Comparing Decagon and Kore.ai? Both are AI Agents & Chatbots and Enterprise tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Decagon | Kore.ai |
|---|---|---|
| Pricing | Per resolution · Custom | Paid · Custom |
| Founded | 2023 | 2014 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | Zendesk Salesforce Intercom Shopify Stripe Kustomer | Genesys Amazon Connect Salesforce ServiceNow Twilio Zendesk |
Decagon builds what it calls an AI concierge: autonomous agents that resolve customer issues across chat, email, voice, and SMS, all sharing one brain and one memory of your customer. Instead of trapping your logic in brittle decision trees, Decagon uses Agent Operating Procedures, plain-language playbooks that describe how you want issues handled. Its voice agents answer with sub-second latency, handle interruptions gracefully, and can dial out as well as pick up, which makes them feel far closer to a competent human than to a phone tree.
The company's rise has been ridiculous in the best possible way. Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, alumni of Google, Palantir, Citadel, and Scale AI, Decagon went from a standing start to a multi-billion-dollar valuation in roughly two and a half years, with its worth reportedly tripling in a single seven-month stretch as investors piled in. The name itself is a quiet math joke, nodding to the ten-sided polygon.
What keeps the logos coming is deployment quality. Decagon leans into white-glove onboarding, exposes full conversation logs so teams can audit and improve every answer, and routes genuinely hard cases to humans cleanly rather than bluffing. Its customer roster reads like a tour of the modern internet: Notion, Duolingo, Rippling, Eventbrite, Substack, Chime, and Affirm among them, plus larger enterprises adopting its outbound and proactive agents.
Pricing is sales-led and usage-based, offered per conversation or per resolution with volume discounts, so it is squarely an enterprise purchase rather than a quick self-serve signup you try on a whim. For teams that want an AI agent that feels concierge-grade, keeps a persistent memory of each customer, and can be tuned in the plain language a support manager actually speaks day to day, Decagon has become one of the most talked-about names in the category.
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Kore.ai is an enterprise platform for building and orchestrating AI agents, with customer experience as one of its flagship uses. Teams design agents using no-code visual tools or pro-code SDKs, deploy them across web chat, messaging, voice, and contact-center channels, and manage them with the security and analytics a large organization demands. Its agentic contact-center suite spans intelligent self-service, AI-powered routing, and real-time agent assist, and a growing set of prebuilt vertical apps for banking, healthcare, retail, HR, and IT gives buyers a running start instead of a blank canvas.
The scale here is the headline. Kore.ai says its platform automates more than a billion interactions a year and has delivered over a billion dollars in cumulative customer cost savings, and it has been named a leader in independent analyst evaluations of conversational AI and cognitive search. Its newer generative application platform, GALE, and an AI-first agent platform push the product deeper into the agentic era.
There is a nice against-the-grain story to the company, too. Kore.ai was founded in 2014 by serial entrepreneur Raj Koneru, whose resume includes four earlier companies, and it grew up not in Silicon Valley but in Orlando, Florida, only later opening a West Coast office. It has raised well over four hundred million dollars across its rounds, including a 2026 growth investment, and became a launch partner for Microsoft's agent ecosystem while earning agentic credentials with AWS.
Big names like AT&T, Coca-Cola, and Airbus are among the hundreds of Global 2000 enterprises it serves, and pricing is entirely custom, scaled to the sessions, seats, and add-ons a given deployment needs. For large organizations that want a single, proven platform to build and run both customer-facing and employee-facing agents across every channel, without stitching together half a dozen point tools, Kore.ai is a serious heavyweight worth putting on the shortlist and taking for a proper test drive.
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