Custom Models

 
We help organizations leverage the data they have built upon over the years by providing custom solutions that can be integrated within existing infrastructure without having to invest in ML expertise.

Usually, Deploying ML solution in production is a very arduous task involving multiple people with multiple skills set ranging from Data Science, MLOps, Analytics, Application Development etc.

Our aim here at Spren is to enable organizations to leverage the datasets they have by simplifying and accelerating this process based on their specific requirements.

Features

Data Labelling

Unlabeled data first needs to be labeled before it can be used to train models. This usually requires a lot of human involvement. Tools we have developed can help reduce human involvement while increasing the throughput.

Data Augmentation

Sometimes, the amount of labeled data available is not enough, in that case our Data Augmentation tools can increase that pool of available using NLU models.

MLOps

Machine Learning solution development is fraught with a variety of tools and techniques and usually it's not clear what to use when. Many usually give up just while trying to setup a machine. With our development tool set you can forget about all of that and create models with as few as 5 lines of code.

Deployment

Supports deployment flexibility with the ability to deploy similar models either on device, private cloud or public cloud according to the requirement.

Evaluation

Design, test and evaluate multiple experiments to identify best performing models

Develop Custom AI and ML solutions for your organization
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