Insights

Innovative Focus Ought specializes in applying machine learning to enhance collective intelligence and human reflection, positioning it as a pioneering player in ethical and cognitive AI solutions, ideal for organizations looking to integrate advanced AI that aligns with thought leadership and future-thinking strategies.

Tech Stack Advantage The company's use of modern and robust technologies such as React, Kubernetes, and TypeScript indicates its capability to develop scalable and cutting-edge software. This presents opportunities for partnerships or sales of cloud infrastructure, developer tools, and AI-related integrations.

Market Positioning Despite a modest revenue range, Ought's focus on research services and machine learning suggests potential for growth within educational, research, and enterprise sectors seeking tools to boost human cognition and decision-making, especially as AI adoption accelerates globally.

Recent Industry Movements Recent news about Houghton Mifflin Harcourt's acquisition by private equity firms hints at increased activity in the education technology sector, creating potential sales opportunities related to innovative learning platforms, content, or AI-driven education solutions that align with Ought's mission.

Growth Opportunities With a small team and a focus on scalable machine learning systems, there is a strategic opportunity to offer specialized consulting, AI tools, or integration services to support Ought's expansion into larger markets or to enhance their existing research and development capabilities.

Similar companies to Ought

Ought Tech Stack

Ought uses 8 technology products and services including Mixpanel, Kubernetes, RSS, and more. Explore Ought's tech stack below.

  • Mixpanel
    Analytics
  • Kubernetes
    Containerization
  • RSS
    Content Management System
  • Jupyter
    File Sharing
  • React
    Javascript Frameworks
  • Stripe
    Payment Processing
  • TypeScript
    Programming Languages
  • Google Analytics
    Web Analytics

Media & News

Ought's Email Address Formats

Ought uses at least 1 format(s):
Ought Email FormatsExamplePercentage
First@ought.orgJohn@ought.org
100%

Frequently Asked Questions

Where is Ought's headquarters located?

Minus sign iconPlus sign icon
Ought's main headquarters is located at 1714 Stockton Street San Francisco, California United States. The company has employees across 3 continents, including North AmericaAsiaEurope.

What is Ought's stock symbol?

Minus sign iconPlus sign icon
Ought is a publicly traded company; the company's stock symbol is HMHC.

What is Ought's official website and social media links?

Minus sign iconPlus sign icon
Ought's official website is ought.org and has social profiles on LinkedIn.

What is Ought's NAICS code?

Minus sign iconPlus sign icon
Ought's NAICS code is 5417 - Scientific Research and Development Services.

How many employees does Ought have currently?

Minus sign iconPlus sign icon
As of June 2026, Ought has approximately 17 employees across 3 continents, including North AmericaAsiaEurope. Key team members include Chief Executive Officer: A. S.Salesperson: A. G.Product Management Intern: J. H.. Explore Ought's employee directory with LeadIQ.

What industry does Ought belong to?

Minus sign iconPlus sign icon
Ought operates in the Research Services industry.

What technology does Ought use?

Minus sign iconPlus sign icon
Ought's tech stack includes MixpanelKubernetesRSSJupyterReactStripeTypeScriptGoogle Analytics.

What is Ought's email format?

Minus sign iconPlus sign icon
Ought's email format typically follows the pattern of First@ought.org. Find more Ought email formats with LeadIQ.
Ought logo

Ought

Research ServicesCalifornia, United States11-50 Employees

Ought is a research services company based in San Francisco, California, with a small-to-mid-sized team. It develops scalable systems that apply machine learning to support human thinking, rather than solely automate tasks. The aim is for future advances in ML to enhance the way people think and reflect, thereby increasing collective intelligence.

Its work centers on domains where data are abundant and objectives are easily measurable, using ML-driven approaches to assist thinking and reasoning. In this context, Ought seeks to help people think more effectively by designing systems that augment cognitive processes. The company operates within the research services industry, focusing on the intersection of machine learning and cognitive tasks while maintaining a compact organizational footprint.

Section iconCompany Overview

Headquarters
1714 Stockton Street San Francisco, California United States
Website
ought.org
Stock Symbol
HMHC
NAICS Code
5417 - Scientific Research and Development Services
Employees
11-50

Section iconFunding & Financials

  • $1M

    Ought's revenue is estimated to be in the range of $1M

Section iconFunding & Financials

  • $1M

    Ought's revenue is estimated to be in the range of $1M

Ready to create more pipeline?

Get a demo and discover why thousands of SDR and Sales teams trust
LeadIQ to help them build pipeline confidently.

© LeadIQ, Inc. All rights reserved.