Datagrind

Mission: Data literacy for the many Vision: Making data easy for humans so that humans can empathise with AI and future of data operations Our thoughts on what the future of tech cannot afford? The data will be complex = nested and will be too large in all different sizes and shapes Thus, what the future of tech can’t afford is any of these 1. Slow data processing 2. ⁠RDBMS and joints 3. Storage without usage 4. ⁠high Human intervention to run and maintain tech stack 5. ⁠the use of word CTO, it will just be data operations. No tech stack, only data and its operations at highly efficient and large scale. Datagrind tends to develop a no code system to solve for this With our capabilities like 1. Deep data understanding layer 2. ⁠inbuilt user event data tracking 3. ⁠Hyper fluid data schema 4. ⁠interaction with hyper personalised capabilities; this time even for backend employees 5. UI enabled with vector level modularity and inbuilt instrumentation of user events Our technical target as a team is to achieve capability to achieve production ready applocations in 5 hours with the advantages detailed above