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Ops EfficiencyEstablished · 10 yrs on market

Kore.ai

Enterprise agentic AI platform for customer experience, employee productivity and governed AI agents

By Kore.ai · HQ San Mateo, US · 4.0/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Enterprises deploying AI agents for customer service, voice and digital contact centers
  • HR, IT service desk and recruiting teams automating routine employee inquiries
  • Regulated organizations in banking, healthcare and retail that need governed AI with private-cloud or on-premises deployment
  • Buyers who want pre-built industry solutions and are willing to work on quote-based enterprise contracts

Ideal size: 1,000+ employees people · Enterprise with a centralized AI/automation program and a formal security review

Not for

  • Small businesses looking for a low-cost, self-serve chatbot with published pricing
  • Teams that need a general workflow/BPMS tool with no AI agent ambitions
  • Companies wanting core systems of record such as EHR, POS or core banking

Value metrics scorecard

Time-to-Value

2-4 weeks with pre-built apps

~30 days to first production value

Total Cost of Ownership

On request

Custom enterprise pricing; no public price list or self-serve checkout on the vendor site

Implementation Friction

3/5

Engineering + admin effort required

Value-Position score

4.0

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published

Add-on costs

  • None

Company & support

Who is behind Kore.ai, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
San Mateo, US

How you get support

  • PhonePlan not stated
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsPlan not stated
  • Community forumPlan not stated
  • Help centre / docsPlan not stated
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Support page lists toll-free support lines for the US (+1 844 924 8973), UK and India, a customer support login, product documentation, the Kore.ai Academy and a user forum.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Kore.ai sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr29d33d38d42d46dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyKore.aiMambuNamelyGoodDataAiseraNayya

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

Kore.ai is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Kore.ai
  • Mambu
  • Namely
  • GoodData
  • Aisera
  • Nayya
Add or change companies

Up to 10 companies including Kore.ai. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNative

Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What Kore.ai ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Copilot / assistantAgentic workflowsAI searchAI governance tooling

Vendor describes AI agents and agentic workflows for CX and EX, agent assistance, enterprise search, and an AI security and governance program covering transparency, bias/hallucination testing and model security. No model provider or AI billing detail is stated.

Your data & models

Trains on your data
Never trains on your data
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Official MCP server
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 ISO 27001 GDPR HIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Kore.ai is an enterprise agentic AI platform (Artemis) for building, deploying and governing AI agents across customer experience and employee productivity. Pre-built solutions cover banking, healthcare, retail, HR, IT service desk and recruiting, with voice and digital agents, agent assistance and enterprise search. Deployment spans multi-tenant SaaS, dedicated VPC and on-premises. Its Trust Center lists SOC 2 Type 2, ISO/IEC 27001:2022, PCI DSS and GDPR, and its privacy policy says customer data is not used to train generalized models. Pricing is quote-based.

Frequently asked questions

What does Kore.ai actually do?

Kore.ai sells an enterprise agentic AI platform, Artemis, for building, deploying and governing AI agents. It is used for customer experience (voice and digital agents, agent assistance, contact-center automation) and employee productivity (HR, IT service desk, recruiting and enterprise search), with pre-built solutions for industries such as banking, healthcare and retail.

How is Kore.ai priced, and is there a free tier?

No pricing is published on the vendor site. There is no public price list, self-serve checkout or free tier described, so buyers should expect a quote-based enterprise contract. Budget for platform subscription plus any implementation and deployment work; neither an implementation fee nor a per-seat tier is stated publicly.

What compliance certifications does Kore.ai hold?

The Kore.ai Trust Center lists SOC 2 Type 2, PCI DSS, ISO/IEC 27001:2022, GDPR, CCPA and EU AI Act alignment. HIPAA, FedRAMP, ISO 42001 and CMMC are not listed, so healthcare and government buyers should confirm those requirements directly with the vendor before committing.

Does Kore.ai train AI models on our data?

No. The Kore.ai privacy policy states that Kore.ai does not use customer data for internal training, knowledge-base updates, internal product enhancements, or to train generalized AI models offered as part of the services. Buyers should still validate data handling terms in the contract.

How long does deployment take, and can it run on-premises?

Kore.ai markets pre-built, industry-ready applications with fast time-to-value, so pilot value typically arrives in weeks rather than quarters. Deployment options include multi-tenant SaaS, a dedicated single-tenant VPC and on-premises, which lengthens setup for regulated buyers. No implementation fee or partner requirement is published.