Full-Time
ASAPP
201-500 employees
AI tools for enhancing customer service
No salary listed
Mid, Senior
New York, NY, USA
This position is hybrid, requiring some in-office days.
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- A masters degree in any area of machine learning; or equivalent experience
- Relevant academic or industrial research experience
- The scientific curiosity and tenacity required to solve hard research problems
- Strong communications and interpersonal skills
- Ability to work with a diverse team in a fast-paced environment
- Design, develop and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products
- Collaborate with product & engineering teams to ensure the success of projects during the research phase and after
- Build and maintain research datasets, infrastructure and toolkits
- Collaborate with other functions at ASAPP to identify research opportunities.
- Peer reviewed publications in any area of machine learning
- Strong software engineering experience
- Experience fine-tuning LLMs
- Ability to maintain a fun, casual, professional and productive team atmosphere
- The ability to communicate in a courteous, tactful, and concise manner
- Enthusiasm and the ability to thrive in an atmosphere of constant change
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 AI solutions on a recurring basis. This model not only ensures consistent revenue for ASAPP but also provides clients with 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 enable data-driven decision-making.
Company Size
201-500
Company Stage
Series C
Total Funding
$380M
Headquarters
New York City, New York
Founded
2014
Simplify's Take
What believers are saying
- Frank Slootman's board appointment may lead to strategic partnerships and insights.
- CoachingAI automates quality assurance, reducing costs and improving service quality.
- Rapid AI adoption across industries suggests a growing market for ASAPP's solutions.
What critics are saying
- Amazon's Nova Sonic poses a competitive threat to ASAPP's AI offerings.
- Rapid AI development may lead to increased regulatory scrutiny for ASAPP.
- Growing competition in AI applications could impact ASAPP's market share.
What makes ASAPP unique
- ASAPP's AI models continuously learn from every customer interaction, enhancing agent performance.
- The CXP platform provides real-time guidance for customer care and sales agents.
- ASAPP's AutoTranscribe offers highly accurate, real-time speech-to-text transcription services.
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Benefits
Learning & Development
Comprehensive Health Benefits
Daily Catered Meals
Vacation
401K Program
Family Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 2%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.
Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. Since late last year, AI development has gained momentum at what seems like an inexorable pace. From large language models (LLMs) like GPT-4 that are capable of extraordinary cognitive feats (like scoring in the 90th percentile on the Uniform Bar Examination) to ASR platforms like ASAPP (which has reached 98.25% accuracy), it’s clear that the tempo of progress in AI will only continue to accelerate. Improvements in the field have been so rapid that a petition to impose a moratorium on training AI systems has received more than 27,000 signatures, including from many leading AI researchers, intellectuals and entrepreneurs. While caution is certainly warranted when it comes to technology as powerful as AI, the potential benefits of these systems are so vast that we will soon see rising AI adoption across a sprawling range of industries and sectors. The competitive advantages offered by AI will hasten its rate of adoption, and the technology will become increasingly differentiated by sector and use case. This means AI will become deeply embedded in the daily operations of a surging number of companies — a shift that will fundamentally alter how market share is distributed, which products and services are available to customers and how companies position themselves in the world. Why AI adoption will be rapid and widespreadIntelligence is the most powerful and dynamic resource we have — it’s an engine of innovation, it can be put toward unlimited purposes, and in the case of AI, it even has the potential to be recursively self-improving