Bespoken provides a software platform for automated testing, monitoring, and benchmarking of conversational AI, chatbots, and IVR systems. The platform ensures high-quality customer interactions by identifying defects, optimizing performance, and delivering real-time alerts to prevent outages.
Funding
$6.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and maintaining high-quality conversational AI applications like chatbots and IVR systems is challenging due to the complexity of natural language understanding, speech recognition, and dialog management. Identifying defects, ensuring consistent performance, and scaling these systems can be time-consuming and resource-intensive.
Solution
Bespoken provides a comprehensive software platform for automating the testing, monitoring, and benchmarking of conversational AI, chatbots, and IVR systems. The platform enables developers, QA teams, and operations personnel to identify and triage defects, optimize customer journeys, and achieve continuous quality assurance. By simulating real-user interactions, Bespoken helps ensure high-quality customer experiences, eliminates performance bottlenecks, and provides real-time alerts to prevent outages. The platform supports various testing types, including accuracy, functional, load, and exploratory testing, across different channels like voice, chat, and IVR.
Target Audience
Bespoken's primary customers are developers, QA engineers, and operations teams responsible for building and maintaining conversational AI applications, chatbots, and IVR systems in enterprises of all sizes.
Features
- Automated functional testing to validate end-to-end conversational flows, including ASR, NLU, and user functionality.
- Accuracy testing to measure the performance of ASR and NLU components across different languages and accents.
- Load testing to assess the scalability and reliability of conversational AI systems under high traffic conditions.
- 24/7 monitoring with real-time alerts to detect and resolve issues proactively.
- Exploratory testing to uncover unexpected behaviors and edge cases.
- Local testing capabilities within the IDE to accelerate development and debugging.
- Comprehensive reporting and analytics to track key performance indicators and identify areas for improvement.