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aquant.io

Founded Year

2016

Stage

Series C | Alive

Total Raised

$112.6M

Last Raised

$70M | 10 mos ago

About Aquant

Aquant develops AI and machine learning technology to address the problem of machinery downtime that troubles service companies. Aquant's technology is able to locate potential failures at levels that are difficult to predict.

Aquant Headquarter Location

147 West 24th Street 4th Floor

New York, New York, 10011,

United States

917-960-7010

ESPs containing Aquant

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

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER
Consumer & Retail / Digital Engagement

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.

Aquant named as Challenger among 14 other companies, including Calabrio, Unbabel, and Observe.ai.

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Expert Collections containing Aquant

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

Aquant is included in 2 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

9,093 items

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

C

Customer Service Tech

645 items

Companies offering technology-driven solutions to enable, facilitate, and improve customer service across industries. This includes solutions pre, during, and post purchase of goods and services.

Latest Aquant News

Salesforce upgrades marketing, field service, and sales tools with AI

Apr 6, 2022

Today, timed with a conference out of Sydney, Australia, Salesforce announced new analytics-powered features across its Service and Marketing Cloud suites designed to “‘humanize’ engagement between companies and their customers.” While that might be overpromising, the new and updated tools aim to — in Salesforce’s words — simplify processes like conversing with customers and reconciling disparate marketing data. “With these latest innovations, Salesforce is exploring how combining marketing and customer service solutions can help global brands pivot to direct-to-consumer and strengthen customer relationships as they navigate social and economic uncertainty, heightened customer expectations and an evolving hybrid working world,” a spokesperson told TechCrunch via email. “These technologies help service teams and marketers create more personalized experiences that drive lifelong customer relationships.” On the Service Cloud side, Salesforce is introducing Einstein Conversation Mining, an AI-powered system that analyzes customer conversations to identify spikes or trends in “service interactions” (think emails and text messages). The idea is to enable service managers to better train agents to handle complex problems while deflecting cases, or reducing handle time, by automating parts of the interaction via a bot. Einstein Conversation Mining — powered by Einstein, Salesforce’s internal data science ecosystem — fits into a trend that accelerated during the COVID-19 pandemic: the adoption of customer conversation analytics. Facing increasing service call volumes and staffing shortfalls, companies turned to AI-powered platforms in an effort to identify common customer issues. According to a 2021 Informs Connect survey , AI is a high priority for 83% of call centers, with 54% of executives attesting to its effectiveness to increase productivity. Somewhat relevant to the topic, Sales Cloud is also gaining new connectors from third-party vendors that incorporate customer data, enabling companies to automate call notes and provide customer service agents with real-time suggestions. Among the connectors is a simpler integration with AWS Contact Lens for Service Cloud Voice with Amazon Connect, which brings call transcription and sentiment analysis. Eagle-eyed readers will recall that Amazon Connect began supporting integration with Service Cloud Voice in July 2020, the same year that Contact Lens became generally available. Salesforce’s sentiment analysis technology for voice calls. With the new connectors, a service agent at a retailer can receive recommendations on the next-best actions to process a return or upsell a warranty, Salesforce says. Or, they can follow customer conversation trends to spot product feedback and manage agents based on keywords. Tracking anonymous profiles Through (and thanks to) related upgrades, Marketing Cloud now supports Streaming Insights and Data Actions, which aim to capture near-real-time data signals — like a new customer, a recent product transaction, or payment issue — to trigger workflow events. Another new capability, Advanced Identity Resolution, leverages AI to match and merge customer data like duplicated fields or records with names that have multiple spellings or that are frequently shortened to nicknames (e.g., “Sam” and “Samantha”). They’re on-trend features. Marketers, surveys show, are embracing automation, with as much as 63% planning to increase their marketing automation budgets in the near future, according to an Invespcro report . (That’s with the understanding, of course, that “automation” is a broad term.) Social Media Today estimates that three-quarters of all companies were using at least one marketing automation as of 2019. Identity resolution in action. “The advanced identity resolution solution is composed of two parts: matching and reconciliation,” Salesforce SVP  of product marketing Bobby Jania and VP of product marketing Brenda Brown explained to TechCrunch via email. “Our solution creates a unified profile that links together the original profiles so that the original data is preserved. [An] identity graph links these together, allowing for source systems to easily query the unified profiles based on the original data ingested, regardless of the reconciliation process, and vice versa … [The solution] also brings fuzzy match into the picture allowing for records with misspelled names, nicknames, [and more] from different systems to be matched automatically … [Finally,] along with fuzzy match, we’re also now providing normalized email, phone and address match. This helps match records which are not standardized prior to identity resolution, leading to improved consolidation rates as equally normalized data is matched together.” More significantly, Marketing Cloud now features Anonymous Profiles, which can track anonymous people in a customer data platform until — as Salesforce explains — the “unidentified data merges with the known customer.” It’s a pushback, in a way, to the movement against customer data tracking spearheaded by consumer advocacy groups, which seeks to make a reasonable degree of anonymity the norm on the web. A screenshot showing the anonymous profiles feature. Jania and Brown clarified: “Anonymous profiles refer to profiles that are absent of any personally identifiable information (e.g., name, email, phone and address data) and therefore are tagged as anonymous. [T]hese are first-party anonymous profiles — i.e., profiles of visitors who come to a company’s website and the company has generated a first-party cookie to track them. They are not third-party cookie identities. We do track fully the anonymous behavioral data tied to each anonymous profile. If, and when, that person identifies themselves, we take all that data and merge it into the known profile where additional enrichment and combination with other data sources is possible.” Virtual service calls Elsewhere in the Salesforce portfolio, workers using the Salesforce Field Service App for in-person service can now pull up records offline (e.g., personalized work plans, flows and safety checklists), which oddly wasn’t possible before. When not physically present, they can provide virtual service through Visual Remote Assistant, a new feature that gives customers the option to schedule virtual support sessions with augmented reality (AR) from their phone. Salesforce writes: “For example, customers can schedule an appointment with an appliance technician to visually show what is going on with their dishwasher, and the technician can point, draw on the screen, and otherwise direct the customer on how to solve the problem in real-time on their own.” “Consumers will be able to pre-schedule a virtual session through our Field Service Appointment Assistant product. People welcoming a service person into their home or business receive updates and notifications about their service session through Appointment Assistant,” Jania and Brown said. “Another way that consumers will have the option for a virtual session is through customer portals, or Experience Cloud products. Our customers will be able to embed the option for consumers to either initiate, or schedule a virtual session via the portal. We expect that contractors providing service in the field who interact with an HQ through a portal would also use this feature to get connected with a subject-matter expert.” The enhanced service experience. The market for AI- and AR-driven virtual service apps has expanded substantially in recent years, with companies such as CareAR, TechSee , Aquant and Neuron7 competing for dominance. As customers eschew in-person calls for video conferencing — at least when it comes to equipment servicing — the industry could grow further. That’s surely the bet Salesforce is making.

Aquant Web Traffic

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Aquant Rank

  • When was Aquant founded?

    Aquant was founded in 2016.

  • Where is Aquant's headquarters?

    Aquant's headquarters is located at 147 West 24th Street, New York.

  • What is Aquant's latest funding round?

    Aquant's latest funding round is Series C.

  • How much did Aquant raise?

    Aquant raised a total of $112.6M.

  • Who are the investors of Aquant?

    Investors of Aquant include Lightspeed Venture Partners, Angular Ventures, Insight Partners, Qumra Capital, Pitango Venture Capital and 5 more.

  • Who are Aquant's competitors?

    Competitors of Aquant include i2x, Observe.ai, Cresta, Cyara, Cogito, Intradiem, MaestroQA, Pryon, Calabrio, CareAR and 19 more.

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