We evaluate how viable the project or plan is and identify potential issues that could arise during development.
Then we analyze your goals, user base, and current technology to establish the project requirements and success criteria.
Our software architects create a system blueprint for the custom AI solution, which project management then uses to determine project tasks.
Our product design team focuses on creating an intuitive user experience and visually appealing user interface.
Our development team uses an Agile methodology to iteratively develop the solution, sharing progress in two-week increments called sprints.
Once the solution is trained, tested, and validated, we work with you to deploy it into your infrastructure or environment.
We help you transform and format your data for consumption by the machine learning algorithm to ensure it yields useful insights.
Using training datasets, we ensure your custom AI solution is ready to be validated, tested, and deployed.
After the solution is deployed, we can provide maintenance services and work on ongoing improvements.
A technology stack (also called a solution stack or technology infrastructure) is a list of all the technology services required to build and run your solution. We analyze all the components you need to bring your product to market, so there will be no surprises during the development process
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