In design
Invoice reader
Photograph a supplier invoice and the system reads the date, items and amounts for you.
Data and ML
We architect machine learning systems, end to end.
From the first data pipeline to a neural network running in production, we design the architecture, build every stage and keep the model accurate over time.
What we build
Machine learning pipelines
Automated flows that gather and prepare your data, then train and retrain models without manual work.
Neural networks
Deep learning for reading documents and images, understanding Greek and English text, and forecasting over time.
Forecasting and pricing
Demand forecasting and dynamic pricing for hospitality, built to connect to Booking.com through a channel manager.
ML in production
Versioned models, monitoring, alerts and documentation, so your system stays reliable after launch.
From your data to a prediction
- 1
Data sources
Sales, bookings, invoices, sensors and spreadsheets you already have.
- 2
Data pipeline
Automated collection, cleaning and validation, on a schedule.
- 3
Feature engineering
Turning raw records into the signals a model can learn from.
- 4
Model training
Classic machine learning or neural networks, chosen for the problem.
- 5
Evaluation
Tested on real cases before it touches a business decision.
- 6
Deployment and monitoring
Served through secure APIs, with accuracy tracked live.
New data from monitoring flows back into training, so the model keeps improving.
Projects in this line
All projects
Data and MLOpen source
orya-benchmark-pack
A focused analysis reference built for analysts, data scientists, and ML engineers who need fast, credible baselines, cleaner comparisons, and structured outputs from tabular datasets.
Data and MLOpen source
orya-guard
A practical Python CLI for preflight validation of ML datasets and inference payloads, designed to catch schema mismatches, null spikes, drift signals, and type-level issues before they break downstream work.
Data and MLOpen source
orya-eval
A lightweight Python evaluation layer designed to compare runs, surface regressions, and keep ML or AI systems measurable through YAML-first configuration and clearer threshold control.
Our own systems
Our own systems, ready to adapt to your business. The color shows the service line.
In design
Dynamic pricing engine
Forecasts demand and suggests the right price for each day, built to connect to Booking.com through a channel manager.
Working prototype
Simulation engine
Runs a million scenarios to forecast outcomes and test decisions before you make them.
Data and ML
Our core expertise. We turn the data you already have into forecasts, automation and better decisions.
Insight
See clearly what is happening in your business.
From €1,500
- Data audit and cleanup
- A dashboard of the numbers that matter
- Written findings and next steps
Automation
Put one machine learning model to work in your daily operations.
From €4,000
- Invoice and document reading
- Demand and sales forecasting
- Built into the tools you already use
- Accuracy tracked over time
ML system
Production machine learning, from data to decision.
From €12,000
- Custom models and neural networks, such as dynamic pricing
- Data pipelines and regular retraining
- Monitoring and full documentation
How we work
- 1
Free call
30 minutes to understand your business and what you need.
- 2
Fixed quote
A written scope and price before any work begins.
- 3
Build and review
You see progress every week and give feedback as we go.
- 4
Launch and support
We go live together and stay on hand afterwards.
- Fixed quotes, no surprise invoices
- Built for GDPR from day one
- Your code and your data belong to you
- Work delivered in Greek and English
Common questions
▶How long does a project take?
Essential websites go live in 1–2 weeks, and larger sites in 3–6 weeks. For software and ML work, the timeline comes with your fixed quote, once we know the scope.
▶Do I own the code and data?
Yes. When the project is paid in full, the code, content and data are yours.
▶Do you work with businesses outside Greece?
Yes. We work remotely in English with businesses anywhere in Europe.
▶Can you build projects funded through ΕΣΠΑ?
Yes. We build to the programme's technical requirements and work alongside your funding consultant.
▶What happens after launch?
Websites can stay on a monthly care plan, and software and ML systems on a support plan. You can also take everything in-house at any time.
Not sure which tier fits? Tell us what you need.
Book a free 30-minute call. You leave with a clear recommendation, whether or not you work with us.