B2B SaaS Provider
CallMiner vs Decagon
Structured technology and market comparison · 2026
Direct Feature Comparison
CallMiner · vs · DecagonEnterprise conversation intelligence and customer-experience automation SaaS platform.
Enterprise AI agents for omnichannel customer service automation.
Analyze all overlapping signals and tech stacks for CallMiner and Decagon
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Comparison Analysis
What is the main difference between CallMiner and Decagon?
When comparing CallMiner and Decagon, both platforms operate within the Conversational AI & Chatbots, Email & Newsletter, and B2B SaaS Provider ecosystem. CallMiner is positioned as Enterprise conversation intelligence and customer-experience automation SaaS platform, whereas Decagon focuses on Enterprise AI agents for omnichannel customer service automation. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to CallMiner and Decagon?
When evaluating CallMiner and Decagon, enterprise buyers also consider other platforms in Conversational AI & Chatbots, Email & Newsletter, and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of CallMiner and Decagon compare?
CallMiner is headquartered in United States (founded in 2002) with 201–500 employees. Decagon is based in United States (founded in 2023) with 501–1,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: CallMiner vs Decagon
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
CallMiner
Recent Signals
- ·https://martechseries.com/feed/Customer Experience / Analytics
CallMiner Named Strong Performer in Forrester Wave Report
CallMiner, a provider of customer experience (CX) automation powered by conversation intelligence, announced it has been named a Strong Performer in the Forrester Wave: Customer Feedback Management and Analytics Solutions, Q3 2026. In its first inclusion in this report, CallMiner received the highest possible scores in eight criteria, including Vision, AI, Topic Modeling, Natural Language Understanding, Conversation Intelligence, Analytics, Specialization, and Data Masking. The report highlights CallMiner's AI-native vision and its depth in conversation intelligence, pairing text mining with advanced AI. CallMiner aims to help organizations turn customer conversations into actionable intelligence, improving frontline performance and customer outcomes through both human and automated actions. The recognition reflects growing pressure on enterprises to translate AI capabilities into measurable CX value.
- CallMiner was named a Strong Performer in The Forrester Wave: Customer Feedback Management and Analytics Solutions, Q3 2026.
- CallMiner received the highest possible scores in eight criteria, including Vision, AI, and Natural Language Understanding.
- This is CallMiner's first appearance in a Forrester Wave focused on customer feedback management and analytics.
Decagon
Recent Signals
- ·NewcomerConversational AI & Chatbots
Decagon Hits $100M ARR, Rejects Forward-Deployed Engineers
Decagon, an AI customer service startup led by CEO Jesse Zhang, told the reporter it has crossed $100 million in annualized revenue. The three-year-old company differentiates itself by avoiding reliance on forward deployed engineers (FDEs), arguing that a product that’s quick to customize and requires minimal services wins enterprise customers. The article positions Decagon against larger competitors — named Sierra (with CEO Bret Taylor) and Salesforce — noting Sierra has surpassed $200M ARR and Salesforce’s Agentforce exceeded $1B ARR and that Salesforce agreed to buy Fin (formerly Intercom) for $3.6B. Decagon’s investors include Bain Capital Ventures, Accel, and a16z.
- Decagon has crossed $100 million in annualized revenue, according to the company.
- Decagon positions itself against reliance on forward deployed engineers (FDEs), promoting a low‑touch, fast-to-customize product.
- Sierra is described as having well-surpassed $200 million in annualized revenue and three times the funding of Decagon, with Bret Taylor named as its CEO in the article.
Compare their exact ecosystem overlaps.
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