Kore.ai

What it is

Kore.ai is an enterprise platform for building, running and governing AI agents, and its largest use is the contact centre: agents that handle customer conversations on voice, chat and messaging, assist human agents live, and hand over with context when they cannot finish. The company is based in Orlando, Florida, is led by founder and CEO Raj Koneru, and says it serves 500+ Global 2000 organizations. It sells three packaged products on one platform: AI for Service (customer-facing agents and contact-centre automation), AI for Work (employee assistants and enterprise search) and AI for Process (back-office automation).

The platform was rebuilt this year. The Artemis edition of the Kore.ai Agent Platform, launched 2026-05-21, introduced three pieces. Agent Blueprint Language (ABL) is a compiled, declarative language for defining agents, which means an agent is a reviewable file that is validated before it deploys rather than a flow drawn in a canvas. Arch is an AI architect that writes ABL from a plain-language objective and refines agents using production traces. A “dual-brain” runtime runs LLM reasoning and deterministic flows side by side, so a refund or identity check can follow fixed steps while the conversation around it stays open-ended. Artemis launched on Microsoft Azure first; Kore.ai says other clouds will follow and has not dated them.

The company is independent and funded. It raised $150M led by FTV Capital in January 2024, and on 2026-01-27 announced a strategic growth investment led by AllianceBernstein Private Credit Investors, with Vistara Growth, Beedie Capital and Sweetwater Private Equity participating. The 2026 amount was not disclosed.

Why it shows up on regulated-enterprise shortlists

• Analyst coverage that procurement will accept. Gartner’s 2026 Magic Quadrant for Conversational AI Platforms, published in July 2026, named four Leaders: Google, Salesforce, SoundHound AI and Kore.ai. It is Kore.ai’s fourth consecutive Leader placement, in every edition of the report to date, and the companion Critical Capabilities report scored it highest (3.96 of 5) for enterprise-wide conversational AI agents.
• The compliance list is long. SOC 2 Type II, ISO 27001, PCI DSS, FedRAMP Moderate, HITRUST and GDPR, with HIPAA-aligned controls, PII tokenization, tenant isolation and immutable audit trails. That is the list a bank, insurer or healthcare contact centre asks for before a pilot.
• It sits in front of the contact centre you already run. Voice agents connect to Genesys, Avaya, Cisco, NICE CXone and Amazon Connect; case data comes from Salesforce Service Cloud, ServiceNow, Zendesk and SAP. There is no requirement to change CCaaS vendor.
• Deterministic steps where they matter. ABL and the dual-brain runtime let you pin authentication, payments and disclosures to fixed flows while the LLM handles the rest. For a regulated script, that is the difference between an auditable agent and a prompt you hope behaves.

Pricing reality

Kore.ai does not publish a rate card. The documented billing units are:

• Automation AI and Search AI — per 15-minute session. A 31-minute conversation is three sessions, so long voice calls cost more than their count suggests.
• Contact Center AI and Agent AI (agent assist) — per agent seat, named or concurrent.
• Add-ons — voice gateway, speech, advanced analytics and integrations billed separately.

The one public price point is the AWS Marketplace listing: a 12-month AI for Service block of 660,000 units for $6,600, or about $0.01 per unit, with a gateway block of the same size at $33,000, Enterprise Support at $40,000, a standard expert-services package at $10,000 and a 75-hour “Kore Tune-Up” services package at $50,000. Third-party reviews put mid-enterprise contracts at $75,000–$150,000 a year and full enterprise agreements from about $300,000. Budget the services line as well: reviewers most often describe a 3–6 month implementation, commonly with Kore.ai professional services or a certified partner.

Best for

CX and contact-centre leaders at regulated enterprises — banking, insurance, healthcare, telecom, public sector — running 1M+ customer interactions a year across voice and digital, who need agents that pass security review, sit on an existing Genesys, NICE or Amazon Connect deployment, and can be audited step by step. It also fits when the same buyer wants employee-facing agents (HR and IT help) on one platform.

Skip it if you are a software company resolving email and chat tickets on Zendesk or Intercom; a per-resolution agent on your help desk goes live in weeks and costs a fraction of this.

Versus the alternatives

The market-share leaders are the two platforms that sit alongside Kore.ai in the Gartner Leaders quadrant. Google’s Customer Engagement Suite is the pick for a Google Cloud shop that wants Gemini models and telephony from one vendor. Salesforce Agentforce is the pick when Service Cloud is your system of record and you want agents billed and governed inside it. Choose Kore.ai over both when your contact centre spans several CRMs and CCaaS vendors, or when you need the FedRAMP and PCI coverage with a deterministic layer the others handle less explicitly.

The fastest-growing entrant is Sierra, which raised $950M in May 2026; pick it when you want an outcome-priced, vendor-built agent for a consumer brand and do not want to own the build. Decagon is the like-for-like for digital-first support teams. For voice-only deployments, PolyAI and Parloa are narrower and faster to stand up. NiCE Cognigy, the other long-standing enterprise platform, dropped from Leader to Visionary in the 2026 report, with Gartner flagging post-acquisition roadmap risk.

If none fit, start with the AI layer of your existing help desk or CCaaS vendor on the top ten intents only, and revisit a platform once you have documented flows and an owner for them.

Watch-outs

• Session billing punishes long conversations. Every 15 minutes is a new billable session, and voice calls with holds cross that line often. Guard: model the bill on the real distribution of your handle times, not the average, and negotiate per-conversation billing or a session cap for voice.
• This is a platform you operate, not a service you buy. The most-cited complaint on G2 is the learning curve, and go-lives of 3–6 months are typical. Guard: fund a named bot-operations owner (at least one full-time conversation designer per major channel) before signing, and put partner hours and acceptance criteria into the statement of work.
• Artemis is new and Azure-first. ABL and Arch shipped in May 2026 and non-Azure availability is undated. Guard: if your security team requires AWS or GCP hosting, get the region and date in the contract; for a live deployment on the older XO platform, ask for the migration path and its cost in writing.
• Services and support are priced as line items. The AWS listing shows $40,000 for enterprise support and $10,000–$50,000 service packages on top of usage. Guard: ask for a three-year total cost including support, services and add-ons, and compare it with the per-resolution quote from a help-desk-native agent on the same volume.