Speak vs IBM

Side-by-side comparison of AI visibility scores, market position, and capabilities

IBM leads in AI visibility (80 vs 62)

Speak

ChallengerEducation

AI Language Learning

AI language learning app focused on conversational practice. $1B valuation (unicorn). $100M revenue. Backed by OpenAI. Founded 2016, SF. $162M total raised. Private.

AI VisibilityBeta
Overall Score
B62
Category Rank
#1 of 2
AI Consensus
75%
Trend
up
Per Platform
ChatGPT
56
Perplexity
63
Gemini
59

About

Speak was founded in 2016 in San Francisco with the mission of eliminating the speaking barrier in language learning — the gap between understanding a language academically and being able to use it fluently in real conversation. The company built an AI language tutor that creates immersive, voice-first practice environments allowing learners to speak freely without the anxiety of a human judge, with AI providing immediate pronunciation feedback, correction, and contextual follow-up questions.\n\nSpeak's app focuses on conversational output rather than passive input, using speech recognition and AI conversation models to simulate real interactions across structured lesson tracks, open-ended speaking practice, and grammar explanation. Its curriculum is designed around natural usage patterns rather than textbook sequences, with particular depth in English learning for Korean, Japanese, and other Asian language markets. Speak is backed by OpenAI, reflecting a strategic alignment with frontier language model development that gives the company early access to AI capabilities that power its tutoring engine.\n\nSpeak achieved a $1B unicorn valuation and $100M in revenue, making it one of the most commercially successful AI-native language learning products globally. The company raised $162M in total funding and has seen particularly strong growth in Asia, where demand for English fluency in professional contexts drives high willingness-to-pay. Speak competes with Duolingo on consumer mindshare but differentiates fundamentally by prioritizing speaking practice — the dimension of language acquisition that traditional apps have historically struggled to deliver.

Full profile

IBM

LeaderEnterprise Software

General

Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.

AI VisibilityBeta
Overall Score
A80
Category Rank
#56 of 1158
AI Consensus
67%
Trend
up
Per Platform
ChatGPT
74
Perplexity
71
Gemini
84

About

International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).

Full profile

AI Visibility Head-to-Head

62
Overall Score
80
#1
Category Rank
#56
75
AI Consensus
67
up
Trend
up
56
ChatGPT
74
63
Perplexity
71
59
Gemini
84
62
Claude
74
67
Grok
81

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