Kore.ai
by Kore.ai · Orlando, USA · Founded 2014
Enterprise agent platform with deep controls
Overview
Kore.ai is a platform rather than a product: you build agents on it across customer service, employee support and agent assist, with fine-grained control over dialogue, orchestration, model selection and governance. That suits large enterprises with internal development capacity and requirements no packaged product satisfies — particularly in banking and healthcare, where it has deep references. It supports on-premise deployment and bring-your-own-model. The cost is effort: this is a build platform requiring skilled people, and organisations expecting a turnkey agent consistently underestimate the implementation.
Our verdict
A serious enterprise build platform, not a product — the right answer when no packaged agent meets your requirements and you have engineers to build with. On-premise support and NVIDIA backing make it credible for banking and healthcare. Do not buy it expecting turnkey.
Best for
Large regulated enterprises with engineering capacity and requirements no packaged product meets.
Avoid if
You want a working agent in days without a development project.
Pros
- On-premise and hybrid deployment for regulated industries
- Deep governance, testing and version control tooling
- Strong banking, healthcare and telecom references
Cons
- Requires engineering resource and months to deploy
- Substantially more complex than packaged agents
- No published pricing, setup fees typical
Key capabilities
Frequently asked questions
Is Kore.ai a product or a platform?
A platform. You build agents on it rather than configuring a packaged product, which gives extensive control but requires engineering resource and a deployment measured in months.
Does Kore.ai support on-premise deployment?
Yes, along with hybrid, which is why banks, healthcare organisations and telecoms shortlist it over SaaS-only vendors like Sierra or Decagon.
How much does Kore.ai cost?
Kore.ai does not publish pricing. Enterprise licensing is scoped by interaction volume and deployed use cases, typically $60,000 to $500,000 per year plus implementation.