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.

MSRPCUSTOMERNAMEADDRESSLINE1TERRITORY
95Land of Toys Inc.897 Long Airport AvenueNA
95Reims Collectables59 rue de l'AbbayeEMEA
95Lyon Souveniers27 rue du Colonel Pierre AviaEMEA
95Toys4GrownUps.com78934 Hillside Dr.NA
95Corporate Gift Ideas Co.7734 Strong St.NA
95Technics Stores Inc.9408 Furth CircleNA
95Daedalus Designs Imports184, chausse de TournaiEMEA
95Herkku GiftsDrammen 121, PR 744 SentrumEMEA
95Mini Wheels Co.5557 North Pendale StreetNA
95Auto Canal Petit25, rue LauristonEMEA
95Australian Collectors, Co.636 St Kilda RoadAPAC
95Vitachrome Inc.2678 Kingston Rd.NA
95Tekni Collectables Inc.7476 Moss Rd.NA
95Gift Depot Inc.25593 South Bay Ln.NA
95La Rochelle Gifts67, rue des Cinquante OtagesEMEA
95Marta's Replicas Co.39323 Spinnaker Dr.NA
95Toys of Finland, Co.Keskuskatu 45EMEA
95Baane Mini ImportsErling Skakkes gate 78EMEA
95Diecast Classics Inc.7586 Pompton St.NA
95Land of Toys Inc.897 Long Airport AvenueNA

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.