Deepslate Secures €7.7M: Pioneering Direct Speech AI for European Enterprise
October 7, 2026, 3:32 pm
Deepslate, a Berlin-based voice AI innovator, recently secured €7.7 million in seed funding. This capital fuels its mission. The company pioneers advanced speech-to-speech AI. It processes spoken language directly. This approach eliminates traditional text conversion. It significantly reduces latency. It uniquely preserves critical vocal nuances. Tone, emphasis, and dialect remain intact. Deepslate's technology is built for European languages. It operates entirely within the EU. This ensures robust data sovereignty. The funding round was led by 42CAP. Alstin Capital and SIVentures also participated. Business angels contributed. Deepslate plans extensive model training. It will expand its European data program. German dialects are a key focus. Sales and marketing teams will grow. Production infrastructure in European data centers will scale. Deepslate is poised to revolutionize enterprise voice interactions. It offers superior, secure, and nuanced AI communication solutions.
Berlin's Deepslate announced a significant seed funding round. It secured €7.7 million. This investment positions Deepslate as a key player. The company innovates in voice AI. Its technology stands apart. It processes spoken language directly. Text conversion is unnecessary. This direct approach redefines voice interaction. Deepslate, founded in 2025 by Paskal Paesler and Jan Brachthäuser, aims to lead in the European voice AI market.
Conventional voice AI faces limitations. It converts speech to text first. Then a language model processes it. Finally, text converts back to speech. This multi-step process adds delay. It loses vital vocal information. Tone, emphasis, and dialect often vanish. Deepslate bypasses these steps. It employs an end-to-end model. Audio enters, audio exits. Latency drops dramatically. Crucial speech characteristics remain. This ensures more natural and effective communication.
Deepslate's system uses proprietary components. Three elements form its core. A speech encoder begins the process. A reasoning core follows. This core builds on an open-weights language model. Deepslate post-trains it for specific European languages. A speech decoder generates the final spoken response. This architecture offers flexibility. The underlying language model can change. The entire system avoids extensive retraining. This adaptability is key for future AI development.
Performance metrics validate Deepslate's innovation. An independent Artificial Analysis benchmark tested its model. It recorded a swift response time of 440 milliseconds. This made it the fastest speech-to-speech model measured. This benchmark was current as of September 2026. The company also excels in accuracy. Its technology achieved the best error rate. This was for European languages. It topped the CoVoST2 benchmark comparison field. Such performance highlights its competitive edge.
Deepslate emphasizes data sovereignty. It is a critical prerequisite for many customers. The company provides full transparency. It discloses computing locations. Subprocessors are openly named. Its technology resides entirely within the European Union. This commitment builds trust. It serves a market demanding robust data control. Deepslate is also ISO 27001 certified. This further demonstrates its stringent security focus. Data integrity defines its service.
The technology is already in production. Insurers utilize its advanced capabilities. Contact centers benefit from improved, nuanced interactions. Various platforms integrate the system for enhanced user experience. Deepslate offers flexible access. A self-service platform is available. A robust API facilitates seamless integration. Enterprise clients have tailored options. Volume licensing and self-hosting are provided. This caters to diverse business needs and scales effectively.
The funding round reflects strong investor confidence. Munich-based technology investor 42CAP led the investment. It now holds approximately 17% of Deepslate. Alstin Capital also participated, securing an 11% stake. Existing investor SIVentures increased its stake to around 7%. Several prominent business angels joined the round. This group includes Roland Fassauer, Feliks Eyser, Jonas Suedfels, Richard Lohwasser, and Kyung-Hun Ha. This diverse investor base provides strategic support for Deepslate's growth trajectory.
Deepslate has clear plans for the new capital. It will expand its model training. A comprehensive European data program will grow significantly. A specific focus targets German languages. Street names, personal names, and regional dialects are key priorities. The goal is enhanced accuracy and conversational nuance. The company also aims for further latency reduction. Continuous voice quality improvement remains a core objective. This commitment drives innovation.
Operational scaling is also underway. Deepslate will strategically grow its sales teams. Marketing efforts will expand significantly across Europe. Production infrastructure will receive substantial investment. European data centers will host this expansion. This prepares for increasing call volumes. Deepslate is building for robust, future demand. It aims for reliable service delivery at scale.
Deepslate is transforming voice AI interaction for businesses. It offers unmatched speed, vital nuance, and robust security. Its direct speech processing is a technological breakthrough. This advanced approach promises more natural conversations. It delivers greater operational efficiency for enterprises. The strategic focus on European languages is clear. Data sovereignty distinctly defines its operations. Deepslate is not merely a startup. It is a vanguard in next-generation, secure, and intelligent voice AI solutions. Its impact on enterprise communication will be significant.
Berlin's Deepslate announced a significant seed funding round. It secured €7.7 million. This investment positions Deepslate as a key player. The company innovates in voice AI. Its technology stands apart. It processes spoken language directly. Text conversion is unnecessary. This direct approach redefines voice interaction. Deepslate, founded in 2025 by Paskal Paesler and Jan Brachthäuser, aims to lead in the European voice AI market.
Conventional voice AI faces limitations. It converts speech to text first. Then a language model processes it. Finally, text converts back to speech. This multi-step process adds delay. It loses vital vocal information. Tone, emphasis, and dialect often vanish. Deepslate bypasses these steps. It employs an end-to-end model. Audio enters, audio exits. Latency drops dramatically. Crucial speech characteristics remain. This ensures more natural and effective communication.
Deepslate's system uses proprietary components. Three elements form its core. A speech encoder begins the process. A reasoning core follows. This core builds on an open-weights language model. Deepslate post-trains it for specific European languages. A speech decoder generates the final spoken response. This architecture offers flexibility. The underlying language model can change. The entire system avoids extensive retraining. This adaptability is key for future AI development.
Performance metrics validate Deepslate's innovation. An independent Artificial Analysis benchmark tested its model. It recorded a swift response time of 440 milliseconds. This made it the fastest speech-to-speech model measured. This benchmark was current as of September 2026. The company also excels in accuracy. Its technology achieved the best error rate. This was for European languages. It topped the CoVoST2 benchmark comparison field. Such performance highlights its competitive edge.
Deepslate emphasizes data sovereignty. It is a critical prerequisite for many customers. The company provides full transparency. It discloses computing locations. Subprocessors are openly named. Its technology resides entirely within the European Union. This commitment builds trust. It serves a market demanding robust data control. Deepslate is also ISO 27001 certified. This further demonstrates its stringent security focus. Data integrity defines its service.
The technology is already in production. Insurers utilize its advanced capabilities. Contact centers benefit from improved, nuanced interactions. Various platforms integrate the system for enhanced user experience. Deepslate offers flexible access. A self-service platform is available. A robust API facilitates seamless integration. Enterprise clients have tailored options. Volume licensing and self-hosting are provided. This caters to diverse business needs and scales effectively.
The funding round reflects strong investor confidence. Munich-based technology investor 42CAP led the investment. It now holds approximately 17% of Deepslate. Alstin Capital also participated, securing an 11% stake. Existing investor SIVentures increased its stake to around 7%. Several prominent business angels joined the round. This group includes Roland Fassauer, Feliks Eyser, Jonas Suedfels, Richard Lohwasser, and Kyung-Hun Ha. This diverse investor base provides strategic support for Deepslate's growth trajectory.
Deepslate has clear plans for the new capital. It will expand its model training. A comprehensive European data program will grow significantly. A specific focus targets German languages. Street names, personal names, and regional dialects are key priorities. The goal is enhanced accuracy and conversational nuance. The company also aims for further latency reduction. Continuous voice quality improvement remains a core objective. This commitment drives innovation.
Operational scaling is also underway. Deepslate will strategically grow its sales teams. Marketing efforts will expand significantly across Europe. Production infrastructure will receive substantial investment. European data centers will host this expansion. This prepares for increasing call volumes. Deepslate is building for robust, future demand. It aims for reliable service delivery at scale.
Deepslate is transforming voice AI interaction for businesses. It offers unmatched speed, vital nuance, and robust security. Its direct speech processing is a technological breakthrough. This advanced approach promises more natural conversations. It delivers greater operational efficiency for enterprises. The strategic focus on European languages is clear. Data sovereignty distinctly defines its operations. Deepslate is not merely a startup. It is a vanguard in next-generation, secure, and intelligent voice AI solutions. Its impact on enterprise communication will be significant.