Cognigy vs Uniphore (2026): which should you pick?
As of Nov 13, 2026, Cognigy grades higher than Uniphore: 1.8 against 1.6 out of 4.0.
Checked Nov 12, 2026 and Nov 13, 2026 · graded Nov 12, 2026 and Nov 13, 2026 by ToolGPA
Cognigy grades higher on platforms. They get the same grade on value for money, the free plan, features and ease of use.
Price, platforms and features side by side. The table says where each price was read and when.
Uniphore
Enterprise platform for building and orchestrating business AI agents
Paid
Which one is for you
Pick Cognigy if
- Fits if you run a contact center and want voice and chat agents
- Works for a company that buys through a demo
Look elsewhere if
- Skip it if you want a price: none is published and the pricing page does not exist
- Not for you if you want to try it free, as no free plan or trial is shown
- Watch out: the site now uses the NiCE Cognigy name
Pick Uniphore if
- Fits if you are a large enterprise buying through a sales team
- Works for companies that want one vendor for agents, data and models on their own infrastructure
Look elsewhere if
- Not for you if you want a price, as the site has no pricing page
- Skip it if you are a small team, since it is positioned for Fortune 1000 and other large enterprises
- Too light on detail: no integrations or limits are listed on the pages read
- Watch out: the site describes a Marketing AI product as its newest direction
How we grade them
| 1.8GPACognigyWeak | 1.6GPAUniphoreWeak | |
|---|---|---|
| Value for money | CNo prices are published and the pricing page does not exist, so it sits in the middle by default. | CNo price is published and there is no pricing page, so it sits in the middle by default. Access is through sales. |
| Free plan and trial | FNo free plan or self-serve trial is shown. | FNo free plan or trial is listed, so the way in is a sales conversation. |
| Features | CVoice, chat and messaging agents, agent assist and evaluation, with industry agents. | CAgentic layer, visual workflows, knowledge, model and data layers and industry use cases. The pages read describe the platform in broad terms and show few specifics. |
| Ease of use | CNo store rating on record. Sold through demos, so rollout is a project. | CNo store rating on record. An enterprise rollout with the vendor's team and data to connect. |
| Platforms and integrations | BWeb only, with six named integrations and no API on record. | CWeb platform only on the pages read. No integrations are listed in the listing, and no apps. |
| Best for | AI agents for voice and chat contact centers | enterprise AI agent platform |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Cognigy and Uniphore. How we grade
Where they differ
- Cognigy also covers live chat, AI support agent and chatbots.
- Uniphore also covers workflow automation and no-code.
In commonWebAI agents
At a glance
| Cognigy | Uniphore | |
|---|---|---|
| Pricing | Paid | Paid |
| Starts at | Not published | Not published |
| Free plan | None | None |
| Free trial | None listed | None listed |
| Web | ||
| Made by | Cognigy | Uniphore |
| Price read from | Not confirmed | Not confirmed |
| Checked | Nov 12, 2026 | Nov 13, 2026 |
Worth knowing
Cognigy
- No prices are published and the pricing page does not exist; the call to action is See a Demo.
- No free plan or self-serve trial is shown.
- The site now uses the NiCE Cognigy name.
Uniphore
- No prices are published and the site has no pricing page; access is through the sales team.
- The vendor positions the platform for Fortune 1000 and other large enterprises.
- The site also describes a Marketing AI product as its newest direction.
Key features
Cognigy
- AI agents for voice
- Voice agents are listed as a main use case, with voice connectivity as a platform capability.
- Chat and messaging agents
- Agents for chat and messaging channels, plus a live chat product.
- Agent assist
- An agent copilot that supports human agents in the contact center.
- Agent evaluation
- Platform capability for evaluating agents, alongside AI Ops and orchestration.
- Industry agents
- Pages for airlines, automotive, finance, healthcare, insurance, retail, telecom and utilities.
Uniphore
- Agentic layer
- Builds and manages agents with a no-code interface and natural language builder, and orchestrates custom and third-party agents.
- Visual workflows
- Agentic workflows are designed in a visual, BPMN-compatible builder that maps to business logic.
- Knowledge and model layers
- Builds domain-specific small language models from enterprise data, with guardrails and governance for the models used.
- Data layer
- Prepares enterprise data for AI without migrating it, which the vendor calls zero-copy.
- Industry use cases
- Pages cover risk and compliance, finance, procurement, revenue operations, marketing activation and customer experience automation.
Plans
Cognigy
Pricing could not be confirmed. See cognigy.com.
Uniphore
Pricing could not be confirmed. See uniphore.com.
Common questions
Which is cheaper, Cognigy or Uniphore?
As of Nov 13, 2026, Cognigy has no price we could confirm, and Uniphore has no price we could confirm.
Which has a free plan, Cognigy or Uniphore?
As of Nov 13, 2026, neither Cognigy nor Uniphore has a free plan.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.