This refers to meeting objectives through to bringing the product to scientific publication after solving the client's requirement.
We'll ask you for a list of the items you want to track and the evaluation instruments you currently use (usually in Excel); we'll suggest some indexes that could help with decision-making, and we'll also ask for the list of collaborators and reports you deliver so we can replicate them and generate them automatically. With this information we'll configure your system and you'll be able to use it right away.
It's a software abstraction of the real-world concept of a container. Inside a container, you can group as many items to evaluate as you like. There's no limit to the number of containers you can create, nor to the number of items to evaluate within them.
Yes. When you delete or edit containers, items to evaluate, or evaluation instruments, these changes are reflected in real time on every mobile device associated with your profile. Permission schemes for containers and evaluations also affect how the App behaves.
That depends on the problem at hand. Our research team constantly reviews the data to propose development schemes, and we're always glad to hear your suggestions. Our fastest AI deployment took 3 months and consisted of a system that predicts injuries using CPK and Urea records in high-performance athletes. See the publication here
Evalu@ is agnostic, achieved through a configuration process that takes no more than 5 minutes. Check out the video demos to see how E@ adapts to multiple use cases in under 5 minutes.
Practically all of them. All you need to do is program a REST API on your IoT device. This should be straightforward if the device manufacturer designed its sensors to be compatible with other platforms. Using our IoT solutions guarantees immediate operability at a very competitive cost.
Yes. Evalu@ is, at its core, an API. We've simply given it a face so you can see it in action, but you can request the API documentation and build your own solutions.
Evalu@ includes default data analytics schemes displayed right in the web interface, including Gaussian statistics (means, standard deviations, maximums and minimums), averages, time-series comparisons, and rankings. You can also request custom indexes, which takes us less than 5 minutes, covering any mathematical operation on the stored data and displaying it on a timeline.
