Connecting cloud, DevOps, and AI to build products that keep getting better.

From design and development to operations, we handle it all in agile, iterative cycles.

Does any of this sound familiar?

  • You have inherited a system with no documentation and no one who knows it
  • You want to turn research-stage code or models into production software
  • Processing is slow and cannot keep up as data and users grow
  • Model accuracy has plateaued and the next step is unclear
  • You want a prototype to decide whether to adopt a new technology
  • Releases and operations depend on manual work by a few specific people

Services

  1. Cloud Architecture

    We design and build cloud environments on AWS, Google Cloud, and other platforms that are straightforward to operate.

    More about Cloud Architecture
  2. DevOps & Automation

    We codify infrastructure and set up CI/CD so your team can release safely and often.

    More about DevOps & Automation
  3. Machine Learning & AI

    We develop machine learning and deep learning models end to end: data preprocessing, inference APIs, accuracy evaluation, and operation.

    More about Machine Learning & AI

Why Coroutia

  • One engineer across cloud, security, and machine learning

    Your project is handled by an engineer who holds three Google Cloud Professional certifications, has passed Japan's Registered Information Security Specialist Examination, and holds the JDLA E-Certification in deep learning. You can go from design to implementation without splitting the work across vendors.

  • Results backed by numbers

    For an AI that predicts CO2 emissions from construction estimates, we cut preprocessing time from 30 minutes to 3 minutes and raised the accuracy of the model that predicts estimate column names from 85% to 96%.

  • We take over undocumented systems

    With no administrator and no documentation, we analyzed an Active Directory environment of about 3,000 devices from its settings, redesigned the distribution path, and cut management work by about 60 hours a month while keeping a 100% patch rate.

  • From technical validation to training

    We set the implementation direction for a next-generation system through a Rust prototype and technical report, and our training for more than 50 engineers was rated 4.5 out of 5.

Work

Out of respect for confidentiality agreements, client names and specific details are withheld.

  • Preprocessing time30 minto3 min
  • Accuracy of the column-name prediction model85%to96%

Software development company (AI service for the construction industry)

Improving an AI that predicts CO2 emissions from construction estimates, and building its inference API

We cut preprocessing time from 30 minutes to 3 minutes, built retrieval-augmented generation that handles manuals with figures and tables, and set up a training environment where experiments can be tracked.

  • Python
  • Pandas
  • PyTorch
  • FastAPI
  • Amazon Bedrock
  • Amazon SageMaker

See all work

Let's talk about your project

We are happy to talk even before your requirements are defined.

Contact