What ForecastOS does

ForecastOS Inc., founded in 2023 and headquartered in Vancouver, British Columbia, builds an AI-native platform that converts unstructured data—podcasts, SEC filings, news, video, audio, and social media—into clean, point-in-time factors for institutional investors. Its primary product, Hivemind, is a generative-AI trend and company-exposure engine that quantifies market narratives, measures trend intensity, and scores directional exposure for every company in a universe of more than 3,000 U.S. equities. Companion modules—FeatureHub (a library of thousands of pre-engineered point-in-time factors accessible in one line of code), Portfolio Management (an open-source backtesting and portfolio-construction framework), and Skylight (an investment-strategy analytics UI with enterprise-grade access management)—extend the platform from factor generation to portfolio construction and visualization, and are integrated via a public Python API and `forecastos` open-source SDK.

The core technology stack is a generative-AI/NLP pipeline that semantically indexes multi-modal media, then reconstructs historical consensus at each point in time so backtests remain free of look-ahead bias. Custom pipelines allow quants to configure factor recipes and trend aggregations, weighting different data sources and combining signals as they see fit. Validated customer outcomes include a 5% excess return since inception on a Venezuela Hivemind Trend strategy and a 2.5% annualized excess return with a 1.0x information ratio on an S&P 500 macro overlay at 3.4x one-way turnover.

ForecastOS sells enterprise subscriptions on an annual, quote-based contract to quantitative portfolio managers, hedge funds, and asset managers, supported by a direct enterprise field-sales motion that includes demo booking and trial access via [email protected]. The leadership team is led by Founder/CEO Charlie Reese, formerly a quant at CPPIB and an investment banker at Wells Fargo and Rothschild; the board was expanded with the appointment of Charlie Feng. The firm remains privately held, has raised a single disclosed $500,000 seed round (November 2023), and operates with 1-10 employees.

Name

ForecastOS

Legal name

ForecastOS Inc.

Website

https://forecastos.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

ForecastOS is a Vancouver-based AI platform that converts unstructured data—podcasts, SEC filings, news, and video—into point-in-time factors for institutional investors. Its Hivemind engine, FeatureHub library, and open-source Portfolio Management suite serve hedge funds and quantitative portfolio managers.

Ownership category

akta.pro rank

Product category

AI-Driven Quantitative Investment Research Platform

NAICS

Software Publishers (5132), Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Scenario Planning, Forecasting Platforms & Planning Intelligence (HDAAAHAL)

Keywords

• AI-driven investment research
• Alternative data analytics
• Quantitative factor library
• Systematic backtesting software
• Institutional trading platform

Headquarters

HQ city

Vancouver

HQ country

Canada

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Institutional Subscription: Subscription-based access to Hivemind, FeatureHub, and Portfolio Management modules for institutional investors. Pricing is quote-based and not publicly disclosed, indicating enterprise-tier annual or multi-year contracts tailored to institutional needs.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels6 records

Core offering

ForecastOS is a unified AI management (AIM) platform that converts unstructured data sources (podcasts, SEC filings, news, video, audio, social media) into clean, point-in-time factors and narrative-driven company exposures for systematic trading strategies. The platform comprises four products sold together as an institutional subscription: Hivemind (generative-AI trend identification and company exposure engine), FeatureHub (library of thousands of pre-engineered point-in-time factors), Portfolio Management (open-source backtesting and portfolio construction framework), and Skylight (investment strategy analytics UI). It is delivered via a web UI and public API and is targeted at institutional investors, hedge funds, and quantitative portfolio managers.

Product overview

ForecastOS offers a platform-plus-modules architecture for institutional investors consisting of four core products: Hivemind serves as the primary generative-AI engine for turning unstructured data (podcasts, filings, media) into clean, point-in-time factors and company-level exposures; FeatureHub provides a library of thousands of pre-engineered point-in-time factors accessible via one-line API calls; Portfolio Management (PM) delivers an open-source framework for portfolio construction and backtesting with optimization strategies, cost models, and risk models; and Skylight offers a visual analytics UI for systematic investment research. These products are designed to work together, with Hivemind generating custom factors that flow into PM backtests and Skylight providing visualization across all outputs.

Differentiator

Problem solved

Functional benefit

Brands

• Hivemind: AI-driven trend identification and company exposure engine that measures discussion to discover market-relevant trends and scores trend impact with direction and magnitude for every company in a universe.
• FeatureHub
• Skylight
• Portfolio Management (PM)

Products and services

• ForecastOS Hivemind A generative-AI trend identification and company exposure engine that measures public discussion to discover market-relevant trends and scores trend impact (direction and magnitude) for every company in a universe. All processes and outputs are customizable and point-in-time. Built for institutional quants.
• FeatureHub A factor library providing access to thousands of point-in-time (PIT) pre-engineered features/factors with one line of code, eliminating the need for a separate data engineering pipeline and enabling direct consumption of factors via API.
• Portfolio Management (PM) An open-source, opinionated framework for constructing and backtesting portfolios in a consistent, extensible way, providing optimization strategies, cost models, risk models, and reporting tools.
• Skylight An investment strategy analytics UI that visualizes, manages, understands, and analyzes systematic investment research processes with enterprise-grade access management.

Quantifiable outcome

• Venezuela Hivemind Trend delivered 5% excess return since inception
• +2 more outcomes

Named customers2 records

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature5 records

Scale indicators3 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• RavenPack: RavenPack is a leading alternative-data and NLP platform for institutional investors, transforming news and unstructured content into quantitative signals. It is a direct peer to ForecastOS Hivemind, competing in the same narrative-to-alpha use case for hedge funds and quant portfolio managers.
• Accern: Accern provides no-code NLP workflows for financial services, turning unstructured data into trading and risk signals. It overlaps with ForecastOS on AI-powered extraction of sentiment and themes from alternative data for institutional investment workflows.
• Auquan: Auquan is an AI-powered workflow and data intelligence platform for investment managers, automating unstructured-data analysis for due diligence, ESG, and signal generation. It is a direct emerging competitor to ForecastOS in applying AI to alternative data for systematic and fundamental investors.
• Eagle Alpha: Eagle Alpha is an alternative-data aggregator and intelligence platform for institutional investors, curating datasets and providing analytics. It overlaps with ForecastOS in serving quant investors seeking differentiated datasets and signals, though with a stronger marketplace curation angle.
• Prattle (acquired by Liquidaty/TEGO): Prattle developed NLP models that quantified central bank communications and corporate language into investable signals, directly comparable to ForecastOS's narrative-factor approach. It is a historical direct peer that validates the institutional appetite for narrative-derived alpha signals.
• Sentieo (now part of AlphaSense): Sentieo offered financial research, NLP-driven document search, and data visualization for asset managers before its AlphaSense acquisition. It competed directly with ForecastOS's narrative/document analysis use case for buyside users.

Broad incumbents

• AlphaSense: AlphaSense (including the acquired Sentieo) is a broad market-intelligence platform combining enterprise search, NLP, and analyst workflows for corporates, banks, and asset managers. It overlaps with ForecastOS's NLP-from-unstructured-content thesis but serves a much broader customer base with a wider product portfolio.
• Bloomberg (Bloomberg Terminal / NLP): Bloomberg offers terminal-based analytics, news, and increasingly NLP-driven insights for institutional investors. While not specialized in narrative factors, it competes for the same institutional budget and offers overlapping capabilities as part of a much broader enterprise platform.
• FactSet: FactSet provides portfolio analytics, factor research, and data feeds to institutional investors. It is a broad incumbent competing for the same quant and asset-management wallet, with established factor libraries that overlap with ForecastOS's FeatureHub offering.

Emerging players

• Untold Insights: Untold Insights applies narrative analytics and AI to financial markets, scoring stories to predict stock movements. It is an emerging niche player with partial overlap to ForecastOS's narrative-intelligence methodology for institutional and corporate clients.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/forecastos/forecastos

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about ForecastOS