Datafi enables business data where it lives in a simple and secure way. So business data owners and data consumers can develop new data workflows and modern data apps by connecting to data where it lives around an advanced policy structure for data access and data privacy. Datafi Cloud delivers immediate time-to-value and is designed for non-technical users delivered as a service where our customers pay only for what they use - aligning the costs of the service to the value received. Customers of Datafi Cloud are able to better collaborate around ANY business data to improve operational efficiencies, better serve their customers and increase profitability with better data driven results.
Who are your first pilot customers? (It’s okay if you don’t have one yet, but if you do, please list):
Our initial launch customer was Unified Power, a midsize manufacturing and services company in the Terrell TX.. We have been working with several design customers in healthcare, technology, services and government during the design and launch phase of Datafi Cloud. Datafi Cloud is now commercially available as service and we reached our first revenue milestone in July.
What technologies do you use?:
Datafi Cloud is a cloud-native solution available on each of the major cloud platforms and on-prem. We are using high-performance server-less elastic compute layers, we are adding machine learning to the data authorization and schema data privacy layers and we have released our initial no-code application layer that leverages the data abstraction and policies of Datafi Cloud
Which category do you see yourself in?:
Data to Decisions and AI
Where is the company headquartered?:
Seattle
How many employees do you have today?:
6-10
What is the state of your minimal viable offering?:
The company was founded by a team of repeat entrepreneurs and both business and technology leaders that have deep data domain knowledge with a simple vision that business data should be accessible in a simple and secure way to all data stakeholders and not limited to data users with technical knowledge or tools.