
Tenyx
Next-gen AI voice agents. Voice and chat agents for frustration-free inbound and outbound calls.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor investor investor investor investor investor investor investor investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |










USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
Related Content
Tenyx is a startup that operates in the artificial intelligence (AI) sector, specifically focusing on customer experience (CX) solutions. The company offers an AI-powered voice agent that aims to enhance customer interactions by providing a more intuitive and natural conversation flow. This is achieved through the use of their proprietary generative AI technology and a large language model (LLM), which essentially means the AI can understand and respond to customer inquiries accurately, without giving confusing or unclear responses.
Tenyx's services are geared towards businesses that have a high volume of customer interactions, such as those in the hospitality, e-commerce, and subscription-based sectors. The AI voice agent can handle a wide range of inquiries, from hotel reservations to web subscriptions and e-commerce related questions. This not only improves the customer experience but also increases the efficiency of the businesses by freeing up human resources for other tasks.
The company's business model revolves around providing AI solutions to businesses to enhance their customer service. They generate revenue by charging these businesses for the use of their AI technology. Additionally, Tenyx also offers the ability to A/B test different interactions, allowing businesses to optimize their customer service by identifying which methods work best.
In summary, Tenyx is an AI startup that provides businesses with an AI-powered voice agent to improve customer interactions, increase efficiency, and ultimately, boost revenue and conversions.
Keywords: Artificial Intelligence, Customer Experience, Voice Agent, Large Language Model, Hospitality, E-commerce, Subscriptions, A/B Testing, Revenue Generation, Efficiency.