Bridge Neurotech

Bridge Neurotech (Redwood City): non-invasive BCI startup using functional ultrasound imaging with AI decoding; emerged from stealth Oct 6, 2026 with $13.5M in funding and a Butterfly Network partnership.

Bridge Neurotech (Redwood City, founded 2026) is building a fully non-invasive BCI: functional ultrasound imaging (fUSI) of brain activity through the skull, decoded with AI models. The bet is that ultrasound avoids the resolution, reliability and power weaknesses of earlier non-invasive modalities while needing no surgery or implant.

Status (October 2026)

Per the founder’s letter and Butterfly Network’s press release:

  • emerged from stealth on Oct 6, 2026

  • raised $13.5 million led by reMind Capital and General Catalyst, joined by Sunflower Capital and Scott Sandell

  • research and development agreement with Butterfly Network (NYSE: BFLY) through Butterfly Embedded: Bridge licenses Butterfly’s Ultrasound-on-Chip technology; the multi-year agreement includes payments to Butterfly for technology access and development milestones plus commitments to purchase Butterfly hardware

  • first human research study is enrolling in Redwood City: adults who have had a cranioplasty with a PEEK or Longeviti implant, and healthy adults 18 and older

  • Founder’s letter (Will Biederman, Oct 2026): 01

  • Butterfly Network press release (Oct 6, 2026): 02

Founder

Will Biederman, PhD. In his own account in the letter: as a PhD student at Berkeley he developed the neural interface chip that Neuralink used for its first implants; he then spent almost a decade at Verily and Google, and co-founded Forest Neurotech, where he led development of a miniaturized functional ultrasound imaging device used to image the human brain. Forest Neurotech has since been renamed Arbor Neuroscience (the organization’s own site, forestneurotech.org: “Arbor Neuroscience is the new name for Forest Neurotech”, verified 2026-10-23).

What to watch

  1. Through-skull imaging quality: the skull scatters and absorbs sound differently per person, which the company names as its core technical challenge.
  2. Whether the first study produces published decoding results in humans.

Source index

References, research and company reports.