Concept

Concept

AI adoption stays isolated and never scales
across the whole development process

AI use is now essential in software development.

In practice, though, many teams get no further than
brainstorming with general-purpose AI or using
coding agents, and AI adoption rarely extends
across design, implementation, and testing.

  • Development tools in the field are not directly connected to AI
  • Design documents and code are too large for AI to give stable answers
  • AI skills vary by individual and do not spread across the team
Conceptual diagram showing people and AI collaborating to produce deliverables by feeding tools, documents, and knowledge into a field-specialized AI agent
That is why an AI service is needed that can be optimized for each project and process, and built in seriously from design through testing.

A reliable development partner grounded
in the realities of the field

DC Agentiqs was built to make serious AI adoption possible on real development sites.

DC Agentiqs's field-specialized agents
connect seamlessly with the development
tools already in use, and create deliverables
the way an on-site engineer would, drawing
on field-specific knowledge and past work.

  • Absorb knowledge from past deliverables and existing design documents
  • Integrate with the various tools used in development
  • Achieve stable answer accuracy through workflows
Conceptual diagram showing people and AI collaborating to produce deliverables by feeding tools, documents, and knowledge into a field-specialized AI agent

Purpose-built AI agents work autonomously

across processes, all the way to finished deliverables

A field-oriented AI partner that's easy to adopt even on teams where AI was hard to introduce before, becoming a new source of strength for your development team.

Conceptual diagram showing AI agents connecting Word, Excel, Next Design, MATLAB/Simulink, GitHub, and other tools to bridge system requirements through SW design, implementation, and unit testing

Enterprise design
built for operability

Turn individual AI know-how into strength for the whole team.
A development foundation where knowledge can be shared instantly within your own Workspace.

Conceptual diagram showing a development team updating agents and the latest state through a shared repository, with knowledge and AI agents across Workspaces 01-03 refined daily as development intelligence grows

Make your best AI agents and knowledge the standard for everyone through Workspaces.
New members can contribute right away, and knowledge grows the more it's used.
Develop your best AI agents and knowledge assets as organization-wide standards,
creating an environment where they can be used continuously.

The future of development,
created together with DC Agentiqs

Development that demands both speed and quality
can't do without AI.
DC Agentiqs lets you easily build a field-specialized
AI environment, then share and improve it as a team
while running it in production.

  • AI creates AI agents and workflows
  • Easily share great AI agents and workflows
    across your organization

Development teams take the lead in building and growing their own AI agents,
and the agents carry out practical work based on goals and direction set by people.
This realizes a development approach that draws on the strengths of both AI and people.

That's the future DC Agentiqs is aiming for: AI adoption led by the field.

Illustration of a development scene where a person and an AI robot collaboratively edit UI and code on a laptop, surrounded by setting sliders, coding icons, and notes
DC Agentiqs

Try DC Agentiqs for free

Try every feature with a free 60-day evaluation version.