Snips is a technology company.
Snips has raised $16.0M across 2 funding rounds.
Key people at Snips.
Snips was founded by Rand Hindi (Co-founder & CEO).
Snips has raised $16.0M in total across 2 funding rounds.
Key people at Snips.
Snips was founded by Rand Hindi (Co-founder & CEO).
Snips has raised $16.0M in total across 2 funding rounds.
Snips's investors include Altari Ventures, Amazon Alexa Fund, Azimuth Ventures, Broadway Angels, Eclipse Ventures, ENIAC Ventures, Factorial, ff Venture Capital, Flybridge Capital Partners, IPD Capital, Alex Tang, Blake Mycoskie.
# Snips: Privacy-First Voice AI for Connected Devices
Snips is an artificial intelligence voice platform that enables offline, privacy-preserving conversational interfaces for connected devices.[1][3] Founded in 2013 and based in Paris, France, the company developed an end-to-end solution combining speech recognition and natural language understanding, allowing developers and enterprises to embed customizable voice assistants directly into products without transmitting voice data to the cloud.[1][3] The company raised $21.95M in total funding before being acquired by Sonos in 2019.[1]
Snips addressed a critical gap in the voice AI market: the tension between functionality and privacy. While cloud-based voice assistants like Alexa, Siri, and Cortana dominated consumer markets, they required constant internet connectivity and sent user data to remote servers. Snips positioned itself as the alternative for use cases where data privacy, offline operation, and device autonomy were paramount—particularly in healthcare, finance, and home automation.[2][3]
Snips was founded in 2013 by Mael Primet, Michael Fester, and Rand Hindi, emerging from a recognition that the prevailing model of voice interaction was fundamentally unsustainable.[3][4] Co-founder and CEO Rand Hindi articulated the founding vision: "We realised a few years back that the way we interact with technology simply won't work with hundreds of billions of devices."[3] The team believed that embedding AI directly into devices while protecting privacy would eliminate friction from technology use, allowing humans to interact with their environment without constant conscious engagement.
Early development faced technical hurdles in perfecting natural language understanding and minimizing latency in voice processing.[2] However, the founders' focus on edge-based computing—processing voice data locally on devices rather than in the cloud—became their defining innovation. This architectural choice aligned with emerging concerns about data privacy and the practical limitations of cloud-dependent systems in environments with poor connectivity.
Snips emerged during a pivotal moment when voice interfaces were becoming ubiquitous, yet privacy concerns about always-listening devices were intensifying. The company rode the wave of edge computing adoption—a trend driven by the need for faster processing, reduced latency, and greater data sovereignty as billions of IoT devices proliferated.
The timing was strategic: as regulatory frameworks like GDPR tightened data protection requirements, and as consumers grew skeptical of cloud-based surveillance, Snips' privacy-first approach gained relevance across industries. The company influenced the broader ecosystem by demonstrating that sophisticated AI capabilities could operate locally, challenging the assumption that advanced voice AI required centralized cloud processing. This helped legitimize edge AI as a viable alternative to cloud-dependent models.
Snips' acquisition by Sonos in 2019 signaled the market's validation of on-device voice technology, particularly as smart speaker manufacturers sought to reduce reliance on third-party cloud services and differentiate through privacy features.
Snips represented a prescient bet on privacy-preserving AI at a moment when the industry was consolidating around cloud-centric models. Though the company was acquired rather than scaling independently, its core insight—that edge-based voice AI could deliver both capability and privacy—has only grown more relevant. The broader tech ecosystem continues to shift toward on-device processing, federated learning, and privacy-respecting AI architectures, validating the vision Snips pioneered over a decade ago.
Snips has raised $16.0M across 2 funding rounds. Most recently, it raised $13.0M Series A in June 2017.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2017 | $13.0M Series A | Altari Ventures, Amazon Alexa Fund, Azimuth Ventures, Broadway Angels, Eclipse Ventures, ENIAC Ventures, Factorial, ff Venture Capital, Flybridge Capital Partners, IPD Capital, Alex Tang, Blake Mycoskie, Francisco Larrain | |
| Jun 1, 2015 | $3.0M Seed | Altari Ventures, Amazon Alexa Fund, American Express Ventures, Astanor Ventures, Azimuth Ventures, Balderton Capital, Broadway Angels, Eclipse Ventures, ENIAC Ventures, Factorial, ff Venture Capital, Firstminute Capital, Flybridge Capital Partners, General Catalyst, Tom Hulme, IPD Capital, Kima Ventures, Slow Ventures, Alex Tang, Blake Mycoskie, Francisco Larrain, Peter Read, Sherry Coutu |
