News & Events
Developing Trading platform based on blockchain for a Fintech Startup from Sydney, AUS
Elated to be chosen as a sole technology partner for developing a comprehensive trading platform using Blockchain with powerful real-time pricing engines offering a new perspective to the financial markets.
We made it through 18 months of a Global Pandemic
We survived 18 months of a pandemic. May be half way in! We have grown 30% due to the dedication of Sysviners and their efforts to make a difference with the less fortunate. Thank you for the healthcare professionals to give us a chance to work in our industry to keep the wheels of the economy moving..
Data Pipelines for Big Data Consumer Survey Analytics Product firm
We are elated to announce that our existing client who is one of the global retail analytics SaaS provider has selected Sysvine to design and develop data pipelines for their Consumer Survey Analytics Platform.
B2C and B2B SaaS solution for a Health Tech for an Australian Startup
Schools, Colleges and Organizations would require various psychological evaluations of individuals. Our healthcare tech client from Sydney Australia provides an innovative gateway service with B2C interface for the evaluations and B2B interfaces to organizations for the results. Excited to be hired to develop the platform from scratch!
Learning Management Cloud Platform for Indonesian Market
One of our existing clients from Asia-Pacific region have awarded us to launch an LMS cloud SaaS for Indonesian healthcare market. Excited to do the first project for Indonesian market. The multi-language SaaS hosted at AWS on EKS platform is auto-scalable for the healthcare professionals of Indonesia.
Data Pipeline Manager for Big Data Retail Analytics Platform
We are excited to announce that our existing client who is one of the global retail analytics providers has requested Sysvine to design and develop a Control Manager for all data pipelines. The DPM increases visibility to all the stakeholders: data publishers, data consumers and the big data ops.