PolyAI is developing a new generation of enterprise voice assistants that have the ability to converse naturally with customers to address their needs, no matter what language they use, or how they communicate their issues. PolyAI has many large enterprise clients across banking, hospitality, insurance, retail and telecoms and is powering over a million customer interactions each month for its major brand clients using a single, omni-channel platform that combines state-of-the-art AI technology with the robust control capabilities of the enterprise.
Founded by two former Cambridge machine learning researchers, Nikola Mrkšić and Shawn Wen, in order to develop voice-based AI solutions for customer service in the enterprise space.
Received $40M to enable voice AI to automatically process contact center calls, as reported by TechCrunch.
Has announced this year’s speaker line-up for the company's annual voice AI summit focused on the practical application of the technology in the real world.
Announced a partnership with Shared Services Connected Ltd to deliver AI-powered customer experience management.
Multi-region with offices in US, UK, Serbia
Advanced voice AI with natural language understanding, speech recognition, and enterprise conversational capabilities trained by Cambridge ML researchers
Inferred from company description and leadership backgrounds; specific frameworks not publicly detailed
PolyAI uses a Managed Voice AI Agent to answer incoming customer service calls from consumers using NLP Technology and Speech Synthesis. Consumers will be authenticated, transaction processed (bookings/payments), and escalated to Human Representatives when necessary with all conversation history. Consumers work directly with PolyAI's team for Custom Deployment and Integration.
Pricing is not published publicly; it is an enterprise managed service with customized pricing based on the number of calls made per month, the number of languages supported, and the number of third-party integrations used. Contact Sales for quotes – there is no free trial.
Unlike traditional IVR phone menus (i.e., Press 1 for Billing) PolyAI allows for Free-Form Conversational Input/Output from/to customers. Customers may interrupt the agent, change topic, or ask follow-up questions without causing a break in conversation. PolyAI handles 50% + of calls without Human Intervention, including those involving Multi-Turn Interactions.
Yes, PolyAI complies with SOC 2, HIPPA, and GDPR Standards. The Platform is designed to integrate with existing Contact Center Infrastructure (telephony systems, IVR platforms, CRM Systems, etc.) while providing enterprise-grade Security. No credential storage issues have been reported.
The PolyAI Platform seamlessly integrates with existing technologies including, but not limited to, CRMs, Telephony Systems, IVR Platforms, Booking Systems, etc. (replacing existing infrastructure). An integration with Amazon Connect is also available. Authenticates users, processes payments/transactions via your existing tech stack.
12 languages out of the box with support for regional accents and noisy environments. Custom enterprise agreements enable dialect-specific tuning and additional languages. Strong performance across multilingual deployments.
No free trial or public sandbox available. PolyAI operates as a managed service where their professional services team builds and deploys agents. Fast go-live timelines for enterprise deployments.
Latency between 700-900ms may affect high-pressure conversations. Limited analytics features and no public developer tools or no-code builder. UI feels outdated and lacks testing environments.
PolyAI delivers enterprise-grade voice AI agents excelling in natural conversation handling, complex customer service workflows, and seamless integration with existing contact centers. While voice quality and deployment speed impress, the managed service model, lack of public pricing/tools, and moderate latency limit accessibility for smaller teams. Best positioned for high-volume industries prioritizing call deflection over developer flexibility.
PolyAI excels for enterprises deploying production voice AI at scale but requires sales engagement and lacks self-service options.
PolyAI is a leading provider of voice AI solutions to help companies enhance their customer experience through automation of customer service, with PolyAI handling 50% or more of all customer service calls independently across multiple turn conversations. PolyAI also offers voice quality that is unmatched, supports over 12 languages, has deep integrations into CRM/Telephony systems and is compliant with industry standards for security, privacy and regulatory requirements. PolyAI operates exclusively as a managed services model and does not provide public pricing for its services, nor does it offer developer tools or trial versions of its products. The company's rapid growth has been fueled by $118 million + in investment capital from some of the largest investors in the world, which are now serving several Fortune 500 customers such as FedEx, Marriott International and Caesars Entertainment.
Good - comprehensive reviews from G2/Capterra/GetApp, detailed feature analysis across multiple sources. No public API docs, pricing, or developer portal limits technical depth. Consistent enterprise positioning across analyst coverage.
PolyAI is providing solutions to several Fortune 500 companies, including FedEx, Marriott International and Caesars Entertainment. The company has proven itself capable of managing high volume call centers in various industries, including banking, healthcare, hospitality and utilities.
Since the company was founded in 2017, PolyAI has received $118.5 million in total funding. In recent years, the company has seen revenue grow by ten times. In late 2025, PolyAI secured $86 million in new funding from top-tier investors who clearly have faith in the future of the voice AI market.
PolyAI uses AWS for its cloud infrastructure and develops its own proprietary models for both Speech-to-Text (SLU) and Natural Language Understanding (NLU) to analyze and understand billions of voice interactions with its customers. Additionally, PolyAI has patented its Dialogue Management capabilities which can recognize interruptions in conversations, topic changes, emotional cues and other complex elements that occur during conversations.
PolyAI is a managed services company and provides end-to-end solutions to its customers. The PolyAI team will handle the design, integration, deployment and ongoing optimization of all of its customers' voice AI projects. As a result, PolyAI customers are able to achieve a very fast time-to-go live for all large scale enterprise voice AI deployments.
According to publicly available data, PolyAI consistently receives high ratings from users of its products with an average rating of 5.0/5 based on specific features such as NLP, ML. Users of PolyAI also rate the company's voice quality and overall enterprise reliability highly, according to reviews posted to websites such as Capterra and G2.
| Metric | PolyAI Performance | Industry Context |
|---|---|---|
| End-to-End Latency | 700-900ms | Adequate but not ideal; competitors achieve <500ms |
| Performance Rating | Good | Acceptable for most transactional calls but lags in high-pressure conversations |
| Known Limitations | Occasional robotic pauses | Emotional sensitivity moments show tonal mismatches |
| Performance Layer | PolyAI Capability | Verified Results |
|---|---|---|
| Task Completion | High-complexity query handling | Manages up to 80% of transactional calls without escalation |
| Call Resolution | Inbound call handling to resolution or escalation | 50% of customer service calls resolved without human intervention |
| Transaction Types | Multi-turn conversations | Booking updates, authentication, insurance verification, payments, refunds |
| Escalation Quality | Warm transfer with context | Passes conversation summary to human agents |
PolyAI uses proprietary models that are trained to provide customer service via voice interactions. These models enable PolyAI to extract the intent and entities from the customer’s voice interaction.
PolyAI’s Speech Recognition Unit (SLU) corrects errors made by the speech recognition output in real time; thus providing a more reliable way of recognizing what was said.
PolyAI’s patented technology allows customers to perform a variety of transactional functions while having a natural conversation with the system.
PolyAI manages the flow of back-and-forth dialogue that can occur across multiple topics within a single customer interaction. It is able to handle interruptions and topic shifts as well.
Each PolyAI assistant can be customized with its own unique voice branding so that the tone and lexicon of the assistant matches the brand identity of the company using it.
PolyAI is designed to integrate seamlessly into an organization’s existing technical infrastructure. This means that companies do not need to replace their current systems to begin using PolyAI.
PolyAI’s monitoring and analytics tools allow organizations to track key performance indicators such as call volume, resolution rate, and “hot” issues.
PolyAI’s intelligent routing tool directs incoming calls to the most relevant department or human agent, and also supports warm transfers with all necessary contextual information.
PolyAI verifies the identity of callers and updates the contact information associated with the caller’s account. It also checks balances when performing transactions.
PolyAI processes payments, modifies reservations, issues refunds, and makes changes to bookings.
PolyAI uses industry leading proprietary models that are trained using large amounts of voice conversation data.
PolyAI uses industry leading Generative Large Language Models that are specifically trained for use in customer service environments.
PolyAI has developed a web-based platform that allows organizations to test and optimize the conversational flows, lexicons, and tone of their PolyAI-based systems.
Easy-to-use automation with an omnichannel interface designed for non-technical teams.
Feedback loops for training AI models; comprehensive analytics with a conversational review tool.
Measure the naturalness, authenticity, and warmth of your voice output; perform user perception studies to measure how users perceive your automated conversations.
Measure how well the AI handles topic shifts, interruptions, and multi-turn dialogues related to your business domain.
Verify whether you can accept the 700-900ms performance as part of your business use case; consider whether you require better latency to detect emotional sensitivity in a customer.
Determine the likelihood that you will be able to deflect at least 50-80% of all calls using automated transactions of the type you have defined.
Confirm that your CRM and telephony systems are compatible with this product without having to re-platform.
Determine whether the 12 base languages are sufficient for your company or if you need customized enterprise language variants.
Confirm whether PolyAI meets the standards for compliance with SOC 2, HIPAA, GDPR etc. applicable to your business/industry.
Confirm whether the fast go-live capabilities will allow you to meet your project timelines.
Recognize that the analytics tools are described as being limited; determine whether real-time dashboards provided by PolyAI meet your needs.
Understand the nature of PolyAI’s managed service model; confirm whether the level of support from PolyAI will align with your operational model.
