Independent Research · Unvarnished Reviews
Kore.ai, Cognigy, Yellow.ai, and boost.ai are four of the most-compared enterprise conversational AI platforms, systems that power customer service, IT, and employee-facing chat and voice bots at scale. All four are credible, well-reviewed platforms recognized by Gartner and Forrester, and all four target the same buyer: enterprise CX, IT, and operations leaders evaluating conversational AI for deployment across contact centers or internal workflows.
The finding that should change how any buyer approaches this category: None of the four publishes standard enterprise pricing, every real deployment is a custom, sales-negotiated quote. But they split into two meaningfully different tiers of transparency. Kore.ai and Yellow.ai both offer a public, self-serve entry point that at least establishes a starting reference price before a deal moves to sales. Cognigy and boost.ai offer nothing public at any tier; the first number a buyer sees comes from a sales conversation, with no independently verifiable anchor beforehand.
| Platform | G2 Rating | Reviews (G2) | Note |
|---|---|---|---|
| Kore.ai | 4.6 / 5 | ~466 | Largest review base by a wide margin; enterprise-skewed (43.5%) |
| boost.ai | 4.7 / 5 | ~39 | Highest-rated of the four; enterprise-skewed (44.8%) |
| Cognigy | 4.6 / 5 | ~13 | Smallest review base; now operates as NiCE Cognigy post-acquisition |
| Yellow.ai | 4.4 / 5 | ~106 | Small-business-skewed (38.6%), a different buyer profile than the other three |
All four rate closely, within 0.3 points of each other. Review volume varies dramatically, Kore.ai's nearly 500 reviews against Cognigy's 13, worth weighing when treating any single rating as representative.
Kore.ai is mid-rebrand as of this report. On May 21, 2026, the company launched the Artemis edition of its Agent Platform, retiring the "XO Platform" branding that built its conversational AI reputation and repositioning explicitly around agentic AI, autonomous agents that build, govern, and operate across the enterprise rather than scripted conversation flows alone. Artemis launched first on Microsoft Azure, with integrations into Microsoft Foundry and Microsoft Agent 365, and independent coverage frames the move as a direct challenge to Salesforce's and ServiceNow's agentic platforms, not merely a competing chatbot builder. Buyers whose prior research predates May 2026 are likely looking at the retired XO Platform positioning rather than the current Artemis edition.
Kore.ai's developer documentation publishes a self-serve Standard plan at $0.20 per conversation, with $500 in free credits to start, a real, citable number even though the main pricing page itself shows no figures. Enterprise tiers are custom-quoted and billed per session or per seat depending on the specific product line; independent estimates place typical enterprise contracts around $300,000 per year. Kore.ai carries Gartner Magic Quadrant Leader recognition and supports 130+ languages with 400+ pre-built dialog tasks and 150+ integrations. Enterprise governance features, role-based access, audit trails, PII redaction, SOC 2 Type II, and HIPAA readiness, position it specifically for regulated industries. Reported voice latency runs higher than Cognigy's, independently cited around 800-1000ms against Cognigy's roughly 500ms, a real technical tradeoff for organizations prioritizing high-volume, low-latency voice specifically.
NiCE completed its acquisition of Cognigy for $955 million in September 2025; the platform now operates as NiCE Cognigy, integrated into NiCE's broader contact-center software portfolio. This is a real, completed ownership change, not a rumor or pending deal, and it's worth confirming current product direction and support commitments given how recently the acquisition closed.
Cognigy publishes no pricing anywhere, no free tier, no self-serve plan, every engagement requires a sales conversation from the first quote. Independent market analysis places typical enterprise packages between $115,000 and $300,000 annually depending on volume, integrations, and voice support, with additional fees layered on for gateways and AI Ops tooling separately. Cognigy's core technical strength, consistently cited across independent comparisons, is voice engineering: reported latency around 500ms, the fastest of the four, positioning it specifically for high-volume, latency-sensitive contact center voice deployments where Kore.ai's higher latency is a poor fit.
Yellow.ai is the sole platform among the four offering an actual freemium tier, 100 monthly tracked users included at no cost, letting a team test the platform before any commercial conversation. Beyond the free tier, pricing is usage-based rather than per-agent-seat: Independent sources cite enterprise plans starting around $500/month scaling with usage, while a separate source describes $0.99 per resolution as the operative unit once the free allotment is exhausted. Yellow.ai carries Gartner Magic Quadrant Leader recognition specifically in Enterprise Conversational AI and supports 135+ languages with native voice and multi-LLM architecture.
Yellow.ai's clearest positioning strength is multilingual, omnichannel deployment, particularly for organizations with customer bases in Asia, the Middle East, or Latin America, where native language support is a genuine, differentiated requirement rather than a checkbox feature. Independent reviews consistently flag two real weaknesses: analytics dashboards that have historically lagged Kore.ai's and Cognigy's, and developer documentation described as less mature than competitors.
boost.ai publishes no pricing tiers at any level, the most completely sales-gated of the four platforms in this comparison; there is no self-serve entry point, no freemium allotment, and no independently citable starting figure anywhere in public documentation. Every quote begins with a sales conversation and no external number exists to anchor expectations beforehand.
boost.ai positions specifically for regulated industries, banking and insurance in particular, with a hybrid scripted-plus-generative-AI approach that reviewers consistently praise for accessibility: user reviews highlight an intuitive, no-code interface that lets non-technical teams build and maintain conversation flows without deep NLP expertise. The tradeoffs are real and specific: no documented open standard for agent-to-tool connectivity (no confirmed MCP integration, unlike Kore.ai's and Cognigy's official MCP support), and meaningfully smaller global brand recognition than Kore.ai or NiCE Cognigy.
| Platform | Public Entry Point | Enterprise Estimate (Independent) | MCP / Agent Tooling |
|---|---|---|---|
| Kore.ai | $0.20/conversation, $500 free credits | ~$300,000/year | Yes, documented |
| Yellow.ai | Free (100 MTU), then ~$0.99/resolution | ~$500/month+ scaling with usage | Not confirmed |
| Cognigy (NiCE Cognigy) | None published | $115,000-$300,000/year | Yes, official MCP server |
| boost.ai | None published | Not independently estimated | Not confirmed |
This category doesn't support a conventional matched-volume TCO table the way most reports on this site do, since two of the four platforms publish no pricing signal at any scale to model against. The table below shows what's actually knowable before a sales conversation begins, which is itself the finding.
| Platform | Known Before Sales Contact | Requires Sales Conversation For |
|---|---|---|
| Kore.ai | Entry-tier per-conversation rate, free credit amount | Enterprise volume pricing, per-seat billing |
| Yellow.ai | Free-tier user limit, per-resolution rate | Enterprise scaling terms |
| Cognigy | Nothing published | Every price point at every tier |
| boost.ai | Nothing published | Every price point at every tier |
A buyer evaluating Kore.ai or Yellow.ai can build a rough budget range before a single sales call. A buyer evaluating Cognigy or boost.ai cannot, every cost data point in this report for those two platforms comes from independent third-party estimation, not vendor disclosure, and should be confirmed with the vendor before being used in a budget.
Choose Kore.ai if: You need enterprise-wide automation spanning customer service, IT, and HR under one platform, operate in a regulated industry requiring documented compliance features, and want at least a public reference rate before entering sales conversations.
Choose Cognigy (NiCE Cognigy) if: High-volume, low-latency voice is the core requirement, and you're comfortable evaluating a platform mid-integration into a larger acquirer's portfolio, confirming current roadmap and support commitments rather than assuming continuity.
Choose Yellow.ai if: Multilingual, omnichannel deployment is a real requirement, particularly for customer bases outside North America and Western Europe, and you want to test the platform on a real free tier before any commercial commitment.
Choose boost.ai if: You're in a regulated industry (banking, insurance) and prioritize interface accessibility for non-technical teams over the largest possible integration catalog or brand recognition, and you're comfortable with zero public pricing signal before sales contact.
Everyone: Budget extra evaluation time for Cognigy and boost.ai specifically, since neither offers a public number to anchor internal budget conversations before a vendor call. Kore.ai's and Yellow.ai's public entry points, even though neither reflects real enterprise-scale pricing, at least give a procurement team something concrete to start from.
Kore.ai, Cognigy, Yellow.ai, and boost.ai are all credible, well-reviewed conversational AI platforms, each with real technical differentiation, Kore.ai's enterprise-wide scope, Cognigy's voice-engineering depth, Yellow.ai's multilingual reach, boost.ai's accessibility for non-technical teams. The real finding this comparison surfaces isn't which platform is cheapest, none publish enough to compare on price alone, it's that this entire category runs on sales-negotiated pricing, and even within that shared opacity, Kore.ai and Yellow.ai give buyers meaningfully more to work with before the first sales call than Cognigy or boost.ai do.