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.

STATUSPRODUCTCODEPHONEADDRESSLINE1DEALSIZE
ShippedS10_16782125557818897 Long Airport AvenueSmall
ShippedS10_167826.47.155559 rue de l'AbbayeSmall
ShippedS10_1678+33 1 46 62 755527 rue du Colonel Pierre AviaMedium
ShippedS10_1678626555726578934 Hillside Dr.Medium
ShippedS10_167865055513867734 Strong St.Medium
ShippedS10_167865055568099408 Furth CircleMedium
ShippedS10_167820.16.1555184, chausse de TournaiSmall
ShippedS10_1678+47 2267 3215Drammen 121, PR 744 SentrumMedium
ShippedS10_167865055557875557 North Pendale StreetSmall
ShippedS10_1678(1) 47.55.655525, rue LauristonMedium
ShippedS10_167803 9520 4555636 St Kilda RoadMedium
ShippedS10_167821255515002678 Kingston Rd.Small
ShippedS10_167820155593507476 Moss Rd.Medium
ShippedS10_1678203555257025593 South Bay Ln.Medium
ShippedS10_167840.67.855567, rue des Cinquante OtagesMedium
ShippedS10_1678617555855539323 Spinnaker Dr.Medium
ShippedS10_167890-224 8555Keskuskatu 45Small
ShippedS10_167807-98 9555Erling Skakkes gate 78Medium
ShippedS10_167821555515557586 Pompton St.Medium
ShippedS10_16782125557818897 Long Airport AvenueMedium

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.