We design what works,
not lists of technologies.

We consider users’ work and data together with system constraints, and carry one set of standards from design through verification and handover.

Every technology choice needs a business reason.

We first define the business problem and the operating conditions, then work backward to design the screens, APIs, and data flows they require. We choose technology not by trend or name, but by whether the team can understand, verify, and operate it.

Start with requirementsDocument the interfacesVerify in small steps
Concept image of several technology layers interlocking into one system

Engineering layers from requirements to operations

Four technology layers
that form one service

We design screens, business processing, and data separately, and connect them through user flows and data contracts. The setup depends on how existing systems integrate, where the data lives, and the operating environment.

User-facing screens

We organize the information architecture and screen flows around the tasks users need to complete. The design scope covers the situations people run into in real work, including responsive web, accessibility, and error and empty states.

  • User journeys & screen flows
  • Responsive web for desktop & mobile
  • Accessibility & screen states
Digital platforms

Business processing server

We design the application structure around business rules, permissions, and data change history. Drawing on our experience building public-sector and enterprise systems, we propose a server setup and scope that fit the project environment.

  • Structured domain & business rules
  • Business processing APIs
  • Authentication, permissions & change history
System integration

Data & system integration

We check each system’s data standards and exchange methods, then choose the approach that fits the operating environment: API, batch, or file integration. We document interface agreements and error-handling rules so the impact of changes can be traced.

  • Data standards & ownership
  • API & batch interface specifications
  • Migration, verification & error handling
System modernization: connecting the work beyond the screen

AI & knowledge use

We assess whether AI can be applied, drawing on our experience developing video processing, data analytics, and prediction AI. LLMs and RAG are proposed use cases, which we validate within a limited scope after first setting the source documents and human review steps.

  • Video & data analytics experience
  • Proposed RAG search & answer flows
  • Showing sources & human review
Enterprise knowledge search (RAG)

You can find the technologies we have actually used and the projects we have built on our project experience page.View our projects

Quality standards
from design to build

We set the scope of checks to fit the project’s risks and operating environment, and at each stage we leave documents so the next team can take over the structure and the reasoning behind decisions. The specific deliverables depend on the scope.

Requirements & design

  • Defining user and operator roles and work scenarios
  • Agreeing on feature scope, exclusions, and exception conditions
  • Reviewing how screens, data, and system structure connect

Documents we hand overAn outline of user roles, workflows, feature scope, and priorities

APIs & data

  • Interface specifications covering requests, responses, and error rules
  • Defining data ownership and access permissions
  • Setting verification criteria for migrated and integrated data

Documents we hand overDesign of the system setup, data relationships, and external integration conditions

Implementation & verification

  • Building in small feature units and checking each step
  • Web standards, cross-browser, responsive, and unit and integration testing by a dedicated testing team
  • Testing key user flows and exceptions
  • Tracking the impact of changes and the issues found

Documents we hand overScreen designs, state definitions, and user flow test results

Operations & human judgment

  • Setting out deployment, incident, and change procedures in advance
  • Providing handover documents that operators can understand
  • Checking the sources behind AI results and leaving the final review to people

Documents we hand overHandover documents covering known constraints and deployment and operating procedures

2017 patent application · 2018 ISO 9001 quality management system certification · 2018 patent registration · 2019 corporate R&D center recognition · 2021 patent application

Certifications and designations are listed as of the date obtained.View company history

Security & privacy considerations

Security requirements vary with the standards of each institution and company. Based on what we have handled in past projects, we review the following with you from the design stage.

View security questions
  • Permissions & change history

    At the design stage, we agree with you on access permissions by user role, data protection standards, and how change history and processing logs are kept.

  • Secure communication & encryption

    Where data is exchanged with outside organizations, we review secure communication, data encryption, transmission monitoring, and log management.

  • Web vulnerability assessment

    For screens and integration points that handle payments or personal information, we look at ways to reduce privacy risks through web vulnerability assessments.

Unsure about the technical setup?
First, tell us your business challenge.

Based on your current environment and the scope of change you need, we’ll work out the right structure with you.