Kellar

Your data,

Build AI-driven models of your own data and generate limitless amount of fully realistic synthetic data, tuned just for your own specific use case. Build, host and use your models with simple cloud-based UI and API.

We are moving towards beta testing. Subscribe to our mailing list if you want to get involved.

ORDERNUMBERQTR_IDPRODUCTCODECUSTOMERNAMECONTACTLASTNAME
101071S10_1678Land of Toys Inc.Yu
101212S10_1678Reims CollectablesHenriot
101343S10_1678Lyon SouveniersDa Cunha
101453S10_1678Toys4GrownUps.comYoung
101594S10_1678Corporate Gift Ideas Co.Brown
101684S10_1678Technics Stores Inc.Hirano
101804S10_1678Daedalus Designs ImportsRance
101884S10_1678Herkku GiftsOeztan
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102111S10_1678Auto Canal PetitPerrier
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102512S10_1678Tekni Collectables Inc.Brown
102632S10_1678Gift Depot Inc.King
102753S10_1678La Rochelle GiftsLabrune
102853S10_1678Marta's Replicas Co.Hernandez
102993S10_1678Toys of Finland, Co.Karttunen
103094S10_1678Baane Mini ImportsBergulfsen
103184S10_1678Diecast Classics Inc.Yu
103294S10_1678Land of Toys Inc.Yu

Solving data scarcity

In the era of Big data, controversially, data can feel like a scarce resource. Limited amount of relevant data can dramatically slow your application development, require you to do expensive data collection, or make your machine learning model dumber than it should be.

Efficent Application development

Modern web applications are built on top of real-world data. Without enought realistic data, your development mockups and prototypes do not communicate the right message to your test users, and understanding the value you are trying to provide may become unclear.

Comprehensive Testing

Building reliable software requires rigorious testing, and your tests require lot of data to cover enough corner-cases. Simple API-based generation of realistic test data fits well into your current CI/CD pipeline.

Smarter data-science

Most of the successfull data-science models are data-hungry, and collecting enough data might be possible only for large tech giants. With intelligent data synthetization, you can achieve large-scale representative dataset without expensive data collection.