Introduction

Logosphere enables interconnected data for richer data insights and decision smartly linking data inside your company across various projects to external data sources.

Logosphere Introduction

https://www.youtube.com/watch?v=b5yW_MGolf8

Problem

The importance of big data is well known, but is met with problems such as security, privacy, and tooling. Managing data

  1. No data bootstrapping frameworks: To get off the ground, projects often tend to leverage powerful frameworks, but there lacks frameworks which focus on strong data paradigms.
  2. Data is Siloed: As products and companies scale, data sizes become increasingly unwieldy and fragile. Data resides inside their respective features and services, making it difficult for cross company decision makers.
  3. Making Data Driven Decisions is hard: The process of parsing, ingesting, and accurately linking external data into your internal datasets presents a formidable challenge, thereby impeding key decision-makers in their ability to make comprehensive, macro-level decisions.
  4. New technology stacks are expensive: While emerging technologies such as Web3/blockchain can offer solutions, building on web3 can cost much more than its unproven value.

Limited data makes decisions incomplete

The process of parsing, ingesting, and accurately linking external data into your internal datasets presents a formidable challenge. Because of this, data and insights from market research is often compared against internal data, but never linked or combined as the data sets are segregated and worked on by different teams from business and engineering. This can lead to malinformed decisions or a large delay between data collection and decision making thereby impeding key decision-makers in their ability to make comprehensive, macro-level decisions.

Our Solution

By providing tooling to facilitate describing data and linking to other data sources, Logopshere enables interoperability between a company's data and any other data sources they may find useful.

  1. Low-Code Bootstrapper: Allow developers to maintain rapid iteration by providing code generation based on familiar domain driven design patterns future proofing their data integrations.
  2. Data Linking via Knowledge Graphs: make linking data between different features, services, and products simple. This enables companies to connect external data sources to internal data and have a smooth data flow.
  3. Abstracting new Paradigms: this novel solution is possible by leveraging web3 technologies which bring a plethora of hardships which are shielded from developers.

Product Roadmap