How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Key takeaways
- Kore.ai is a broad enterprise platform, and most buyers replace it with a narrower tool that fits one channel or one team better.
- Google and Amazon sell usage-based conversational AI, while Cognigy, Yellow.ai, and Ada sell managed enterprise platforms with custom quotes.
- Rasa is the pick for teams that want full control over code, models, and hosting, at the cost of more engineering work.
- Voice-heavy contact centers should shortlist Cognigy and Voiceflow first, since both treat voice as a first-class channel rather than an add-on.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 NiCE Cognigy | Enterprise contact centers | See website | No |
 Yellow.ai | Omnichannel support at scale | See website | No |
 Google CX Agent Studio | Google Cloud teams | $0.50 per session | Free trial |
 Amazon Lex | AWS-based voice and chat bots | Pay as you go | Yes |
 Rasa | Developer-led, self-hosted agents | See website | Yes |
 IBM watsonx Orchestrate | Regulated enterprises | See website | No |
 Voiceflow | CX teams building agents fast | See website | Free trial |
 Ada | Automated support resolution | See website | No |
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The best Kore.ai alternatives
#1NiCE Cognigy
Best for: Enterprise contact centers4.6/5 on
G2 (13 reviews, checked Oct 2026)
Visit cognigy.com
Starting priceSee website
Free planNo
Cognigy, now part of NiCE, is the closest like-for-like replacement for Kore.ai in a large contact center. It builds AI agents for voice, chat, and messaging, adds a copilot for human agents, and reports billions of interactions processed each year. The platform mixes agentic behavior with deterministic flows, which matters when a refund or a booking change must follow an exact process rather than improvise.
The trade-off is scale and cost. Cognigy is built for organizations with serious volume, and pricing is quoted rather than published. Smaller teams may find the platform more than they need. For a contact center that runs voice and chat together and needs governance, audit history, and traceability on every interaction, it is one of the strongest options on this list.
What we like- Voice, chat, and messaging in one platform
- 100+ languages out of the box
- 110+ prebuilt integrations
Watch out for- Enterprise pricing with no public plan
- Implementation is heavier than self-serve tools
#2Yellow.ai
Best for: Omnichannel support at scale4.4/5 on
G2 (107 reviews, checked Oct 2026)
Visit yellow.ai
Starting priceSee website
Free planNo
Yellow.ai positions itself as an agentic AI platform for customer and employee experience, with agents that hold human-like conversations across voice, chat, and email. Its multi-LLM design lets teams pick different models for different tasks instead of being tied to one vendor model. That flexibility is useful as models change quickly, and the 150+ integrations cover the usual helpdesk, CRM, and contact center stack.
The honest catch is that pricing is not published, so budgeting requires a sales conversation. Yellow.ai also shines brightest for support automation rather than for building custom internal tools. If your goal is to deflect tickets and automate service conversations across channels, it is a direct and credible Kore.ai substitute.
What we like- Voice, chat, and email agents from one platform
- 150+ plug-and-play integrations
- Multi-LLM architecture
Watch out for- No public pricing
- Enterprise sales cycle
Starting price$0.50 per session
Free planFree trial
Google has folded Dialogflow CX into Customer Experience Agent Studio, a Gemini-powered platform for building, evaluating, and deploying conversational agents. The pitch is speed: prebuilt agent templates and a visual builder aim to get agents live in days rather than weeks. Agents handle text, audio, and images, and direct audio-to-audio translation covers 10 core languages.
Pricing is refreshingly clear at $0.50 per session for voice and chat. That makes cost forecasting simple compared with quote-only rivals. The catch is ecosystem fit. Teams already on Google Cloud get the most from it, while teams standardized on AWS or Azure will find the integration story weaker. Buyers should also note the rebrand, since older guides still call the product Dialogflow CX.
What we like- Gemini-powered agents with a visual builder
- Voices in over 40 languages
- Published per-session pricing
Watch out for- Best value inside Google Cloud
- Dialogflow branding has changed, which confuses older documentation
#4Amazon Lex
Best for: AWS-based voice and chat bots4.2/5 on
G2 (43 reviews, checked Oct 2026)
Visit aws.amazon.com
Starting pricePay as you go
Free planYes
Amazon Lex builds voice and text chatbots with the same underlying technology as Alexa, and it pairs naturally with Amazon Connect, AWS cloud contact center. A visual conversation builder and an automated chatbot designer that learns from existing transcripts help teams launch in hours rather than days. Bots deploy across mobile apps, Facebook Messenger, Slack, and Twilio SMS.
Pricing is metered per API request with no upfront commitment, and new accounts get 10,000 text requests and 5,000 speech requests per month free for the first year. That makes Lex the cheapest way to prototype a Kore.ai replacement. The weakness is that Lex expects developers. Business users who want a fully visual, no-code studio may prefer Voiceflow or Cognigy.
What we like- Same technology family as Alexa
- Native Amazon Connect integration
- Generous first-year free tier
Watch out for- Developer-oriented
- Less of a visual, business-user builder than rivals
#5Rasa
Best for: Developer-led, self-hosted agents4.0/5 on
G2 (11 reviews, checked Oct 2026)
Visit rasa.com
Starting priceSee website
Free planYes
Rasa takes the opposite approach from the managed platforms on this list. It gives product teams a platform for building customer-facing AI agents with a shared codebase, a visual Studio workspace, and developer tools including a CLI and SDKs. Agents run on your infrastructure, with your model and your data, and every decision is traceable for debugging.
That control is the reason to choose Rasa, and also the reason to pause. You own hosting, updates, and scaling, so the total cost includes engineering time even though the core is open. Regulated teams and companies with strict data residency rules often accept that trade willingly. Teams without developers should look elsewhere, since Rasa rewards technical users and punishes casual ones.
What we like- Open and modular architecture
- Deploy on your own infrastructure
- Full conversation traceability
Watch out for- Needs engineering resources
- No turnkey managed service for non-technical teams
#6
IBM watsonx Orchestrate
Best for: Regulated enterprises
Visit ibm.com
Starting priceSee website
Free planNo
IBM has folded its conversational assistant work into watsonx Orchestrate, a control-plane style platform for building and governing AI agents across customer service, HR, procurement, and knowledge work. Answers are grounded in the standard operating procedures, manuals, and repositories teams already use, with every answer traced to its source. That audit trail is the main selling point for banks, insurers, and healthcare organizations.
The complication is the rebrand itself. The watsonx Assistant product page now leads to watsonx Orchestrate, so buyers comparing old reviews with current packaging need to confirm exactly which capabilities are included in a quote. Pricing is not published. For enterprises already invested in IBM, the governance story is compelling. For everyone else, the sales process is heavier than the cloud-native options here.
What we like- Strong governance and oversight model
- Agents grounded in company documents with source tracing
- Deep IBM enterprise integration
Watch out for- Product line has been reorganized, so older watsonx Assistant material may not match current packaging
#7Voiceflow
Best for: CX teams building agents fast4.5/5 on
G2 (115 reviews, checked Oct 2026)
Visit voiceflow.com
Starting priceSee website
Free planFree trial
Voiceflow is an enterprise conversational AI platform built around a simple idea: support expertise should become repeatable agent behavior. Its playbooks turn policies and procedures into agent process, and a refinement tool helps teams keep resolutions consistent. Agents run across web, app, WhatsApp, SMS, and voice, and the platform is model-agnostic rather than tied to one LLM provider.
Voiceflow reports more than 3,000 customers and over 10,000 live agents, which suggests the platform holds up in production rather than only in demos. The drawback is opaque pricing, so cost comparison requires a quote. It suits CX teams that want to own agent design themselves without hiring a systems integrator, and it is a good middle ground between developer-heavy Rasa and fully managed Cognigy.
What we like- Visual builder with playbooks for consistent resolutions
- Voice and messaging channels
- Model-agnostic design
Watch out for- No public pricing
- Enterprise focus means small teams may pay for more than they use
#8Ada
Best for: Automated support resolution4.6/5 on
G2 (173 reviews, checked Oct 2026)
Visit ada.cx
Starting priceSee website
Free planNo
Ada builds AI customer service agents on its ACX platform, with an emphasis on resolving inquiries without human help. The platform tests, analyzes, and optimizes agent performance continuously, deploys across channels and languages while preserving conversation context, and orchestrates multiple LLMs for accuracy and safety. Compliance coverage includes HIPAA, SOC 2, GDPR, PCI DSS, and AIUC-1, which matters for healthcare and payments teams.
Ada is deliberately narrow. It is excellent for support automation and less interesting for building broad internal agents or sales tools. Pricing is quote-based. If your Kore.ai deployment mostly handles support tickets and you want measurable resolution rates, Ada is a focused alternative. If you need a general agent platform, Cognigy or Google CX Agent Studio fits better.
What we like- Purpose-built for automated resolution at scale
- Strong compliance coverage including HIPAA and PCI DSS
- Multi-LLM orchestration
Watch out for- No public pricing
- Support-focused, less suited to general-purpose agent building
How we chose
We compared platforms that compete with Kore.ai on enterprise conversational AI, meaning voice and chat agents, contact center integrations, and governance for production use. We checked each vendor homepage to confirm the product exists under its current name and branding, since several of these products have been renamed or acquired. We favored vendors with published pricing where available and marked the rest as "See website" rather than guessing. Public review sources such as G2 and Capterra, vendor documentation, and pricing pages informed the strengths and weaknesses, and we left out tools that only cover one narrow slice, such as standalone voice APIs.
What to check before you switch
Start with your channel mix. A voice-first contact center has different needs from a team that only runs web chat, and platforms that treat voice as an afterthought will disappoint. Next, confirm who builds and maintains the agents. Developer-led teams do well with Rasa or Lex, while CX teams without engineers do better with Voiceflow, Ada, or Cognigy. Ask each vendor how agents are evaluated before launch, since simulated conversations and regression checks catch failures that a demo never shows.
Pricing models that change the bill
Usage-based pricing, such as Google per-session billing and Amazon per-request billing, scales with volume and is easy to forecast. Platform fees and custom quotes, the norm at Cognigy, Yellow.ai, Ada, and IBM, bundle support and services but hide the true cost until late in a sales cycle. Always ask what counts as a billable session or request, whether voice and chat are priced differently, and what happens to the bill during a seasonal spike.
Data control and compliance
If you handle health, payment, or financial data, compliance coverage is not a nice extra. Confirm HIPAA, PCI DSS, SOC 2, and GDPR status in writing, and ask where conversation data is stored and whether it trains vendor models. Self-hosted Rasa gives the most control here, while managed platforms trade some control for speed. For regulated buyers, IBM and Ada lead on governance features.
Frequently asked questions
Is Kore.ai being replaced by these platforms?
Kore.ai remains an active enterprise platform, so these are alternatives rather than replacements forced by a shutdown. Buyers usually switch because they want lower cost, faster deployment, a specific channel, or more control over hosting and models.
Which Kore.ai alternative is cheapest?
Amazon Lex is the cheapest way to start, thanks to pay-as-you-go billing and a first-year free tier. Google CX Agent Studio is the most transparent at $0.50 per session. Managed enterprise platforms cost more but include services and support that cloud tools do not.
Can I migrate existing Kore.ai bots to another platform?
There is no automatic migration path, so expect to rebuild conversation flows, retrain intents, and reconnect integrations. Voiceflow and Cognigy offer visual builders that speed up rebuilds, while Rasa and Lex require more engineering effort.
Do these platforms support voice as well as chat?
Cognigy, Yellow.ai, Google CX Agent Studio, Amazon Lex, and Voiceflow all support voice and chat. Rasa supports voice through channels and integrations rather than as a built-in telephony product, so voice-heavy teams should confirm telephony requirements early.
Which alternative is best for a small team?
Small teams usually do better with Amazon Lex or Voiceflow. Lex keeps costs low and scales with usage, while Voiceflow gives non-developers a visual builder. Enterprise platforms such as Cognigy and IBM are built for larger volumes and budgets.
Sources we checked (8)
- https://www.cognigy.com
- https://yellow.ai
- https://cloud.google.com/dialogflow
- https://aws.amazon.com/lex
- https://rasa.com
- https://www.ibm.com/products/watsonx-assistant
- https://www.voiceflow.com
- https://www.ada.cx
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.