A software factory your team owns and runs

A software factory is a system in which AI develops, tests, and deploys software through defined procedures, with user feedback informing the next improvement. ROBOCO builds this system with your team and transfers the capability to run it yourselves.

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Client transformation · Anonymous case

A prototype in one month. A foundation for ongoing improvement.

After a prolonged outsourcing effort failed to deliver the intended solution, a company launched a prototype within one month of working with ROBOCO. Together, we established a development system in which domain experts with no prior development background could build and improve features themselves.

Today, a small team absorbs advances in AI while releasing and improving its product. Its transition toward a software factory continues with ROBOCO.

See how the development process changed

Start with one real piece of work

For companies bringing outsourced development in-house and digital-native teams seeking faster, more accurate delivery, we start with the team and product you have. Training and advisory are part of every stage.

  1. Practical pilot

    Build a development, verification, and deployment workflow around real work. Your team then makes the next improvement.

  2. Software factory setup

    Extend the validated workflow across your team, with automation and operating standards on a cloud-native foundation.

  3. Operational improvement

    Keep refining your product and intent. Evaluate new AI capabilities and incorporate them into how your team develops software.

For entry into regulated markets, we also offer certification and compliance consulting.

How a software factory works

People define the problem and quality criteria, and make important decisions. AI implements, tests, and deploys within defined permissions and verification procedures. Lessons from real use shape the next requirements and improvements.

  1. Define intent

    Clarify the problem to solve and the results you expect.

  2. Build with AI

    Domain experts and developers build features with AI.

  3. Verify and deploy

    Check intent and quality criteria, then release through an agreed process.

  4. Observe and improve

    Learn from real use to refine both intent and features.

Feed what you learn back into intent, and repeat.

Automated guardrails and verification apply security and cost criteria throughout the process.

Your team owns the goals, judgment, and operation. ROBOCO helps build the system and transfers the capability to run and improve it.

Read our perspective on the software factory

Tools built by ROBOCO

We turn what we learn through consulting and training into methods and tools anyone can use.

Open-source projects

  • hwp2md

    A CLI that converts HWP and HWPX documents to Markdown, with optional LLM formatting for complex layouts.

  • vibe-ready-cli

    A CLI that uses Claude or Codex to assess a repository’s readiness for AI-assisted development and suggest improvements.

Explore all products

We research, experiment, and share what we learn

We explore possibilities in AI development, semiconductor design, and cloud infrastructure, documenting the conditions, observations, and results that fall short of expectations.

  • Results published · Further experiments ongoing

    Ralph loop completion benchmark

    We test unattended completion across model and harness combinations using the same backend development task, then compare results by condition.

  • Exploratory · Selected track results published

    Semiconductor EDA experiments

    We build semiconductor design tools and models with AI, evaluating correctness and practical usefulness separately.

  • Research · Selected measurements completed

    S3 experiments

    We explore alternative uses for S3 and compare file systems to understand performance and the conditions in which they fit.

Explore our research

Start with your own business needs

In an initial consultation, we select a real piece of work and agree on the pilot’s scope, timeline, cost, and success criteria.

Discuss a pilot