Skip to content

Solution

We believe the first step is to create proprietary datamesh that is comprehensive and unbiased. The world is filled with messy data on the internet. It’s difficult to harvest. We harvest data from different corners of the world and organize it in a way that makes it accessible for analysts and decision-makers. Think of this repository like a librarian. Fetching from corners of the web and serving data in a normalized and standard analysis ready form as per your preference.

At the heart of our value proposition is to bring our clients closer to understanding the unknown unknowns that affect their business. By bringing together the largest collection of relevant data, there is a greater chance that we can help them extract insights and trends not before seen.

Analysts and data science understand that this solution is saving them years!

These are the 5 tenets of our datamesh:

  • Centralized:centralized governance and infrastructure hosting the diverse data, single end-point.
  • Standards: global and local standards, standards for spatio-temporal and domain-curated — enabling local and global schema with standard common fields and related meta-data.
  • Comprehensive: diversity and depth of multi-modal data across domains.
  • Decentralized: the architecture distributes data ownership to domain-specific teams that manage, own, and serve the data as a product.
  • Distributed: distributed domain-curated datasets and log standards.

The prospects of standardized data mesh hosting the most unique combination of data across reliable sources on the internet empowers the AI community to build scalable knowledge graphs. We are personally empowered by the ability to do data joins across various sources. Much of this work has been done in conjunction with industry leading data scientists and executives across global multinational companies and global governments.

Types of Data Products:

  • Level 1: Proprietary Public Data (Standard).
  • Level 2 and 3: Proprietary Public Data (Premium)
  • Level 4: Subscription Data (Subscription)
  • Level 5: Private Data (Private)