Machine Learning with codeit

Machine Learning is unique to codeit, no other coding tool works in this way

Other AI verbatim coding tools are limited

If you’re starting from scratch, then AI tools can only take a best guess at how your data should be coded.

However, coding involves nuance and there are unwritten rules specific to your project that only you know.
codeit AI is much more advanced

Our Machine Learning takes your historical coded data and learns the subtleties and implicit rules in your coding.

Behind the scenes, it seamlessly builds a custom machine learning model bespoke to your codeframe and coded data.

Using cutting edge, deep learning technology, this model can then be used to autocode new verbatims accurately and consistently every time (no hallucinations here!)

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Key Features

Simple to use

No technical know-how required. The codeit Machine Learning runs seamlessly in the background

Easy to train

Unlimited amounts of training data can be loaded and used for training

Perfect for trackers

Perfect for Tracking Studies, repeated surveys or large surveys – anywhere where large amounts of example data is available, and consistency over time is essential

Full transparency

Full traceability of autocoding – allowing you to see which codes have been auto applied and why

Guardrails

Set guardrails to control the amount of authority and autonomy you want to give to the AI

Reusable

Reuse Machine Learning by sharing codeframes or codeframe elements from project to project

There’s more to Artificial Intelligence than Generative AI

Understanding AI and its different algorithms is critical for market researchers in today’s world

Understanding AI and its different algorithms is critical for market researchers in today’s world. Discover the difference between machine learning and generative AI and what it means for your verbatim data.

Frequently asked questions

How does codeit learn from my data?

The codeit AI system automatically builds a bespoke machine learning model based on your coded data and codeframe. Coded data is ideal for training machine learning because is shows the AI exactly how you want your data coded – including all the implicit and unwritten rules within. Once trained on your data, the AI can apply the machine learning model to code new verbatims.

Are learnings reusable across projects?

Yes. The Machine Learning in codeit is attached to a codeframe, so any time a codeframe is reused, the learnings are carried with it. So, for repeat projects, or tracking studies, this means that the learning can be reused and applied to autocode new verbatims as they’re added to codeit.

Are learnings shared with other codeit clients?

No. Your data is your data and any machine learning based can only be used by you. We don’t use client data to train our own models or use your data to benefit other clients in any way.

Why is machine learning better than other approaches?

Machine Learning is specific to your project, codeframe and data. It follows your example and learns the unwritten rules and logic of your coding. It can then accurately apply its learning to code new verbatims the way you would code them. General purpose AI (like ChatGPT) doesn’t know your data so doesn’t understand the nuance and implicit rules of your coding in the way that Machine Learning can.

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