How much does machine learning software cost?

There are numerous ML use cases, ranging from a simple chatbot to a complex ML solution with sophisticated logic behind it. Thus, the prices vary greatly. When estimating ML TCO, we factor in data-related attributes (number of data sources, data type, data volume, and data quality used for ML development), ML accuracy requirements, ML approach and methodology, and infrastructure costs. Basic PoC implementation starts from $10,000. If you want to get a ballpark estimation of the cost and resources needed to implement your ML project, contact our consultants.

How much data and what type of data is needed for a solution? What if we don’t have enough?

ML models are trained on numerical data, so you can use any data that can be converted into numbers, including tabular data, text, images, video, graphs, etc. Concerning data volume, the rule of thumb is: the more data the better. What is more, data should also be as close as possible to production data. At the same time, data diversity is as important as data volume. In case data volume or quality is not satisfactory, we help you collect or reuse available data sets.

What engagement models do you offer?

At Itransition, we offer three engagement models: Dedicated team Provision of ML development experts for long-term collaboration, where the customer pays for the time spent accomplishing the defined tasks. Time and material Provision of ML development experts for projects with changing requirements due to scope uncertainty/expansion, where a customer pays based on the number of person-hours and materials spent to perform the required work. Fixed-price Provision of ML development experts for the projects with approved and fixed scope, development budget, and timeline for a fixed price.

Do we need to pay for the infrastructure to train the ML model?

No, we train machine learning models on our instances.

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