The cost of a custom predictive analytics solution depends on several factors. The amount and quality of your data is often the starting point: clean, well-structured datasets lower development time, while scattered or incomplete data may require additional preparation.
The complexity of your business goals, the type of predictive models needed, and the level of integration with your existing systems also play a role and can influence the final price. Even ongoing support and scalability requirements can shift the budget.
Since every project is unique, the best way to understand the investment is to calculate it for your specific case. For a realistic price estimate, you can use our calculator.