active Projects

  • Trust tlanp
  • Trust genga
  • Digital marketing platform construction for securities firms
  • Automl implementation support
  • Cross-group data utilization poc
  • Legacy system migration using generative ai
  • Automl tool evaluation for banks
  • Ai strategy formulation for asset management company
  • Bank market analysis model development
  • New office launch

Hiring Activity

Accelerating60 roles · 40 in 30d

Department

Data
30
Engineering
19
Product
4
Consulting
3
Security
3
Research
1

Seniority

Senior
42
Mid
15
Manager
3
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About Trust株式会社

Trust株式会社 advises Japanese financial institutions on digital and AI transformation. Their client base spans banks, securities firms, and asset managers facing legacy system overhauls, data platform construction, and AI governance challenges. The founding team bridges government digital strategy, consulting, and venture experience—a positioning that informs both their technical depth and their visibility in industry associations (they run the Financial IT Association and Financial Data Utilization Promotion Association). At 51–200 employees with accelerating hiring, they operate as a specialist consultancy rather than a body-shop, focusing on high-stakes modernization projects where regulatory compliance and system reliability are non-negotiable.

Headquarters中央区, 東京都
Company Size51–200 employees
Founded2022
Hiring MarketsJapan

Frequently Asked Questions

What tech stack does Trust株式会社 use?

Core: Python, SQL, Snowflake, BigQuery, Databricks for data work. Legacy: COBOL, PL/I. Cloud: AWS, GCP, Azure. Frontend: TypeScript, React, Next.js. Currently adopting AutoML and expanding Snowflake footprint across client engagements.

What is Trust株式会社 working on?

Current projects include AutoML implementation for banks, legacy system migration using generative AI, data platform construction for securities firms, AI strategy formulation for asset managers, and cross-group data utilization POCs. Also launching a new office.

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