​We envision, design, develop, and implement advanced computing & data strategies & solutions for science and society.

Vizias is a technology strategies & solutions company with an intense focus on advancing science and leveraging advanced computing and data techniques and solutions that impact and improve society. Our name means envisionat least according to one bad Esperanto translator in 2014 :-). (‘Esperanto’ itself means ‘one who hopes,' which we also love.) We are a small team of experienced computing and communications experts who are passionately hopeful for a better world. We envision technology strategies & solutions to make it better—and then work with our network of partners and collaborators to design, develop, and deliver these solutions and events.

​Vizias was founded in 2014 by longtime advanced computing leader Jay Boisseau and by entrepreneur, educator, and web & communications expert Allison Warner. Vizias is led by managing partners Boisseau and another longtime advanced computing leader, Luke Wilson.

Mission

The advent of powerful and pervasive computing technologies and the generation and collection of massive digital data present an unprecedented opportunity to understand and improve our world: our health and well-being, our communities and cities, our businesses and organizations, and our understanding of our society and world. HPC, AI, cloud computing, data analytics, and other technologies and approaches are crucial to leveraging vast data and solving big challenges.

Values

  • We create opportunities for everyone by contributing our expertise, effort, and resources to our community, non-profit organizations, and charities. 

  • Collaboration, discussion, and education are fundamental to improving society.​​

  • Computing & technology innovations can help solve the big problems facing people, companies and organizations, researchers, governments, cities and communities, and our society and planet.

  • ​We believe in the responsible usage of data and technology, with transparency and without bias.