Trace vs IBM

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

IBM leads in AI visibility (80 vs 21)

Trace

EmergingFintech

General

AI voice agent platform automating fintech customer support with instant resolution; YC-backed by ex-Stanford/Berkeley researchers and Goldman quant CTO competing with Sierra and Cognigy.

AI VisibilityBeta
Overall Score
D21
Category Rank
#426 of 1158
AI Consensus
61%
Trend
up
Per Platform
ChatGPT
13
Perplexity
26
Gemini
26

About

Trace is an AI voice agent platform for automating customer support at fintech companies — deploying AI phone agents that handle inbound customer calls with instant resolution, zero hold times, and human-level comprehension for high-stakes financial support conversations. Founded by ex-Stanford and UC Berkeley researchers with backgrounds in AI safety and high-frequency trading (Saner, CEO, built an AI copilot for UCSF cardiothoracic surgeons; Yash, CTO, was a quant researcher at Optiver and Goldman Sachs), Trace is backed by Y Combinator and targets the financial services industry where customer support quality directly affects regulatory compliance and customer trust.

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

21
Overall Score
80
#426
Category Rank
#56
61
AI Consensus
67
up
Trend
up
13
ChatGPT
74
26
Perplexity
71
26
Gemini
84
15
Claude
74
15
Grok
81

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