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Services

We support data analytics, data platforms, AI development, and business system implementation as one continuous effort. Use this page as a guide to what you can ask of us, and how far we can take it.

Discover what your data can do

Data Analytics & Predictive Modeling

We clarify how your data can be used through exploration and validation, designing analyses suited to your business data and reporting results in a form you can act on.

What we do

  • Assessment of current data
  • Analysis design & hypothesis testing
  • Time-series analysis, anomaly detection, demand forecasting
  • Statistical analysis & machine learning model development
  • Visualization & reporting of results

Main methods & technologies

  • Time-series analysis
  • Anomaly detection
  • Demand forecasting
  • Python / scikit-learn
  • PyTorch

Get your data ready to use

Data Platforms & BI

We consolidate data scattered across Excel files and multiple systems into a state where it can always be seen and used. "We just want visibility first" is a perfectly good starting point.

What we do

  • Data collection & integration
  • ETL pipelines
  • BigQuery & data marts
  • BI & dashboards
  • Automated recurring aggregation & reporting

Main methods & technologies

  • BigQuery
  • GCP / AWS
  • ETL pipelines
  • BI & dashboards

Build systems your teams actually use

AI & Business System Development

We turn analysis and PoC results into systems used daily in the field — from embedding custom AI models to business applications, cloud environments, and ongoing operation and maintenance.

What we do

  • Embedding custom AI models
  • LLM / RAG, speech recognition, image analysis
  • Web & business applications
  • APIs & cloud environments
  • Operation, improvement & maintenance

Main methods & technologies

  • LLM / RAG
  • React / TypeScript
  • FastAPI / Node.js
  • GCP / AWS

From first conversation to deployment

We combine only the stages you need, based on your challenges and the state of your data.

  1. Consultation

    We hear about your challenges, available data, and operations, and define the scope of the consultation.

  2. Assessment & planning

    We check the state of the data and feasibility, then propose an approach and team.

  3. Technical validationif needed

    We test on a small scale to confirm accuracy, impact, and operational issues.

  4. Implementation

    We build models, data platforms, and business screens, and roll them out in the field.

  5. Operation & improvement

    We refine accuracy, features, and workflows based on how the system is used.

Technologies

We select the best stack for each project, centered on the following technologies.

Analytics & Machine Learning
  • Python
  • pandas
  • scikit-learn
  • PyTorch
  • Statistical analysis
AI
  • LLM / RAG
  • Speech recognition (STT)
  • Image analysis
  • MLOps
Data Platforms
  • BigQuery
  • ETL pipelines
  • Data marts
  • BI tools / dashboards
Applications & Infrastructure
  • TypeScript / React / Next.js
  • FastAPI / Node.js
  • GCP / AWS
  • Docker / Cloud Run

No fixed requirements yet? Let's work it out together

Start by telling us these three things, as far as you know.

Talk to us about data & AI
Your data
Equipment sensor values, sales and inventory records, free-text survey answers, etc.
The work that is difficult
Reports are compiled by hand, decisions rely on individual experience, etc.
Where you want to be
Spot early signs of anomalies, check key numbers right away, etc.