Speechly

Speechly

Creates voice interfaces for professional tools and services using deep learning and natural language processing technologies.

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DateInvestorsAmountRound
-investor investor investor

€0.0

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investor

€0.0

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investor investor investor investor investor investor investor

€0.0

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investor investor

€0.0

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N/A

Acquisition
Total Funding000k

Financials

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues0000000000000000000000000000
% growth-10 %32 %28 %213 %8 %155 %
EBITDA0000000000000000000000000000
% EBITDA margin---(239 %)(94 %)(72 %)-
Profit0000000000000000000000000000
% profit margin(22 %)(208 %)(503 %)(508 %)(217 %)(110 %)-
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

Source: Company filings or news article, Dealroom estimates

More about Speechly
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Speechly is a technology company specializing in voice interface APIs that enable fast, accurate speech-to-text and natural language understanding functionalities for web and mobile applications. The company serves developers and businesses looking to integrate voice capabilities into their user interfaces. Operating in the voice technology market, Speechly provides its services through a simple API, which can be easily integrated using ready-made client libraries. The business model is primarily B2B (business-to-business), where revenue is generated through API usage fees and subscription plans.

Speechly's core offering includes speech-to-text conversion and natural language understanding, which can be customized with a small amount of training data. This makes it accessible for a wide range of applications, from customer service bots to voice-activated controls in smart devices. The company aims to simplify the integration process, allowing clients to enhance their user interfaces with minimal effort.

Keywords: Voice Interface, API, Speech-to-Text, Natural Language Understanding, Web Apps, Mobile Apps, Machine Learning, Client Libraries, B2B, Technology.

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