EMO Technologies

EMO Technologies

Develops solutions that use emotional intelligence to identify customer intent.

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DateInvestorsAmountRound
N/A

€0.0

round

SGD1.2m

Seed
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2020202120222023
Revenues0000000000000000
EBITDA0000000000000000
Profit0000000000000000
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Dealroom estimates

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More about EMO Technologies
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EMO Technologies, operating as intent.ai, is a data monetization firm established in the United States in 2018 by founder Venky Balakrishnan Iyer and co-founder Alexander Smbatyan. The company has since expanded its operations to include a presence in the USA, Taiwan, and Armenia.

The core of intent.ai's business is a behavioral marketing platform that collaborates primarily with telecommunication operators. Its business model revolves around analyzing technical logs from mobile networks using machine learning to create detailed, anonymized subscriber profiles. These profiles include inferred data points such as age, gender, interests, online behaviors, and application usage, which are then used for targeted advertising and financial credibility scoring. The company generates revenue through a pay-as-you-go model, allowing businesses of various sizes to utilize its ad technology. A key aspect of its operations is a focus on data privacy, ensuring its processes are GDPR compliant by anonymizing and minimizing the data processed.

The platform offers advertisers a suite of tools for precise audience segmentation without relying on cookies. Advertisers can target users of specific apps, visitors of particular websites, and create custom audience segments based on numerous interests and attributes. The service provides advanced reporting and the ability to manage ad placements across various display advertising platforms through a single account. For its telecom partners, intent.ai aims to unlock new revenue streams from existing data infrastructure. The platform reports high accuracy, with gender classification at 87% and age deviation within a three-year range.

Keywords: data monetization, telecom analytics, behavioral targeting, mobile advertising, ad-tech, subscriber profiling, machine learning, data analytics, lead generation, audience segmentation, GDPR compliant, credibility scoring, mobile operator solutions, customer intelligence, digital advertising platform, targeted marketing, data-driven advertising, user acquisition, ad campaign optimization, behavioral analytics

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