Cognigy vs Kore.ai vs PolyAI is the cross-shop buyers run once they have seen every vendor's own homepage and want a neutral, vendor-on-vendor view. All three ship enterprise AI voice agents, yet they arrive from different archetypes: Cognigy as the enterprise CX-AI suite with contact-center incumbency, Kore.ai as the broader enterprise conversational-AI platform, and PolyAI as the voice-AI specialist with pre-built enterprise agents. This post scores them head-to-head on the six rows that decide the shortlist, keeps the Orbit frame out until the final section, and links the relevant migration guidance for teams considering a move.
BLUF: quick view
| Criterion | Cognigy | Kore.ai | PolyAI |
|---|---|---|---|
| Prebuilt agent coverage | Partial — prebuilt solutions and marketplace exist, but enterprise deployments are typically configured from templates rather than deployed off-the-shelf | Partial — XO Marketplace and vertical templates exist, breadth-first rather than voice-first | Yes — voice-first pre-built enterprise agents by vertical are the core product posture |
| BYO LLM posture | Yes — published LLM gateway supports OpenAI, Azure OpenAI, Anthropic, Google, and custom endpoints | Yes — supports OpenAI, Azure, Anthropic, and custom model integrations | Partial — built on proprietary conversational-AI models; BYO LLM is not the advertised posture |
| Telephony ownership | No — voice connectivity is delivered through SIP/BYOC integrations and contact-center partnerships | No — voice rides on third-party SIP providers and contact-center integrations | No — voice connectivity is delivered through carrier and SIP partners |
| Integration depth (SIP/BYOC) | Yes — SIP connector and BYOC supported | Yes — SIP and BYOC supported | Yes — SIP and BYOC supported |
| Omnichannel breadth | Yes — voice, chat, email, messaging, social, and agent-assist across the suite | Yes — broad channel support across voice, chat, email, messaging, social, and OTT | Partial — voice-first; digital and chat channels are narrower than the full-suite vendors |
| Deployment model (SaaS vs private cloud) | SaaS, private cloud, and on-premises options | SaaS, private cloud, and on-premises options | SaaS with private-cloud options for enterprise |
Each row is checked against the vendor's published product pages and documentation and is expressed as a categorical cell only — no fabricated pricing, seat counts, or market-share figures. Where a capability exists but is not the primary posture, the cell reads Partial rather than Yes.
1. The archetype distinction: suite, platform, and voice specialist
Cognigy reads as the enterprise CX-AI suite. Its positioning centers on voice and chat agents, agent-assist, and a contact-center integration layer sold to large enterprises that already run contact-center infrastructure. The product assumes an integration posture: the agent platform sits on top of Genesys, Avaya, Salesforce Service Cloud, or another CCaaS incumbent. Strength is the breadth of the agent surface inside an enterprise procurement motion.
Kore.ai reads as the broader enterprise conversational-AI platform. Its XO Platform covers virtual assistants, agent-assist, contact-center AI, and an industry-solution marketplace, with use cases that stretch beyond the contact center into IT, HR, and banking operations. Strength is horizontal reach: the same assistant layer applied to employee and customer contexts.
PolyAI reads as the voice-AI specialist. Its positioning is narrower and deeper: lifelike, pre-built voice assistants for customer-service verticals, deployed quickly against existing telephony. Strength is voice quality and speed-to-deploy for a known set of voice-first use cases, not horizontal breadth.
The honest frame is that all three are genuine AI voice-agent vendors, but the buyer is not choosing between a strong and a weak entrant. The buyer is choosing which shape of agent program fits the organization: an enterprise suite that integrates existing contact centers, a broad conversational-AI platform, or a voice specialist with pre-built agents.
2. Where the six scoring rows diverge
Prebuilt agent coverage
PolyAI is the only one of the three whose go-to-market is explicitly pre-built voice agents for named verticals. Cognigy and Kore.ai both market prebuilt solutions, templates, and marketplaces, yet the typical enterprise sale still lands as a configured deployment rather than an off-the-shelf agent. So PolyAI marks Yes; the other two mark Partial.
BYO LLM posture
Cognigy and Kore.ai both publish explicit BYO-LLM flexibility: an LLM gateway that lets the tenant bring OpenAI, Azure OpenAI, Anthropic, Google, or a custom endpoint. PolyAI's public posture is built on its own proprietary conversational-AI models and voice stack; BYO LLM is not the marketed default. So PolyAI marks Partial.
Telephony ownership
None of the three owns its wholesale voice network. Cognigy integrates into existing contact-center telephony. Kore.ai connects via SIP to contact-center and carrier partners. PolyAI connects via SIP/BYOC to carrier partners. All three mark No on ownership, and all three mark Yes on SIP/BYOC integration depth.
Omnichannel breadth
Cognigy and Kore.ai both ship broad omnichannel surfaces: voice, web chat, email, SMS, WhatsApp, social DMs, and agent-assist. PolyAI is voice-first; while it can hand off to chat or digital channels, the public product surface is narrower. PolyAI marks Partial on omnichannel breadth.
Deployment model
Cognigy and Kore.ai both offer SaaS, private-cloud, and on-premises deployment options, reflecting their enterprise IT sales motion. PolyAI leads with SaaS and offers private cloud for enterprise requirements. The difference matters for buyers with strict data-residency or air-gapped requirements.
3. Sourcing the rows
The cells above are drawn from each vendor's public product and documentation pages: Cognigy's product pages for voice and chat agents, agent-assist, SIP connector, LLM gateway, and deployment options; Kore.ai's XO Platform, contact-center AI, LLM integrations, and deployment pages; and PolyAI's product pages for pre-built voice assistants, telephony integration, and deployment models. Claims are categorical only; no client counts, revenue figures, or pricing are cited because those are not publicly verifiable in a comparable form.
4. Devotel Orbit frame-in: clearly labeled
Orbit publishes disclosed-position head-to-head pages against each vendor — Orbit vs Cognigy, Orbit vs Kore.ai, and Orbit vs PolyAI — and ranks itself first on those pages by design, because they argue the Orbit position rather than a neutral one. With the frame disclosed, three questions sort most Cognigy-vs-Kore.ai-vs-PolyAI shortlists:
- Is the requirement an agent platform that integrates existing contact-center and channel vendors, or a consolidated platform where the agent, contact center, and channels share one account? Cognigy, Kore.ai, and PolyAI all deploy as agent layers on top of other infrastructure. Devotel Orbit ships the agent, the human-and-AI contact center, and the programmable channels — voice, SMS/MMS, RCS, WhatsApp, email, and video — on one self-serve, pay-as-you-go account with pricing published on the website.
- Is the deployment model an enterprise licence and professional-services rollout, or self-serve signup with usage billing? All three vendors route enterprise buyers through a sales conversation and a configured deployment. Orbit offers self-serve signup and per-message usage billing. A team whose procurement posture requires the enterprise sales cycle should shortlist among the three neutrally; a team that needs self-serve, consolidated billing should read the Orbit comparison pages.
- Is the priority pre-built vertical agents, BYO LLM, or a broad conversational-AI platform? PolyAI wins the pre-built voice-agent row, Cognigy and Kore.ai win the BYO-LLM row, and Kore.ai wins horizontal breadth. Orbit's positioning is platform-core AI agents with a published latency budget, tenant-owned LLM selection, and the channels and contact center on the same account — a different frame, not a claim that any of the three is categorically weaker at its specialty.
The neutral verdict stands: Cognigy vs Kore.ai vs PolyAI is a choice between three archetypes of enterprise AI voice agent — the CX suite integrator, the broad conversational-AI platform, and the voice-first specialist — not a choice between a capable and an incapable vendor.
5. Migration signal
There is no migrate-from-Cognigy, migrate-from-Kore.ai, or migrate-from-PolyAI runbook in the current content set. The closest analogue for moving from an enterprise CCaaS or agent platform to Orbit is the migrate from Genesys to Orbit runbook, which covers the same platform-cutoff pattern: export conversation or call history, map customers to Orbit profiles, re-point agent flows onto Orbit AI agents, consolidate channels onto one account, and configure tenant-owned consent, quiet-hours, and retention controls before go-live.
Frequently asked questions
Which vendor has the strongest prebuilt voice agents?
PolyAI is the most explicitly pre-built-voice-agent-first of the three. Cognigy and Kore.ai both offer templates and marketplaces, but their enterprise deployments are usually configured rather than deployed off-the-shelf.
Which one is best for BYO LLM?
Cognigy and Kore.ai both publish explicit BYO-LLM gateways supporting multiple model providers and custom endpoints. PolyAI's public posture centers on proprietary models, so BYO LLM is not its marketed strength.
Do any of them own their own voice network?
No. All three deliver voice through SIP/BYOC integrations and carrier or contact-center partnerships. If owning the wholesale voice network is a requirement, none of the three satisfies it.
Which has the broadest omnichannel coverage?
Cognigy and Kore.ai both ship broad omnichannel support across voice, chat, email, messaging, and social. PolyAI is voice-first, with narrower digital-channel coverage.
How do deployment models compare?
Cognigy and Kore.ai offer SaaS, private-cloud, and on-premises options. PolyAI leads with SaaS and offers private cloud for enterprise requirements.
Where does Devotel Orbit fit in this comparison?
Orbit is the consolidation option: AI voice agents, a human-and-AI contact center, native channels, a customer data platform, and usage billing on one self-serve account. It is not a direct replacement for the specialist posture of any of the three, but it is the alternative when the agent layer and the platform underneath it should be the same account.
Published 5 October 2026.