Key facts
- Helix raised $6 million in a round led by Chicago Ventures, with BAM Ventures, Aglaé Ventures and others participating.
- Siri co-founder Dag Kittlaus backed Helix and will act as an advisor, according to TechCrunch.
- Helix says its model runs locally even on an iPhone 13, keeping deployment costs minimal.
- Helix said Zeel, an in-home healthcare provider, uses its technology to verify providers' identities.
- CEO Alex Oberg said Helix's technology cannot reliably detect lying or identify individual speakers.
- Helix believes its technology cannot yet reliably detect AI agents during live calls.
Helix, a startup founded in 2025, has raised $6 million in a funding round led by Chicago Ventures, with BAM Ventures, Aglaé Ventures, Corazon Capital, Tusk Ventures, Yonder Ventures, Rule30 and Brown Alumni Group also participating, TechCrunch reported on November 11, 2026. Siri co-founder Dag Kittlaus backed the company and will act as an advisor.
The company says its voice technology can run directly on a user's device to determine whether someone is human and estimate their age, and can replace or supplement CAPTCHA, the test websites use to tell users from bots. Helix said that because its model runs locally even on an iPhone 13, the cost of deploying the technology is minimal. It said one customer, in-home healthcare provider Zeel, uses the technology to verify the identities of providers visiting customers' homes.
Helix was founded by Alex Oberg, Anna Dorofiyenko and Mike Hall. Oberg previously worked at Ticketmaster, which acquired his startup, and played a role in creating Verified Fan, a system designed to keep bots off the platform. Dorofiyenko led data science teams at Live Nation and Zillow, and Hall worked at Nike and Tinder, where he helped develop the initial matching algorithm.
Oberg said advances in AI are making it harder to tell who is human online. "Identity on the Internet's always been about proxies for identity, right?" he said, listing email, phone number, IP address and device identifiers. He said the industry needs to rely on biometric signals such as voice.
Oberg also said age-verification rules for social media platforms are forcing users to trade privacy for access, and that Helix's four-second voice challenge offers an alternative. He said the technology cannot reliably detect whether someone is lying, does not identify individual speakers, and that a stored voiceprint cannot be used to reconstruct a person's voice. Helix believes the technology is not yet capable of reliably detecting AI agents during live calls.
Kittlaus said voice identification technology has reached a point where it works reliably and that Helix's work to compress its models gives it a cost advantage. "What folks at Helix are doing is, instead of teaching computers how to understand speech, these guys are understanding, what the speech of the speaker actually means," he told TechCrunch.