TDSE株式会社 Tech Stack

Data and AI consulting with in-house products for enterprise decision-making

Information Services 新宿区, 東京都 51–200 employees Founded 2013 Public Company

TDSE is a Tokyo-based data and AI consulting firm that combines strategy work with proprietary products—spanning text analysis (Quid Monitor), conversational AI (Cognigy), and generative app development (Dify). The hiring mix skews engineering-heavy (16 of 22 active roles), with concurrent focus on MLOps adoption and RAG system implementation, signaling a shift from one-off consulting toward managed, production-grade AI services.

Tech Stack 15 technologies

Core StackAWS Terraform Kubernetes Python TypeScript TensorFlow PyTorch RAG GCP Azure SQL Dify Gurobi PuLP SciPy

AdoptingRAG

What TDSE株式会社 Is Building

◆Challenges

Increase new project acquisition
Increasing demand for optimization solutions
Improving data engineering processes
Optimizing application development processes
Limited internal staff to meet customer needs
Expanding business requires advanced cloud infrastructure
High demand for production ml implementation
Adopting mlops for ai/ml production
High demand for nlp solutions
Increasing demand for cloud environment setup

▲Active Projects

Mlops implementation
Cloud infrastructure for ai/rag systems
Mlops support service
Data engineering support service
Technology research and internal deployment
Cloud-based ml system design
Nlp software development
Multimodal generative ai solution development
Ai agent development using dify
Rag system design and implementation

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering

Data

Sales

Seniority

Mid

Senior

Manager

Lead

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About TDSE株式会社

TDSE provides data science consulting and AI engineering services to Japanese enterprises, paired with SaaS products targeting market intelligence, customer service automation, and generative AI application development. The company operates across three layers: strategy and design (data activation planning, model development), implementation (analytics infrastructure, system integration), and ongoing operations (monitoring, model tuning). Cloud-native infrastructure (AWS, GCP, Azure with Kubernetes and Terraform) underpins both consulting delivery and product hosting. Founded in 2013 and publicly listed, TDSE serves mid-market and enterprise clients seeking end-to-end data transformation rather than point solutions.

Headquarters新宿区, 東京都

Company Size51–200 employees

Founded2013

Hiring MarketsJapan

Frequently Asked Questions

What tech stack does TDSE use for AI and ML?

TDSE uses Python, TensorFlow, PyTorch, SciPy, and optimization libraries (Gurobi, PuLP) for model development; AWS, GCP, and Azure for cloud infrastructure; Kubernetes and Terraform for deployment; and is actively adopting RAG frameworks for generative AI systems.

What AI products does TDSE build?

TDSE offers five main products: TDSE Eye (visual inspection AI), KAIZODE (e-commerce review analysis), Quid Monitor (social listening and competitive intelligence), Cognigy (conversational AI platform), and Dify (generative AI application builder).