AI Models from Scratch / GENOVA SOFTWORKS
AI models from scratch. Trained for your goals.
We design and train artificial intelligence models from scratch for specific needs. From data preparation and training to evaluation and integration into apps, devices and business systems.
Let’s discuss your project ↗
MADE FOR YOU ↗From data to a custom model
We start with the problem to solve and the available data. We define the model architecture and training procedure, starting with weights that have not been pretrained. We prepare the data, train the model and measure results on examples kept separate from the training data. Projects may involve images, text, structured data or sensor signals, depending on the goals and available resources.
- Assessment of goals, available data and technical feasibility.
- Data collection, cleaning, annotation and splitting into training, validation and test sets.
- Model architecture selection and design.
- Training from scratch, hyperparameter optimization and experiment comparison.
- Evaluation using agreed metrics and error analysis on test data.
- Model export, inference optimization and integration into software, APIs or devices.
How we work on your project
We agree on the task, evaluation metrics and budget for data and computing. We build an initial version, assess the results and plan further iterations. Delivery includes the model and the documentation and integration work defined in the project.
BEFORE WE START
The right questions.
The answers, here.
What does training a model from scratch mean?
It means defining the model and learning its weights from an initialization that has not been pretrained, using the project dataset. Fine-tuning instead starts with an already trained model and adapts it to a specific task.
What data is needed for training?
It depends on the task: images, text, tables or measurements. We assess data quantity, quality, representativeness, any required labels and usage rights before defining the training plan.
How are costs, timing and results defined?
Estimates depend on task complexity, data preparation and computing resources. We agree on metrics and assess feasibility through initial experiments; performance is measured on test data.
05 / THE NEXT STEP
Have an idea?
Let’s start there.
Tell us what you would like to build. We’ll find the right solution for your business, with no obligation.