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.

ORDERDATEMONTH_IDCUSTOMERNAMEPHONECITY
2/24/2003 0:002Land of Toys Inc.2125557818NYC
5/7/2003 0:005Reims Collectables26.47.1555Reims
7/1/2003 0:007Lyon Souveniers+33 1 46 62 7555Paris
8/25/2003 0:008Toys4GrownUps.com6265557265Pasadena
10/10/2003 0:0010Corporate Gift Ideas Co.6505551386San Francisco
10/28/2003 0:0010Technics Stores Inc.6505556809Burlingame
11/11/2003 0:0011Daedalus Designs Imports20.16.1555Lille
11/18/2003 0:0011Herkku Gifts+47 2267 3215Bergen
12/1/2003 0:0012Mini Wheels Co.6505555787San Francisco
1/15/2004 0:001Auto Canal Petit(1) 47.55.6555Paris
2/20/2004 0:002Australian Collectors, Co.03 9520 4555Melbourne
4/5/2004 0:004Vitachrome Inc.2125551500NYC
5/18/2004 0:005Tekni Collectables Inc.2015559350Newark
6/28/2004 0:006Gift Depot Inc.2035552570Bridgewater
7/23/2004 0:007La Rochelle Gifts40.67.8555Nantes
8/27/2004 0:008Marta's Replicas Co.6175558555Cambridge
9/30/2004 0:009Toys of Finland, Co.90-224 8555Helsinki
10/15/2004 0:0010Baane Mini Imports07-98 9555Stavern
11/2/2004 0:0011Diecast Classics Inc.2155551555Allentown
11/15/2004 0:0011Land of Toys Inc.2125557818NYC

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.