About Project Pluto, Inc.

Terminal X develops an enterprise search intelligence platform that utilizes large language models to provide finance professionals with real-time, exhaustive data retrieval and analysis from over 100,000 sources, including news and SEC filings. This technology enables users to efficiently generate investment theses and make informed decisions without the need for extensive manual searching across multiple data portals.

```xml <problem> Finance professionals spend significant time manually searching across multiple data portals and third-party providers to gather information for investment theses and decision-making. Sifting through vast amounts of public and private research, filings, news, and social media content is time-consuming and inefficient. </problem> <solution> Terminal X provides an enterprise search intelligence platform that leverages large language models to deliver real-time, exhaustive data retrieval and analysis from over 100,000 sources. The platform centralizes access to public and private research, SEC filings, news, and social media, enabling users to retrieve knowledge from a single query. Terminal X's AI agent is designed to search and analyze data like an investment analyst, extracting insights and building components of investment memos and trade theses. The platform delivers reliable and contextualized data, allowing finance professionals to make data-driven decisions efficiently. </solution> <features> - Real-time indexing of over 100,000 sources, including public and private research, filings, news, and social media. - AI agent model designed to search and think like an investment analyst. - Automated extraction of insights and generation of investment memo and trade thesis components. - News agent that delivers real-time price signals to explain price movements of public securities. - Vertical Agent Finance RAG (Retrieval-Augmented Generation) and LLMOps (Large Language Model Operations) technology. </features> <target_audience> The primary users are finance professionals, including analysts at L/S equity and global macro funds, who require exhaustive and accurate data for investment research and decision-making. </target_audience> ```

What does Project Pluto, Inc. do?

Where is Project Pluto, Inc. located?

Project Pluto, Inc. is based in City of New York, United States.

When was Project Pluto, Inc. founded?

Project Pluto, Inc. was founded in 2022.

How much funding has Project Pluto, Inc. raised?

Project Pluto, Inc. has raised 3000000.

Location

City of New York, United States

Founded

2022

Funding

3000000

Employees

8 employees

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Project Pluto, Inc.

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

projectpluto.co 1K+

Crunchbase

Founded 2022 – City of New York, United States

Funding

Estimated Funding

$3M+

Team (5+)

No team information available. Click "Fetch founders" to run a focused founder search.

Company Description

Problem

Finance professionals spend significant time manually searching across multiple data portals and third-party providers to gather information for investment theses and decision-making. Sifting through vast amounts of public and private research, filings, news, and social media content is time-consuming and inefficient.

Solution

Terminal X provides an enterprise search intelligence platform that leverages large language models to deliver real-time, exhaustive data retrieval and analysis from over 100,000 sources. The platform centralizes access to public and private research, SEC filings, news, and social media, enabling users to retrieve knowledge from a single query. Terminal X's AI agent is designed to search and analyze data like an investment analyst, extracting insights and building components of investment memos and trade theses. The platform delivers reliable and contextualized data, allowing finance professionals to make data-driven decisions efficiently.

Features

Real-time indexing of over 100,000 sources, including public and private research, filings, news, and social media.

AI agent model designed to search and think like an investment analyst.

Automated extraction of insights and generation of investment memo and trade thesis components.

News agent that delivers real-time price signals to explain price movements of public securities.

Vertical Agent Finance RAG (Retrieval-Augmented Generation) and LLMOps (Large Language Model Operations) technology.

Target Audience

The primary users are finance professionals, including analysts at L/S equity and global macro funds, who require exhaustive and accurate data for investment research and decision-making.