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AI/ML Development

Predictive Applications Using Artificial Intelligence and Machine Learning

Algorithms For Your Unique Business Problems

Supervised Learning

Your business has sufficient example data to train algorithms

Unsupervised Learning

Your algorithms must learn without any example data

Reinforcement

No reliance on labeled data but an agent is needed to operate the model

Semi-Supervised Learning

Your business has very few labeled data and a large amount of unlabeled data

Our Development Process

A proven way to build long term algorithms

1

Goals

Our team discusses your business & long term goals so that we can understand how ML can help you in your long term trajectory.

2

Research

Based on your specific needs, we determine what algorithms would be best to fit your long term business goals.

3

Setup

Armed with the correct algorithms, our team sets up the algorithms and puts in place any necessary work for setup such as data collection/labeling.

4

Run Algorithm(s)

With all necessary prepration completed and in place the algorithms can run and train themselves properly. This stage can also include a great deal of experimentation.

5

Iterate

The algorithms may need entirely new iterations as data changes or business goals change. This process typically follows Goals -> Research -> Setup -> Algorithm Running in a cycle.

Ready For Your
Custom Software?

Your project can be started on
in 1 week or less after meeting.