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.

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101072897 Long Airport AvenueUSASmall
10121559 rue de l'AbbayeFranceSmall
10134227 rue du Colonel Pierre AviaFranceMedium
10145678934 Hillside Dr.USAMedium
10159147734 Strong St.USAMedium
1016819408 Furth CircleUSAMedium
101809184, chausse de TournaiFranceSmall
101881Drammen 121, PR 744 SentrumNorwayMedium
1020125557 North Pendale StreetUSASmall
102111425, rue LauristonFranceMedium
102231636 St Kilda RoadAustraliaMedium
1023772678 Kingston Rd.USASmall
1025127476 Moss Rd.USAMedium
10263225593 South Bay Ln.USAMedium
10275167, rue des Cinquante OtagesFranceMedium
10285639323 Spinnaker Dr.USAMedium
102999Keskuskatu 45FinlandSmall
103095Erling Skakkes gate 78NorwayMedium
1031817586 Pompton St.USAMedium
103291897 Long Airport AvenueUSAMedium

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.