Implementing superior AI models requires tools
Data scientists need to build AI models. However, cleaning up text, labeling data with domain experts, training models, assessing quality, tracking machine learning experiments… are tedious and time-consuming tasks.
Can Kairntech’s AI make life easier for Data Scientists?

Focus on your expertise, we take care of the rest

A fully integrated, pre-packaged and open environment
- Save time on data preparation and model training, reconciliation and output formatting.
- Easily parameter pre-packaged and state-of-the-art machine and deep learning algorithms.
- Import your own models through a Python SDK.
- View the list of supported technologies
Experiment and customize AI pipelines
- Connect training datasets with AI experiments with pre-packaged ML frameworks
- Assess the quality of experiments, return to the training dataset at any time, correct it, add new annotated text, and re-train all your models to see immediately if the quality improves.
- Experiment with technical components such as vectorizers and segmenters, LLMs and prompts to improve retriever quality.


Boost team collaboration
- Collaborate seamlessly with domain experts to improve annotation in targeted areas to increase model quality.
How does it work?

Upload your documents, clean and prepare data, define your annotators and configure your annotation campaign.

Configure training & model parameters, select embeddings, launch your experiments.
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Check quality by comparing the predictions with the true labels, refine dataset, iterate to find the best AI model.
We are here to help
100% secured, 100% transparent

All our data storage systems take into account the constraints of the GDPR.

Manage fine-grained access rights to facilitate access to multiple stakeholders.

In the cloud or on-premise, choose the mode that best suits your organization.
They trust us


Can Kairntech’s AI make life easier for Data Scientists?