I tested the top 7 Kore.ai alternatives in 2025: Here's my unfiltered review

Kenneth Pangan
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Kenneth Pangan

Katelin Teen
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Katelin Teen

Last edited November 11, 2025

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If you’ve been looking into AI for your business, you've almost certainly run into Kore.ai. It’s a big name in conversational AI, and for good reason. Analysts like Gartner often put it at the top of their lists, and on paper, its all-in-one platform seems to have everything you could ever need.

But when you talk to teams who’ve actually gone through the setup process, you start to hear a different story. The reality often involves deployment cycles that drag on for months, upfront costs that can easily hit six figures, and a learning curve so steep that only developers can really use it.

I wanted to see if there was a better way. So, I rolled up my sleeves and went hands-on with the top Kore.ai alternatives. My mission was to find tools that prioritize speed, ease of use, and straightforward pricing. I was looking for platforms that help you get value from AI quickly, without all the enterprise-level headaches.

Understanding conversational AI platforms

Before we jump into the comparisons, let's get on the same page. Conversational AI platforms are tools that use AI agents (think smart chatbots) to automate conversations with customers and employees. You can think of them as a new, much smarter frontline for your business.

They typically handle things like customer service questions, IT help desk tickets, and internal Q&A. To pull this off, they connect to your company’s knowledge sources (like help articles and past support tickets) and business tools (like your CRM) to give accurate answers and even complete tasks on their own.

My criteria for the best Kore.ai alternatives

A great tool is about more than a long list of features. The platforms that really impressed me were the ones that solve actual business problems without creating a bunch of new ones. To keep my comparison fair and focused, I measured every platform against these five points:

  1. Speed to value: How fast can you go from signing up to having a live AI agent that’s actually helping? I was looking for platforms that don't need months of professional services just to get started.

  2. Ease of use & control: Can non-technical people on your team, like support managers, build, tweak, and manage the AI? Or is it a tool built only for developers?

  3. Knowledge & system integration: How well does it plug into the tools you already use every day? I’m talking about your helpdesk, chat tools like Slack, and knowledge bases like Confluence or Google Docs. A tool that makes you completely change your workflow is a tough sell.

  4. Testing & deployment safety: Does the platform give you a way to test performance and roll out changes confidently? The last thing anyone wants is a rogue AI giving customers a bad experience.

  5. Pricing transparency & fairness: Is the pricing easy to understand and predictable? I gave extra points to platforms that don't hit you with surprise fees just for having a busy month.

A quick comparison of the top Kore.ai alternatives

For those who just want the bottom line, here’s a quick look at how the top platforms I tested stack up.

ToolBest ForGo-Live SpeedStandout FeaturePricing Model
eesel AIRadically fast, self-serve setupMinutes to hoursRisk-free historical ticket simulationTransparent SaaS
CognigyEnterprise contact center automation2-4 monthsLow-code visual flow editorCustom Enterprise
RasaFull developer control & customizationMonthsOpen-source, flexible frameworkOpen-Source & Enterprise
ReplicantVoice-first customer service30-60 daysHuman-like voice conversationsCustom Flat-Rate
Synthflow AINo-code voice agent building~3 weeksDrag-and-drop voice flow designerTransparent Usage-Based
InbentaMultilingual support & knowledge mgmtWeeks to monthsPatented NLP & Composite AIConsumption-Based
IBM watsonx AssistantCompanies invested in the IBM ecosystemWeeks to monthsStrong NLP capabilitiesTiered SaaS

A deep dive into the 7 best Kore.ai alternatives

Alright, let's get into the nitty-gritty. Here’s my unfiltered take on the seven best Kore.ai alternatives based on my hands-on experience.

1. eesel AI

eesel AI is designed for teams that want serious AI automation without the usual enterprise baggage. It doesn't ask you to replace your helpdesk, and you can get it working in minutes, not months. What hit me right away was its refreshingly simple, do-it-yourself approach.

It neatly sidesteps the biggest headaches I have with Kore.ai and other legacy platforms.

  • Go live in minutes, not months: I didn't have to sit through mandatory sales demos or long onboarding calls. I connected a Zendesk account with one click and had a working AI Copilot suggesting replies in less than five minutes. It’s a world away from the typical enterprise sales slog.

  • Test with confidence: The simulation mode is what really sets it apart. It lets you test your AI on thousands of your own past support tickets. You can see exactly how it will perform, what it will say, and what your ROI will be before you ever flip the switch for live customers. This feature alone takes so much of the guesswork out of launching a new AI tool.

  • Unify all your knowledge: It automatically learns from your old tickets, help center articles, and internal documents from places like Confluence or Google Docs. That means the answers are tailored to your business from day one, instead of being generic, out-of-the-box responses.

Pros:

  • You can genuinely get started in minutes on your own.

  • The simulation on historical data is incredibly useful and unique.

  • Pricing is clear and predictable, with no per-resolution fees.

  • It fits right into your current workflow without needing a total overhaul.

  • It can automatically create a knowledge base from your best support ticket resolutions.

Cons:

  • It's less focused on deep developer customization compared to a framework like Rasa.

  • It’s built for support, IT service management, and internal knowledge use cases, not as a general-purpose AI development platform.

Pricing:

eesel AI’s pricing is refreshingly simple. Plans are based on features and how much you use them, and you can start with a monthly plan you can cancel anytime.

  • Team Plan: $299/month ($239/month if billed annually) for up to 1,000 AI interactions.

  • Business Plan: $799/month ($639/month if billed annually) for up to 3,000 AI interactions, unlimited bots, and advanced features like training on past tickets and AI Actions.

  • Custom Plan: For unlimited interactions and other enterprise needs.

2. Cognigy

Cognigy is a direct competitor to Kore.ai in the enterprise space. It’s a powerful, low-code platform for building complex voice and chat automation for huge contact centers. This is a heavy-duty tool for major automation projects.

It’s a solid choice for companies that need deep customization and are ready to invest the time and money in a long-term implementation. The visual flow editor is pretty intuitive for mapping out complex conversation logic.

Pros:

  • Offers an on-premise option if you need to keep all your data in-house.

  • Has extensive integrations with other enterprise systems.

  • Its voice features are strong and clearly designed for call centers.

Cons:

  • It runs into the same issues as Kore.ai: deployment often takes 2-4 months, the upfront costs are high, and some users have mentioned voice lag that can make conversations feel a bit stilted.

  • The pricing isn't public, so you have to go through their sales team to get a number.

Pricing:

Cognigy doesn’t list its pricing online. You'll need to contact sales for a custom quote, but you can expect it to be in the low-six-figures annually, much like Kore.ai.

3. Rasa

Rasa is on the complete other end of the spectrum. It's the top open-source framework for conversational AI, which means you aren't locked into one company's proprietary system. It gives developer teams total control over their data, models, and infrastructure.

This is the go-to for companies with a strong in-house AI and development team that wants to build a completely custom AI agent from the ground up.

Pros:

  • You have the flexibility to build pretty much anything you can think of.

  • You have full control over your data since you can host it wherever you want.

  • There's an active and helpful community of developers to lean on.

Cons:

  • You absolutely need significant technical expertise to build, deploy, and maintain it. This is not a tool for non-technical folks.

  • The learning curve is steep, and you'll be measuring your time-to-value in months.

Pricing:

The basic Rasa open-source framework is free. For enterprise features, Rasa Pro offers more tools, security, and dedicated support. The Growth plan starts at $35,000 per year, with custom pricing for larger deployments.

4. Replicant

Replicant is a very specialized tool built from the ground up to automate customer service over the phone. It’s designed to handle full, natural-sounding conversations, not just navigate a simple phone menu.

I included it because it's a great example of a solution for companies where the phone is still the most important support channel. If your call center is the heart of your customer service, Replicant is worth checking out.

Pros:

  • Deployment is impressively fast for a voice tool (they say 30-60 days).

  • It can handle complex calls with multiple back-and-forths.

  • They provide managed services to help design and tune your call flows.

Cons:

  • It's an enterprise-focused tool with a price tag to match.

  • It’s less flexible if your needs are mostly text-based or for internal support.

Pricing:

Replicant doesn’t list pricing on its site. They offer custom pricing based on your call volume and complexity, but they do have flat-rate options to make budgeting easier. You’ll need to talk to their sales team for a quote.

5. Synthflow AI

Synthflow AI is part of a new wave of user-friendly AI tools. It’s a voice-first platform that makes building an AI agent surprisingly accessible with a no-code, drag-and-drop interface.

It’s a great example of how modern tools are making AI available to more people. You don’t need to be a developer to build a capable voice agent anymore, and you don’t need a massive budget to get going.

Pros:

  • Very fast to get up and running; most projects go live in about 3 weeks.

  • Transparent, usage-based pricing that is easy to understand.

  • Low voice latency helps conversations feel more natural and less robotic.

Cons:

  • As a newer player, it’s missing some of the deep enterprise features and compliance certifications (like ISO 27001) that you'd get from more established platforms.

Pricing:

Synthflow's pricing is based on usage and scales as you grow.

  • Pro Plan: $375/month (billed annually) for 2,000 minutes.

  • Growth Plan: $750/month (billed annually) for 4,000 minutes.

  • Enterprise Plan: Offers custom, volume-based pricing as low as $0.08 per minute.

6. Inbenta

Inbenta has been in the AI game for a while, and its main strength is its proprietary "Composite AI" technology. It combines different AI models to provide accurate self-service in more than 100 languages.

This is a fantastic option for global companies that need to support a diverse, international customer base without the headache of building and training a separate bot for every single language.

Pros:

  • Excellent and accurate language support right out of the box.

  • A long history with proven results for its customers.

  • Strong knowledge management features to power its AI.

Cons:

  • Its pre-built solutions can feel a bit rigid and offer less fine-tuned control compared to platforms like eesel AI, which let you customize workflows from the start.

Pricing:

Inbenta uses a consumption-based model, which means you only pay for what you use. While that sounds great, they don't provide public rates, so you'll have to contact them for a custom quote. This can make it tricky to forecast your costs without a sales call.

7. IBM watsonx Assistant

As the big enterprise AI offering from IBM, watsonx Assistant is known for its powerful natural language processing (NLP) and its deep integration with other IBM products.

For large corporations already heavily invested in IBM's cloud and software ecosystem, this is often the default choice.

Pros:

  • Strong brand reputation and enterprise-level reliability.

  • Advanced AI and NLP backed by years of IBM research.

  • Deeply integrated with the broader IBM ecosystem.

Cons:

  • It can get very expensive, and the pricing model isn't always straightforward.

  • Setup is often complex and may require specialized consultants.

  • It offers limited flexibility for businesses that aren't already using other IBM tools.

Pricing:

IBM's pricing is tiered and can be a bit complicated. While the related "watsonx Orchestrate" platform starts at $500/month, pricing for "watsonx Assistant" is based on Monthly Active Users (MAUs). The Plus plan starts at $140/month for the first 1,000 users, with extra costs for more users and voice add-ons. At an enterprise scale, these costs can climb quickly.

How to choose the right alternative for you

After digging into all these tools, it's clear there’s no single "best" platform. The right one really depends on your team’s needs, resources, and priorities. But you can find the right fit by asking yourself a few simple questions.

Here’s a quick guide to help you decide:

  • You need maximum speed and ease of use: If you want to get started today without talking to a sales rep or hiring developers, a self-serve platform like eesel AI is your best bet. Its ability to get you up and running in minutes is hard to beat.

  • You need maximum developer control: If you have an in-house AI team and want to build everything from scratch with total control over the code and data, then Rasa is the clear winner.

  • You run a large, voice-heavy contact center: If you have a substantial budget and your main goal is automating phone calls, specialized platforms like Replicant or Cognigy are built specifically for that challenge.

The most important thing you can do is test a tool before you commit. Any platform that offers a free trial or, even better, a solid simulation environment like eesel AI's, is giving you a golden opportunity to make the right choice without the risk.

This video explores some of the best alternatives to Bing Copilot, including enterprise-focused platforms like Kore.ai and IBM's watsonx Assistant.

Why Kore.ai alternatives let you stop waiting and start automating

Kore.ai certainly offers a deep set of features, but its complexity, high cost, and slow rollout are tough pills to swallow. And thankfully, they're no longer the price you have to pay for powerful AI.

Today's AI tools are faster, more flexible, and more transparent. You don't need a massive budget or a dedicated dev team to start automating your support and making your customers happier.

That’s where eesel AI really shines. You can sign up, connect your data, and see actual results in minutes. The simulation feature lets you prove the value completely risk-free, and the straightforward pricing means no surprise bills. It’s AI automation, finally made simple.

Ready to see how easy AI can be? Start your free trial with eesel AI today or book a quick, no-pressure demo to see how you can get your support automated in minutes.

Frequently asked questions

Many companies look into Kore.ai alternatives because Kore.ai can be complex, costly, and have lengthy deployment times. Alternatives often offer faster setup, more transparent pricing, and greater ease of use, allowing you to achieve value from AI much quicker.

The primary advantages of Kore.ai alternatives typically include a faster speed to value, often measured in weeks or even minutes, rather than months. They also tend to be more user-friendly for non-technical teams and offer clearer, more predictable pricing models.

The speed to go live varies significantly among Kore.ai alternatives. While some enterprise solutions may take a few weeks or months, platforms like eesel AI can have you up and running and seeing results in minutes to hours by connecting to your existing knowledge sources.

Yes, many Kore.ai alternatives are specifically designed with non-technical users in mind, featuring intuitive interfaces and low-code or no-code development environments. This contrasts with Kore.ai, which often requires significant developer expertise.

Generally, yes. Many Kore.ai alternatives offer more transparent and predictable pricing, often with tiered SaaS plans or usage-based models, which can be more budget-friendly than the custom, high upfront costs associated with Kore.ai.

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Kenneth Pangan

Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.