Services

System Development

• Clear Requirements Definition and Goal Setting

  A successful system development project starts with clear requirements definition and goal setting. It is important that the whole team shares the specific features and expected outcomes so that the direction of development does not drift. This helps prevent the problem of “that is not what we expected” at delivery.

• Appropriate Technology Selection and Design

  To lead a system development project to success, appropriate technology selection and architecture design are essential. Choosing technology that fits the scale and purpose of the system improves development efficiency and scalability. Furthermore, designing an architecture with future expansion in mind lets us build a flexible and stable system.

• Communication

  Regular communication with customers and the development team is essential to keeping a project on track. By reporting issues and progress to customers frequently during development and gathering their feedback, we can make corrections at an early stage. We work to prevent problems caused by a lack of communication and to keep the project running smoothly.

• Agile Development

  Adopting an agile development process is effective for making a system development project succeed. By developing in repeated short sprints, we add features little by little and respond flexibly to customer requests. We can also respond immediately to changes in requirements midway through development, resulting in a highly adaptable system.

DX Promotion Support

• Optimal Data Modeling by a Specialist DX Team

  An experienced team of DX specialists provides data modeling tailored to each company’s unique challenges. We optimize key resources such as customers, products, and organizations, and build models that strengthen your DX foundation.

• Seamless Integration with Existing Systems Through Flexible System Design
  

  Our system designs can handle integration with your current systems as well as future expansion. While preserving your existing workflows, we achieve greater operational efficiency and productivity through DX.

• Fast Hypothesis Testing and Feedback Through Agile Development

  We adopt agile development methods and repeat hypothesis testing and development in short cycles. This lets us identify issues at an early stage and make improvements quickly.
  

• Establishing a Self-Reliant DX Promotion Structure Through In-House Development Support
  

  We support you through knowledge sharing toward in-house development, the establishment of frameworks and workflows, and regular evaluations with improvement proposals.

AI Implementation Support

• Use-Case Selection and PoC Validation

  The success of AI adoption depends on “which tasks to apply it to.” We take stock of your workflows, identify the use cases that will deliver results, and launch your first AI agent on your real data in one week. In about one month, including impact measurement, you can judge accuracy, effort savings, and cost from measured figures.

• Architecture That Keeps Your Data In-House

  For work that involves confidential information, you can also choose a setup that does not send data to cloud AI (a local LLM, or LLM operations in an environment you manage yourself). As an ISMS-certified company, we put your security requirements first and select the optimal model and configuration according to the intended use, accuracy, and cost.

• Guarding Against Wrong Answers and Making Costs Visible

  By designing RAG (a mechanism that has the AI refer to your internal data as its basis), verification that checks AI answers against real data, and workflows in which people review and approve, we keep wrong answers (hallucinations) from becoming a business risk. We design all of this, through to making AI costs visible for each feature, with the know-how we have refined in our own production operations.

• In-House Development Support and Internal Rollout

  We do not stop at deployment. We support operations design, the preparation of prompts and workflows, the drafting of usage guidelines, and study sessions. We work alongside you toward a self-sustaining state in which you can extend AI to other areas of your business, growing both the number of AI agents and the number of people who use them well.

Local LLM Implementation Support

• Model and Hardware Selection

  We propose models and hardware that fit your work and budget. You can test on a cloud GPU environment before buying hardware.

• Building in a Closed Environment

  We build on your own equipment (on-premises) or inside a cloud your company manages. We also decide with you whether to buy hardware, based on how much you will use it and for how long.

• Implementing Agent Features

  We build in internal data search, tool calls and output checks to make it usable in your work.

• Operations and In-House Transition

  We take on monitoring and model updates. We prepare runbooks and hand over until your team can run it in-house.

PoC/MVP Co-Development

• PoC Design That Puts Hypothesis Testing First
  

  We clarify the hypothesis at the core of your business idea and design a PoC (proof of concept) limited to the minimum features needed to test it. By defining the items to be tested and the success criteria in advance, we make it possible to decide on results rather than gut feeling, and we gather the material you need for your next investment decision in a short time.

• MVP Development at Minimum Cost in the Shortest Time
  

  Putting speed to market first, we develop an MVP (minimum viable product) focused on core features. Using a standardized launch process and proven architecture, we minimize development time and cost while maintaining quality. By getting user reactions early, we achieve a business launch with little rework.

• A Continuous Improvement Cycle Based on Data
  

  After the MVP is released, we continuously measure and analyze user behavior data and KPIs (key performance indicators) and turn the findings into the next improvement actions. By combining quantitative data with qualitative feedback, we make clear what is working and what should be improved. Through decisions based on evidence rather than guesswork, we steadily grow the products and services and strengthen product-market fit.

• A Smooth Transition to Full-Scale Development
  

  Based on the validation results from the PoC and MVP, we design a product roadmap and an extensible architecture for full-scale development. By building on the assets from the validation stage and growing the system in stages, we reduce the risk of rebuilding and enable a smooth transition to a development structure that matches the scale of your business.