Platform

The essence of the platform is the statistical relationship

System is built on top of the System Platform, which comprises a suite of models, APIs, connectors, and packages powered by a large-scale graph database.

The platform extracts, enriches, normalizes, resolves and stores metadata about things that are related statistically. These relationships can be searched and retrieved through open standards. The essence of the platform is the statistical relationship.

Extract

Statistical and other metadata retrieval from various primary sources using Large Language Models (LLMs) and other methods.

Enrich

Algorithms to compute various additional statistical metadata.

Normalize

Algorithms to detect and determine strength and significance of statistical associations.

Resolve

Entity resolution to match objects semantically

Store

Large-scale graph database

Search

Graph traversal to gather statistically related objects

Retrieve

APIs to present the system of an object

The platform is designed based on our values and charter commitments, and our first principles. These principles include:

  • Retrieve and encode relationships at the highest possible resolution to preserve fidelity.

  • Be as objective, impartial, precise, and transparent as possible in how we represent information.

  • Edge-first. Design schemas from the edge out.

  • Integrate seamlessly with other parts of the data stack and the infrastructure of open knowledge.

  • Maximize node reusability and reuse to map the world as one system.

  • Minimize user data storage and personal data use.

We are always investigating ways to make the platform more open and interoperable.

Read our technical documentation
System - How anything in the world is related to everything else | Product Hunt
System Inc. is a Public Benefit Corporation
© 2024 System Inc. All rights reserved. System® and See the whole system® are registered trademarks of System Inc.

Platform

A new way of organizing and discovering 
information based on systems

At System, we believe that it is time to evolve the way we organize data and knowledge: from silos to systems. So starting from first principles we invented and patented a new way of organizing and discovering information — based primarily on measured statistical relationships between things in the world.

First Principles

We designed the platform from first principles.

  • Retrieve and encode statistical relationships at the highest possible resolution to preserve fidelity.
  • Be as objective, impartial, precise, and transparent as possible in how we represent information.
  • Integrate seamlessly with other parts of the data and information stack and the infrastructure of open knowledge.
  • Edge-first. Design schemas from the edge out. Relationships are first order objects.
  • Maximize node reusability and reuse to map the world as one system.
  • Minimize user data storage and personal data use.

Data

The essence of the platform is a measured statistical relationship.

  • We use AI to extract statistical relationships from peer-reviewed studies, datasets, and models. You can read about the steps we take to ensure accuracy in extraction here.
  • We have extracted the statistical results from millions of peer-reviewed studies, starting in health and life sciences. To the best of our knowledge, this is the first time statistical information retrieval has been achieved at this scale.
  • The platform recognizes over 100 types of statistical associations and algorithms (e.g. Odds Ratio, Pearson R, Hazard Ratio, etc.) and stores this information alongside measures of significance (e.g. p-value) and context (population, sample size, control variables, etc.).
  • We compute additional information to enrich a raw statistical association, like its strength, direction, and sign.
  • Using AI, we ground the statistical results we extract in known scientific terms.
  • Today, the resulting data powers System, the syntheses on System Pro, and is the basis of our graph.

The atomic unit of the System Graph is a statistical finding in a verified source

Graph

We organize statistical relationships in a large-scale graph.

  • Our graph is organized into nodes and edges. Nodes are measurable variables in the world (like body mass index or concentration of fine particulate matter) and the larger concepts they measure (like obesity or air pollution). Edges indicate a statistical relationship between two nodes in a specific context.
  • Notably, unlike knowledge graphs, the edges here are not primarily semantic. Instead, they are constructed around quantified evidence of association between things in the world. A causes B vs. A is a type of B.
  • We organize, normalize, and link these millions (in the future, billions) of relationships so that anything in the world can be connected to everything else across studies, disciplines, fields, etc.
  • Today, the graph powers the maps on System and System Pro.

Using AI, every day we extract, ground, and link findings from studies and databases

System - How anything in the world is related to everything else | Product Hunt
System Inc. is a Public Benefit Corporation
© 2024 System Inc. All rights reserved. System® and See the whole system® are registered trademarks of System Inc.