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Bland AI announced that it has received $16 million in Series A funding led by Scale Venture Partners. So far, Bland AI's total financing has reached $22 million. Other investors include Y Combinator and some well-known angel investors, such as PayPal founder Max Levchin, Eleven Labs CTO Piotr Dąbkowski and Twilio founder Jeff Lawson.
What is Bland AI
Bland AI is an AI-powered telephony platform designed for businesses that helps companies create and manage intelligent telephony agents. These agents can replace human agents in handling high-volume phone calls for tasks such as customer support, sales, and appointment booking. By automating these common phone interactions, Bland AI enables businesses to reduce operating costs, increase efficiency, and improve customer experience.
Key Features of Bland AI
Wide range of application scenarios
Whether it is sales, customer support, or operations, Bland AI can be customized according to the needs of the enterprise. Users can choose any voice or language and teach AI to handle various conversations in a way similar to employee training.
Seamless integration
Bland AI supports integration with any system and can be easily integrated into the company's existing tools. It can also obtain information from documents and transfer to manual services when necessary. It supports automatic transfer to manual services, appointment meetings, text messaging, and CRM updates.
Dedicated for Enterprises
Bland AI provides customized infrastructure to ensure your system remains stable even during high-traffic periods. In addition, Bland provides detailed call analytics and customized tools to help you optimize your phone agent performance.
Call Recording and Analysis
Provides call records, post-call analysis, and supports AI training based on the company's existing data.
Unlimited call expansion
Supports voice cloning, multi-language, and AI testing systems.
Improved efficiency
Bland AI can work 24/7 to handle a large volume of calls while being trained based on the specific needs of the business to improve overall efficiency.
Technical Highlights of Bland AI
Conversational Pathways Programming Language:
- Bland AI has developed a specialized programming language called Conversational Pathways, which features the ability to break down conversational flows into multiple nodes, thereby reducing possible misunderstandings or "hallucinations" by the AI and ensuring that the AI agent can respond accurately when interacting with customers.
- Using Bland AI's unique programming language "Conversational Pathways", enterprises can design detailed conversation paths. This path is like a script that guides AI phone agents on how to interact with customers in different situations, ensuring that each conversation is conducted intelligently and accurately.
Self-developed voice technology:
- To achieve low latency and high security, Bland AI designed and hosted its own text-to-speech (TTS), inference, and speech transcription models. These technologies ensure that AI agents can process and respond to customer phone requests at near real-time speeds.
- Enterprises can choose from preset voices, or clone and customize a voice that meets brand or business needs. In addition, Bland AI supports multiple languages, so enterprises can choose the language that suits their target customers, ensuring that the call experience is more humane and emotional.
Comprehensive observability and analytics capabilities:
- The Bland AI platform provides comprehensive monitoring and analytics tools so businesses can see and record everything that happens in real time during every call.
- Every telephone interaction will be recorded in detail, and companies can view real-time call logs and post-event analysis through Bland AI's monitoring and analysis functions. With this data, companies can continuously optimize the performance of AI telephone agents and improve overall efficiency and customer satisfaction.
Official website: https://www.bland.ai/
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- Author:KCGOD
- URL:https://kcgod.com/bland-ai-received-16-million-in-a-funding
- Copyright:All articles in this blog, except for special statements, adopt BY-NC-SA agreement. Please indicate the source!
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