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Helix Raises $6.2 Million for On-Device Human Verification

Siri co-founder Dag Kittlaus will advise the startup as it tests voice analysis for age estimates and possible signs of distress or intoxication.

An anonymous hand holds a smartphone near a quiet doorway / TokenPost.ai
An anonymous hand holds a smartphone near a quiet doorway / TokenPost.ai

Helix raised $6.2 million, and Siri co-founder Dag Kittlaus will advise the startup as it develops voice-based human verification that can run on consumer devices.

Chicago Ventures led the funding round. BAM Ventures, Aglaé Ventures, Corazon Capital, Press On Ventures, Tusk Ventures, Yonder Ventures, Rule 30 and Brown Angel Group also invested.

Helix says its software can assess whether a speaker is human and estimate the speaker’s age. The company says the model runs locally, including on an iPhone 13. It is designed to replace or supplement CAPTCHA checks to help block bot attacks.

Helix CEO Alex Oberg said the system does not identify individual speakers, though it can verify that speakers are unique humans. Helix says in-home health care provider Zeel uses the technology in a process for verifying providers who visit customers’ homes.

The startup is also running pilots to test whether voice analysis can reveal signs of conditions such as intoxication or distress. Oberg said the system cannot reliably determine whether someone is lying. Helix also considers the technology not yet reliable for detecting AI agents during live calls.

Oberg has framed voice checks as a possible response to age-verification rules on social platforms. He argues that such requirements can pressure users to give up privacy in exchange for access, and has described Helix’s check as a four-second voice challenge.

Oberg launched Helix in 2025 with Anna Dorofiyenko and Mike Hall. He previously worked at Ticketmaster, which acquired a startup he had built. Dorofiyenko led data science teams at Live Nation and Zillow, while Hall worked at Nike and Tinder and helped build Tinder’s initial matching algorithm.

Kittlaus said voice-identification technology has reached a level of reliability that could support wider adoption. He also pointed to Helix’s work compressing its models as a potential cost advantage.

John Kim

John Kim reports on the digital-asset business for TokenPost. Send corrections or tips to info@tokenpost.com.

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