About HASH

HASH is an open-source platform that combines knowledge capture and modeling tools with distributed simulation to create a self-building database for decision-making. It addresses information failure by enabling users to securely sync and visualize data from various sources, enhancing the accuracy and effectiveness of their decisions.

```xml <problem> Decision-making is often hindered by fragmented data silos and the inability to effectively integrate and visualize information from diverse sources. This leads to information failure, where critical insights are missed due to the difficulty of consolidating and understanding disparate data points. </problem> <solution> HASH is an open-source platform designed to address information failure by providing tools for knowledge capture, data modeling, and distributed simulation. The platform enables users to securely synchronize and visualize data from various sources, creating a self-building database that enhances the accuracy and effectiveness of decision-making. By passively capturing data as users browse and actively integrating information from existing applications, HASH creates a unified view of knowledge. Users can connect AI models to their private web of data, create interactive pages, and visualize information through dashboards. </solution> <features> - Securely syncs data from various sources, including apps, files, messages, and the web. - Creates and enriches entities as users browse, passively capturing knowledge. - Allows users to specify areas of interest for AI to research and keep data fresh. - Deduplicates and cleans data to ensure accuracy and consistency. - Connects to AI models like ChatGPT to supercharge data analysis. - Enables the creation of interactive pages and dashboards for data visualization. - Provides a multiplayer environment for sharing and interlinking knowledge with others. - Maintains infinite history, allowing users to view their web as it existed at any point in time. - Assures provenance by tracking the source, modification history, and evolution of information. </features> <target_audience> HASH targets individuals and organizations seeking to improve decision-making by creating a unified, self-building database from disparate data sources. </target_audience> ```

What does HASH do?

Where is HASH located?

HASH is based in East New York, United States.

When was HASH founded?

HASH was founded in 2019.

How much funding has HASH raised?

HASH has raised 2500000.

Location

East New York, United States

Founded

2019

Funding

2500000

Employees

35 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

HASH

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

hash.ai 2K+

Founded 2019 – East New York, United States

Funding

Estimated Funding

$2M+

Team (30+)

No team information available.

Company Description

Problem

Decision-making is often hindered by fragmented data silos and the inability to effectively integrate and visualize information from diverse sources. This leads to information failure, where critical insights are missed due to the difficulty of consolidating and understanding disparate data points.

Solution

HASH is an open-source platform designed to address information failure by providing tools for knowledge capture, data modeling, and distributed simulation. The platform enables users to securely synchronize and visualize data from various sources, creating a self-building database that enhances the accuracy and effectiveness of decision-making. By passively capturing data as users browse and actively integrating information from existing applications, HASH creates a unified view of knowledge. Users can connect AI models to their private web of data, create interactive pages, and visualize information through dashboards.

Features

Securely syncs data from various sources, including apps, files, messages, and the web.

Creates and enriches entities as users browse, passively capturing knowledge.

Allows users to specify areas of interest for AI to research and keep data fresh.

Deduplicates and cleans data to ensure accuracy and consistency.

Connects to AI models like ChatGPT to supercharge data analysis.

Enables the creation of interactive pages and dashboards for data visualization.

Provides a multiplayer environment for sharing and interlinking knowledge with others.

Maintains infinite history, allowing users to view their web as it existed at any point in time.

Assures provenance by tracking the source, modification history, and evolution of information.

Target Audience

HASH targets individuals and organizations seeking to improve decision-making by creating a unified, self-building database from disparate data sources.