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Founded Year

2014

Stage

Series C | Alive

Total Raised

$312.57M

Valuation

$0000 

Last Raised

$120M | 1 yr ago

Mosaic Score

+80 points in the past 30 days

What is a Mosaic Score?
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

About ASAPP

ASAPP is an artificial intelligence software that aims to help call center agents work better and faster. ASAPP software says it does not replace human call center agents, but instead analyzes the calls of a center’s most efficient agent and then sends to all agents real-time suggestions of what to say in response to specific things said by customers. For web chats, it presents the agent with multiple potential responses that can be sent with a click.

ASAPP Headquarters Location

One World Trade Center Floor 80

New York, New York, 10007,

United States

212-658-0990

ESPs containing ASAPP

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER
Consumer & Retail / Retail Tech

Platforms in this market support customer service agents with conversation review tools, smart suggestions, live translation, quality assurance, and online session replays, among other agent-centric solutions.

ASAPP named as Leader among 14 other companies, including Calabrio, Unbabel, and Observe.ai.

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

ASAPP's Products & Differentiation

See ASAPP's products and how their products differentiate from alternatives and competitors

  • ASAPP Platform

    The self-learning ASAPP platform operates without rules programming, so it’s always current – never brittle. And, as it works it identifies new opportunities to add micro- automations to help your agents and continuously improve efficiency throughout contact center operations

    Differentiation

    AI Native technology as opposed to legacy rules-based software, which requires constant monitoring and programming to adapt to changing circumstances. 

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    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

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    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

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    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

    Differentiation

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

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    Differentiation

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Expert Collections containing ASAPP

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

ASAPP is included in 5 Expert Collections, including Digital Health.

D

Digital Health

8,838 items

Startups recreating how healthcare is delivered

U

Unicorns- Billion Dollar Startups

1,190 items

A

Artificial Intelligence

9,391 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

F

Future Unicorns 2019

50 items

C

Customer Service Tech

984 items

Companies offering technology-driven solutions for brands and retailers to enable customer service before, during, and after in-store and online shopping.

ASAPP Patents

ASAPP has filed 55 patents.

The 3 most popular patent topics include:

  • Artificial neural networks
  • Computational linguistics
  • Machine learning
patents chart

Application Date

Grant Date

Title

Related Topics

Status

10/25/2019

8/23/2022

Speech recognition, Artificial neural networks, Computational linguistics, Instant messaging clients, Social networking services

Grant

Application Date

10/25/2019

Grant Date

8/23/2022

Title

Related Topics

Speech recognition, Artificial neural networks, Computational linguistics, Instant messaging clients, Social networking services

Status

Grant

Latest ASAPP News

insideBIGDATA Latest News – 6/27/2022

Jun 27, 2022

insideBIGDATA Latest News – 6/27/2022 In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. AMAX Launches Ultralow-Latency and Liquid-Cooled Quad-GPU Data Science Workstations AMAX, a leading provider of high-performance computing (HPC), artificial intelligence (AI), and OEM data center manufacturing, has announced new GPU workstations for AI developers that are not only ultra-powerful but also suitable for deployment in any non-lab environment. Continuous advancements in computer vision applications bring new use cases such as object recognition from point clouds and image segmentation into focus. These high-performance computing needs are increasingly concentrated on applications such as autonomous driving, robotics, and smart retail. As industries continue to adopt approaches to take advantage of artificial intelligence and machine learning, so too will they demand increasingly powerful, high-performance computing solutions. AceleMax DL-E142 is equipped with four NVIDIA A100 80GB GPU cards, supporting up to 2TB DDR4 memory, NVMe local storage, on-board 10GbE NIC with an option to upgrade to 100GbE and driven by a single-socket 3rd Gen CPU up to 64 cores. Its unique chassis design allows for both desktop and rackmount orientation. Manufactured and engineered by AMAX, the DL-E142 tackles the toughest accelerated workloads demanded by developers with ultralow GPU to GPU latencies by eliminating inter-CPU communication. LiquidMax TL40-X3 is an ultra-quiet liquid-cooled workstation, equipped with dual-socket 3rd Gen Intel Xeon Scalable series processors and supporting up to four NVIDIA A100 80GB GPU cards. Quieter than an electric toothbrush, the TL40-X3 makes up to only 55 dB at load. The custom CPU and GPU cold plates, cooling system, and chassis are designed and built by AMAX to give customers the most powerful and non-intrusive platform. BigPanda Launches Unified Analytics to Improve Business KPIs for IT Operations Teams BigPanda, Inc. , a leader in AIOps Event Correlation and Automation, launched Unified Analytics, a revamped feature that gives IT Ops teams new self-service analytic capabilities to create new and highly interactive dashboards and reports from complex IT Ops alert data. BigPanda is the only AIOps platform that also delivers a complete library of ready-to-use operational and value dashboards that allow users to rapidly track and measure IT operations KPIs, metrics and value use cases that show the impact of IT Ops improvements to the business. “With so much IT Ops data created on a daily basis, teams need an easy way to harness it so they can see what’s working for the business and what’s not,” said Fred Koopmans, BigPanda’s chief product officer. “BigPanda was already the most robust AIOps platform on the market, and with our new Unified Analytics, organizations harness a virtuous cycle of data-driven analysis, decision making and measurement that has a massive impact on IT Operations that delivers real-life business outcomes.” InfluxData Announces Edge Data Replication Solution InfluxData , creator of a leading time series platform InfluxDB, announced Edge Data Replication, a new capability for centralized business intelligence in widely distributed environments. Available immediately, Edge Data Replication enables developers to collect, store and analyze high-precision time series data in InfluxDB at the edge while replicating all or subsets of this data into InfluxDB Cloud. With Edge Data Replication, InfluxData combines the power of InfluxDB at the edge and in the cloud to deliver the industry’s most scalable time series data replication solution. Modern applications are highly distributed and produce enormous volumes of time series data at the edge. Effectively managing the data in these applications and associated assets is a time-consuming, resource-intensive process, and developers often don’t have the capabilities or budgets to manage hundreds or thousands of data pipelines. InfluxDB’s Edge Data Replication changes the way developers and operators process time series data across distributed environments using a new edge database configuration that durably queues and mirrors select datasets to the cloud. The availability of Edge Data Replication marks a critical first step in InfluxData’s journey to solve key time series data integration and orchestration challenges for customers building distributed applications in energy, manufacturing, aerospace, and other high-tech industries. “Data has gravity, and much of it is created far from clouds and data centers. This pulls applications out to the edge, where the data is born and produces its greatest value. Unfortunately, most databases don’t acknowledge or respect these emerging hybrid edge-cloud environments,” said Rick Spencer, Vice President of Products, InfluxData. “Edge Data Replication sets a new benchmark for time series platforms by combining the power of cloud with the precision of the edge – a best of both worlds solution that’s key to tomorrow’s distributed applications.” Edge Solution for Industrial IOT, Time-critical OT Systems IOTech , the edge software company, has announced the general availability of Edge XRT v2.0. This is a major release of its open software platform designed for time-critical and embedded OT applications at the industrial IoT edge. Edge XRT 2.0 greatly simplifies the development of OT applications and enables faster time-to-market for new edge systems. It is hardware agnostic, independent of the silicon provider (Intel or ARM) and operating system. Users have complete deployment flexibility. They can deploy it as a native application, containerized and/or into a virtualized environment. “As a configurable, embeddable, high-performance OT platform, Edge XRT 2.0 is unique,” said Andrew Foster, Product Director at IOTech. “It provides a rich set of OT and IoT capabilities that our customers can easily use to create their own edge solutions. In most cases, this is through simple configuration without the need for lots of custom code.” Datafold Launches Open Source data-diff to Compare Tables of Any Size Across Databases Datafold , a data reliability company, announced Open Source data-diff , a new open source cross-database diffing package. This new product is an open source extension to Datafold’s original Data Diff tool for comparing data sets. Open source data-diff validates the consistency of data across databases using high-performance algorithms. In the modern data stack, companies extract data from sources, load that data into a warehouse, and transform that data so that it can be used for analysis, activation, or data science use cases. Datafold has been focused on automated testing during the transformation step with Data Diff, ensuring that any change made to a data model does not break a dashboard or cause a predictive algorithm to have the wrong data. With the launch of open source data-diff, Datafold can now help with the extract and load part of the process. Open source data-diff verifies that the data that has been loaded matches the source of that data where it was extracted. All parts of the data stack need testing for data engineers to create reliable data products, and Datafold now gives them coverage throughout the extract, load, transform (ELT) process. “data-diff fulfills a need that wasn’t previously being met,” said Gleb Mezhanskiy, Datafold founder and CEO. “Every data-savvy business today replicates data between databases in some way, for example, to integrate all available data in a warehouse or data lake to leverage it for analytics and machine learning. Replicating data at scale is a complex and often error-prone process, and although multiple vendors and open source tools provide replication solutions, there was no tooling to validate the correctness of such replication. As a result, engineering teams resorted to manual one-off checks and tedious investigations of discrepancies, and data consumers couldn’t fully trust the data replicated from other systems.” ASAPP AutoTranscribe, Highly Accurate Real-time Speech-to-Text Technology for Contact Centers, Now Available as API  ASAPP , Inc., the AI Cloud company for Contact Centers launched AutoTranscribe —highly accurate, real-time, speech-to-text transcription service. ASAPP has built a world-class speech team with the goal of providing the fastest and best transcription accuracy in the contact center environment. AutoTranscribe operates at the highest level to make agents more efficient and provide deep insights into voice interactions. “ASAPP has a dedicated team of natural language processing (NLP) and speech researchers who are advancing state-of-the art in automatic speech recognition (ASR) and task-oriented dialogue. AutoTranscribe is designed to operate in a complex, noisy contact center environment at millisecond speeds with the highest real-time transcription accuracy in the industry,” said ASAPP Chief Scientist Ryan McDonald. “Our AutoTranscribe models are pushing the highest level of development in neural end-to-end ASR incorporating ASAPP-driven advances in architectures and training strategies. We have a dedicated team of researchers who are 100% focused on building highly accurate and scalable solutions that are specific to the contact center.” LogRocket Launches Conditional Recording to Empower Software Teams to Intelligently Surface Digital Insights LogRocket , makers of the Digital Experience Analytics platform that enables customers to narrow in on the most important issues affecting user experience in just minutes, announced it has launched LogRocket Conditional Recording, a solution that allows customers to intelligently capture only the digital analytics data that matters to their business. Traditional digital analytics solutions require teams to pay for every user experience captured on their site, which quickly becomes cost-prohibitive for large B2C and B2B brands. Many teams turn to sampling data to control costs, which leads to problems when important data is missing. LogRocket Conditional Recording removes this limitation by intelligently detecting negative user experience and ensuring that these negative experiences are captured and stored. Instead of relying on sampling which can miss important data, LogRocket customers reliably know that 100% of the data they need will be available in real-time. “With consumers accelerating their adoption of digital channels around the world, there is more data than ever before that can be used to optimize experiences,” said Matt Arbesfeld, LogRocket co-founder and CEO. “Customers don’t need more data, they need more actionable insights from their data. Our new Conditional Recording solution helps product teams understand what will positively impact their customers’ experience with powerful analytics, fueled by machine learning. This solution is the first and only of its kind to automatically arm our users with the key insights they can use to confidently and quickly improve their digital experience.” New Unified Qualcomm AI Stack Portfolio Revolutionizes Developer Access and Extends AI Leadership Across the Connected Intelligent Edge Qualcomm Technologies, Inc. announced Qualcomm® AI Stack portfolio, accelerating the company’s leadership in artificial intelligence (AI) and the Connected Intelligent Edge. Combining and improving its best-in-class AI software offerings, Qualcomm AI Stack is a comprehensive AI solution for OEMs and developers, supporting a wide range of intelligent devices with broad AI software access and compatibility. For the first time, a single AI software portfolio works across Qualcomm Technologies-powered devices, spanning the wide range of Connected Intelligent Edge products – including mobile, automotive, XR, compute, IoT, and cloud platforms. Qualcomm AI Stack supports different AI frameworks and popular run-times including TensorFlow, PyTorch and ONNX, developer libraries and services, system software, tools, and compilers so that any AI feature developed for one device can easily be deployed on others. “This comprehensive Qualcomm AI Stack portfolio is a truly revolutionary step in improving AI development for OEMs and developers and achieving high performance across our product portfolio,” said Ziad Asghar, vice president of product management, Qualcomm Technologies, Inc. “We’re delighted to extend our one technology roadmap with this new portfolio and expand our leadership in the Connected Intelligent Edge.” LakeFS Ushers In New Era of Data Management with lakeFS Cloud lakeFS , the technology that brings streamlined data lifecycle management and version control to data lakes, announced lakeFS Cloud, a fully managed SaaS version of its open-source technology. The new hosted version directly results from users who prefer a fully managed service instead of managing the lakeFS infrastructure themselves on their data lakes. lakeFS Cloud provides organizations with all the benefits and added peace of mind that comes with a SaaS solution, a value-add for enterprise users by request. lakeFS remains committed to its open-source version and robust community. The Saas solution is now available in AWS Marketplace. “Data engineers are struggling to keep data pipelines in good shape, a result of the sheer volume stored in data lakes combined with a lack of manageability tools,” said Einat Orr, Ph.D, Co-founder and CEO at lakeFS. “Companies are justifiably concerned about data quality, and the high cost of error associated with flawed data. Our new SaaS model delivers all the benefits of lakeFS by ensuring highly resilient, high quality data products, while providing a fully managed serverless experience.” CData Software Unveils CData Arc Cloud to Automate B2B Workflows in Minutes CData Software, a premier provider of data connectivity and integration solutions, introduced the CData Arc platform, enabling organizations to automate their B2B integration workflows in minutes and share data with partners both in the cloud with CData Arc Cloud and on premises with CData Arc, previously named CData ArcESB. “CData Arc Cloud is a modern cloud-first platform that dramatically simplifies B2B integration, a market segment that has traditionally suffered in terms of innovation and investment,” said Amit Sharma, CEO and founder of CData. “With Arc Cloud, we will make it easier for businesses to trade with their partners and integrate systems without worrying about infrastructure.” OpenText Powers the Information Advantage with Cloud Editions 22.2   OpenText™  (NASDAQ: OTEX), (TSX: OTEX), announced Cloud Editions 22.2 (CE 22.2) featuring new capabilities and innovations that enable businesses to be agile, responsive, and resilient in a time when disruption is accelerating. As a global leader in information management, OpenText is powering and protecting businesses to achieve the information advantage by being intelligent, connected, and responsible. “Businesses need to be prepared for the next wave of disruption,” said Mark J. Barrenechea, OpenText CEO & CTO. “Understanding that information is exponential and seizing this opportunity to address bigger issues such as sustainability, talent, compliance, supply chain disruption, and new rules of customer engagement with an information advantage is key. Digital fabrics are at the core of everything we do at OpenText. CE 22.2 provides organizations with comprehensive information management tools to achieve efficiency, growth and scale to drive sustained business value.” Incorta Announces Analytics Data Hub for Finance Incorta. , the platform for real-time operational analytics on raw business data, announced the launch of its Analytics Data Hub for Finance to enable IT organizations supporting finance teams to deliver financial and operational analytics with unmatched flexibility and speed. The solution introduces new finance data apps, support for new data sources and a component SDK built specifically for financial workstreams on the Incorta platform. Now available to all customers, the solution gives CFOs and finance teams a complete, end-to-end view of the latest business data in real time to drive faster, better and more informed decisions. “Today’s business environment creates an urgent need for real-time analysis of financial and operational data,” said Steve Walden, Incorta EVP of Business Development and Strategy. “The Incorta Analytics Data Hub for Finance reduces the distance from data sources to data-driven decisions with agile data pipelines optimized for financial analytics, shifting the focus from backward-looking reports and dashboards to real-time analysis and insight discovery.” Cinchy Advances Boundaries of Modern Data Architecture Again with New Dataware Release Cinchy, a dynamic tech disruptor dedicated to fundamentally changing the ways in which data is accessed, controlled, and operationalized, announced the release of Cinchy Dataware Platform v5.0, a major new version of its ground-breaking offering. Cinchy liberates data from applications using a data network, eliminating new data silos and the endless copies resulting from continuous, costly, and business-constraining data integration projects. The latest version features expanded scalability with the addition of open source Kubernetes and a PostgreSQL database option. “As a new technology category, dataware takes its rightful place alongside hardware and software by freeing data from applications and eliminating obstacles such as data silos and data integration,” said CTO of Cinchy, Karanjot Jaswal. “This is the vision Cinchy has brought to life, and the foundational advances in version 5.0 go even further: They enable the platform to scale to address the needs of the largest and most complex enterprises.” Revelator’s Data Pro to Deliver Business Intelligence for Independents Revelator is bringing full-on business intelligence to the independent music business with its insights platform, Data Pro. This BI product offers in-depth, cross-platform analysis of all major DSPs and UGC platforms such as TikTok and YouTube. Tailored to the needs of financial managers, data analysts, music marketers, and A&R managers, it helps clients uncover meaningful trends, pinpoint newly emerging audiences, and better understand how fan activity can affect their revenue. “Consumption and royalty data are often streaming into music businesses via two different, completely separate channels,” explains Revelator founder and CEO Bruno Guez. “Connecting these two datasets leads to deeper understanding of what exactly is shaping and driving their business. This is the access to data insights that’s been available to the major players in the music business, but never for the independent side of the music industry beyond a smattering of charts and graphs.” ACTO launches LAICA™, the first AI-powered conversational assistant for Life Sciences learning ACTO,  the complete commercial learning platform for the Life Science industry, announced the launch of  “LAICA™” , an artificial intelligence (AI)-powered conversational assistant, like a SIRI™, for Life Sciences learning. LAICA™ is a voice search assistant on the market that supports learning for Life Sciences commercial and medical affairs teams in real-time. LAICA™ helps pharmaceutical sales representatives and medical science liaisons (MSLs) learn in the flow of work with hands-free access to accurate clinical data in seconds. Powered by AI, LAICA™ uses voice recognition to answer questions a pharma sales rep or MSL has anytime, anywhere. With LAICA™, teams have easy access to a trusted source of medical, legal, and regulatory (MRL)-approved sales and clinical information to quickly get accurate answers to their questions in concise, digestible snippets. “The amount of information a pharma sales rep or MSL needs to know to educate and support health care practitioners with a new therapy is immense. Having quick, easy, and on-the-go access to trusted information through voice search is the solution. As such, the initial response to LAICA™ has been fantastic,” says Parth Khanna, CEO and Co-founder, ACTO. C3 AI and Google Cloud Partner to Optimize Supply Chains with Enterprise AI C3 AI (NYSE: AI), the Enterprise AI application software company, announced a new supply chain software product to address today’s disrupted global supply chains, developed through its partnership with Google Cloud. The C3 AI Supply Chain Suite improves on-time in-full customer delivery through better demand forecasting, optimized inventory and production, and supplier lead time visibility. “Our work with Google Cloud to create intelligent, highly resilient enterprise AI supply chain solutions has never been more important,” said Ed Abbo, president and chief technology officer of C3 AI. “Combining AI capabilities with cloud infrastructure and the data organization and orchestration power of Google Cloud’s  Supply Chain Twin  will give customers the ability to predict changes and react quickly in increasingly inflationary and dynamic labor and supply environments.” Spectra Logic Announces Enhancements to its Vail Data Management Software that Unlocks Access to Cloud Services, Automates Data Placement Across Multiple Clouds and Sites, and Streamlines Universal Sharing of Data Spectra Logic , a global leader in data management and data storage solutions, announced several enhancements to Spectra Vail ®, a multi-cloud data management software, that further enriches Vail’s ability to combine any storage into a single global namespace — delivering universal access and placement of data across multi-site and multi-cloud storage no matter where the data resides. Spectra Vail centralizes data management across on-premises and multi-cloud architectures, simplifying the access, sharing, usage and protection of data. “Today’s data-driven organizations are generating, sharing, and protecting petabytes of data both locally and in the cloud to solve some of the world’s biggest challenges,” said David Feller, Spectra Logic vice president of product management and solutions engineering. “Vail elegantly manages data globally, providing universal access and data placement while offering a seamless connection to multiple sites and clouds. Organizations can focus on the value and usage of data while still meeting corporate cloud-first directives and lowering total cost of ownership.” Comet Expands Alliances Across the Complete Machine Learning Lifecycle Comet , provider of a leading development platform for machine learning (ML) teams from startup to enterprise, announced several integrations – including Ray, Kubeflow, and Google Vertex AI – that will eliminate complexity, provide optionality, and bolster scalability across the entire machine learning lifecycle. These integrations deliver on Comet’s commitment to providing a ML platform that allows data scientists and ML practitioners to use the best tools and frameworks available for their use cases, industries, and business challenges from experimentation through production. Comet’s unique approach to integration comes at a time when more organizations are pursuing the promise of artificial intelligence (AI) while their development teams are increasingly encountering friction between tools and among teams. This friction is the result of a rapidly evolving MLOps technology landscape and the lack of processes that support the burgeoning needs of companies looking to generate value from AI. “The majority of ML platform teams out there are trying to figure out how to assemble an end-to-end MLOps stack that fits their needs,” said Gideon Mendels, CEO and co-founder of Comet. “With different use cases, dependencies on existing tools, and an increasing number of vendors, that is a very challenging task. Comet is the only modular solution that allows these teams to use their desired tools while still providing a unified user experience to ML practitioners. We do this by providing built-in integrations to support features, like our code panels, that extend practitioners’ visibility across the ML lifecycle.” Tray.io Cracks the Code on Hyperautomation for the Enterprise Tray.io , a leader in low-code automation and integration, announced new capabilities designed to accelerate enterprise hyperautomation initiatives. Tray.io is extending end-to-end connectivity across user types with Connector Builder where low-code developers can quickly, easily, and visually develop reusable connectors on demand. Additionally, a new Connectivity API experience for developers simplifies the integration of thousands of underlying endpoints into just three API calls. The company also introduced new frameworks and features that give users the ability to build complex integrations across teams with the speed and governance required to increase enterprise velocity at scale. “High-velocity automation with airbags is the best way to describe what Tray.io is bringing to customers in our latest product release,” said Rich Waldron, CEO and co-founder, Tray.io.“Point-to-point integration products often lack the global governance, collaboration, and controls enterprises need to meet IT demands. Meanwhile, monolithic legacy products require complex, developer-only SDKs that crush automation velocity when teams hit inevitable connectivity roadblocks. Companies crack the code on hyperautomation when they can sustainably scale it, teams can build new connectors on demand using low-code, and developer productivity increases.” Sign up for the free insideBIGDATA  newsletter . Join us on Twitter: @InsideBigData1 – https://twitter.com/InsideBigData1

ASAPP Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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ASAPP Rank

  • When was ASAPP founded?

    ASAPP was founded in 2014.

  • Where is ASAPP's headquarters?

    ASAPP's headquarters is located at One World Trade Center, New York.

  • What is ASAPP's latest funding round?

    ASAPP's latest funding round is Series C.

  • How much did ASAPP raise?

    ASAPP raised a total of $312.57M.

  • Who are the investors of ASAPP?

    Investors of ASAPP include March Capital Partners, Emergence Capital, John Doerr, HOF Capital, John Chambers and 10 more.

  • Who are ASAPP's competitors?

    Competitors of ASAPP include i2x, Observe.ai, Cresta, Uniphore, Cyara, Minerva, Recurrent AI, Forethought, Cogito, Intradiem and 24 more.

  • What products does ASAPP offer?

    ASAPP's products include ASAPP Platform and 4 more.

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