Full-Time
AI tools for enhancing customer service
No salary listed
Senior
Chennai, Tamil Nadu, India
ASAPP provides AI-powered tools to improve customer service operations. Their main product is a conversational AI voice and chat agent that accurately transcribes calls, automates call summaries, and generates automated responses to enhance agent productivity. Targeting businesses with high volumes of customer interactions, such as call centers and support departments, ASAPP operates in the customer experience market, which is growing as companies focus on customer satisfaction. They offer their services through a subscription model, allowing clients to access their tools for a recurring fee. This model not only ensures consistent revenue for ASAPP but also allows for ongoing software updates. By automating customer service tasks, ASAPP helps businesses save time and reduce costs, ultimately aiming to improve human performance in customer service and provide actionable insights for better decision-making.
Company Size
201-500
Company Stage
Series C
Total Funding
$380M
Headquarters
New York City, New York
Founded
2014
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Learning & Development
Comprehensive Health Benefits
Daily Catered Meals
Vacation
401K Program
Family Leave
Ahdoot Wolfson attorneys are investigating a potential class action lawsuit against ASAPP, Inc. for their potential violation of California data privacy laws.
In-depth Amazon coverage from the tech giant’s hometown, including e-commerce, AWS, Amazon Prime, Alexa, logistics, devices, and more.Amazon CEO Andy Jassy teased ahead to today’s announcement when he unveiled Amazon’s Nova initiative in December at AWS re:Invent in Las Vegas. (GeekWire Photo / Todd Bishop)What happens when the AI senses the frustration or joy in your voice?A new speech-to-speech AI model from Amazon, called Nova Sonic, unifies speech recognition and generation to deliver more natural voice interactions — part of the Seattle tech giant’s broader effort to develop human-like intelligence in competition with Google, OpenAI, and others.Among other advances, Amazon says Nova Sonic picks up on tone of voice, adapting to the style and emotions of users. An angry customer on a support call might hear a calm, steady voice in return, while someone sounding excited could get a more upbeat response.“I think of intelligence as inseparable from context,” said Rohit Prasad, Amazon’s senior vice president of artificial general intelligence, who leads a central team working on the company’s most advanced AI technology.“If you’re excited about Hawaii, it will be excited about it,” he explained, as an example. “If you’re not, then it will suggest a separate destination.”Nova Sonic will be available to third-party developers through Amazon’s Bedrock service. Amazon is already using components of the model internally, in products including its newly released Alexa+ voice assistant.Unlike traditional voice systems that stitch together separate models for speech recognition, language processing, and text-to-speech, Nova Sonic combines all three in a single architecture, according to the company.Amazon says this integration allows the model to preserve the full context of a conversation — including intonation, pacing, and intent — making interactions feel more conversational and responsive.It can also take action in the middle of a conversation, like pulling up flight options or checking an account, without breaking the flow of the interaction.Amazon is making Nova Sonic available via a new streaming API built for real-time voice applications. It currently supports English with a few different voices and accents
ASAPP named a Leader in Digital Customer Interaction Solutions by top independent research firm.
ASAPP, the generative AI company for contact centers, announced that Frank Slootman, CEO and chairman of Snowflake, has joined its Board of Directors.
ASAPP, the Generative AI company for contact centers, introduced CoachingAI, a new product that automates the quality evaluation for 100% of contact center interactions, enabling supervisors and quality analysts to spend more time coaching their agents and less time evaluating them.