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What is Pinegap?

Pinegap is a cloud-centric artificial intelligence platform specifically designed for buy-side investment teams, including institutional equity analysts and portfolio managers. It enhances research workflows that incorporate activities such as generating and validating investment ideas, assessing company growth, evaluating earnings and conferences, and consistently monitoring investment theses. The platform features a diverse array of tools, including company primers, earnings predictions and analyses, proxy assessments, screeners, and news updates, as well as AI-driven analysis of financial filings, data, and research documents. Users benefit from a collaborative research environment that houses models, notes, filings, agent alerts, and updates related to their investment strategies. Additionally, Pinegap includes a remote Model Context Protocol (MCP) connector, which allows compatibility with Claude and other AI systems, facilitating easy access to its extensive range of equity research tools. As a web-based service, it is focused on improving the research capabilities of analysts without providing direct investment guidance. This commitment to optimizing research processes positions Pinegap as an essential resource for teams aiming to enhance their equity analysis capabilities, ultimately leading to more informed investment decisions.

What is FN2?

FN2 operates as a self-sufficient stock decision-making platform aimed at freeing you from the monotonous daily research grind. Instead of repeating the same research routine every day, FN2 utilizes AI-driven agents to continuously observe market conditions, perform thorough research on a predetermined schedule, and deliver their insights straight to your Inbox, Phone, or Discord. You can articulate your tracking desires in simple language, whether you want to monitor a specific stock, a sector, a particular investment thesis, or even request notifications like "alert me when NVDA's guidance changes," or you can opt for various pre-set agents. FN2 then converts your preferences into an independent research agent that functions on your timeline—whether that’s before market hours, right after earnings announcements, or on a weekly basis. Each agent diligently examines earnings-call transcripts, gathers macroeconomic data from FRED, assesses tickers, generates visual representations, and combines all this information to present you with a comprehensive summary that is ready for decision-making, rather than merely a pile of raw data. This eliminates the hassle of managing numerous browser tabs, dependence on screeners, and the burdensome need for manual morning research. FN2 is tailored for individual investors and analysts who are often inundated by the vast amount of tabs, transcripts, and screeners that come with repetitive daily tasks. By optimizing the research workflow, FN2 empowers you to concentrate on crafting informed investment choices with enhanced efficiency and convenience, ultimately transforming your approach to stock market analysis.

Media

No images available

Media

No images available

Integrations Supported

Claude
Model Context Protocol (MCP)

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Subscription fees and payment schedules are specified in an executed Order Form. Fees are stated and payable in U.S. dollars.
Free Trial Offered?

Pricing Information

$30/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Pinegap

Date Founded

2024

Company Location

United States

Company Website

www.pinegap.ai/

Company Facts

Organization Name

FN2

Date Founded

2026

Company Location

United States

Company Website

fn2.ai

Categories and Features

AI Finance

Not specified

Categories and Features

Financial Research

Not specified

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