Comparing Kore.ai and Posh AI? Both are AI Agents & Chatbots and Voice & Phone AI 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 | Kore.ai | Posh AI |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2014 | 2018 |
| Categories | AI Agents & Chatbots Enterprise Voice & Phone AI | AI Agents & Chatbots Voice & Phone AI |
| Integrations | Genesys Amazon Connect Salesforce ServiceNow Twilio Zendesk | Fiserv Jack Henry Symitar Corelation COCC Q2 Alkami Glia Genesys Cloud |
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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Posh AI builds an agentic AI platform for banks and credit unions, covering both sides of the desk. Member facing products include a Voice Assistant for 24/7 phone support, a Digital Assistant for web and mobile chat, Posh Answers for help center search, and Posh Translate for live spoken interpretation. Employee facing tools include a Knowledge Assistant, a training Simulator, and CoachQA for conversation quality and compliance monitoring. All agents run inside Operating Procedures, Posh's framework for pairing LLM flexibility with code level control.
Karan Kashyap and Matt McEachern founded Posh in 2018 out of MIT, where both studied AI, and the Boston company remains independent and active as of mid 2026, with no acquisition on record. It raised a $27.5 million Series A led by Canapi Ventures in December 2021, with credit union industry funds Curql Collective and CMFG Ventures participating, and third party trackers put total funding around $45 million. Posh serves more than 100 financial institutions, including VyStar Credit Union, Citadel Credit Union, Camden National Bank, and Hudson Valley Credit Union. In late 2025 it relaunched Knowledge Assistant as an AI native workspace for agentic action.
Posh publishes no pricing. Everything is quote based per institution, shaped by asset size, products licensed, and integrations. The company leads with customer ROI stories instead, like Citadel's reported $660,000 in annual savings, so treat those as marketing anchors and negotiate accordingly. Expect a demo led sales cycle and implementation work that depends on your telephony and core stack; nothing about the process is self serve.
Choose Posh if you are a community financial institution that wants credible voice and chat automation plus employee copilots from a team that only does banking, with prebuilt hooks into cores like Fiserv, Symitar, and Corelation. Skip it if you are not a bank or credit union, or if you need transparent self serve pricing.
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