Between Labs

A BCI research lab for the moment after medicine

Solve the transmission of experience. Today, no one can know what another person feels. We think that can change.

Brain-computer interfaces are medical devices today. They won’t stay that way. Between Labs studies how a touch or a feeling could pass from one person’s brain to another’s.

01Mission

Every medium we have carries sight and sound.

Writing, the telephone, film, the screen. All of it reaches us through the eyes and ears. A touch stays with the person who felt it. So does the mood of a room.

A brain-computer interface could carry more. The hard part is translation. No two brains encode the same experience the same way, so a pattern recorded in one person means little to another until it has been translated.

We call this the transmission of experience. It will take years of careful science to solve, and we intend to do it in the open. We will publish what we find, including what fails.

Our mission

Solve the transmission of experience, then use it to close the distance between minds.

02The moment after medicine

The research has to exist before the devices do.

Implanted interfaces already let people with paralysis control a computer, and in recent trials, speak again through a synthesised voice. Restoring function is the right place for this technology to start.

Sooner or later these devices will matter to people who aren’t patients. We call that point the moment after medicine.

When it arrives, one of the most important things an interface could do is let two people share what something is like. Getting that science right, along with the rules around it, will take years. We have started.

Timeline
We expect interfaces to move beyond the clinic within ten to fifteen years.
Who we work with
Device makers now. Platforms and experience companies later.
Hardware
Our partners build the devices. We build the models and software that run on them.
03Research

What we are building

The work has three parts. The first needs no surgery and starts with data that already exists.

Part 1 · Rosetta

A translation layer between brains

Models that map one person’s brain activity onto another’s, so an experience recorded in one brain can be read in the terms of another. The same models could cut the calibration every new interface user sits through today.

Part 2 · Transmission

A stack for writing it back

Software that turns a decoded experience into stimulation a second person can feel, tuned to how their brain responds. It runs on implants and devices made by our partners.

Part 3 · Rules

Constraints inside the system

Who can send and what gets kept are engineering decisions here. The four rules are below.

1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 PERSON A SHARED SPACE PERSON B 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 PERSON A SHARED SPACE PERSON B
Fig. 2Two people encode the same eight experiences differently. Rosetta learns a shared space both can be mapped into. One experience is highlighted.
04Milestones

Three results, in order

Each one has a pass bar, set in writing with independent reviewers before any data comes in. Null results get published too.

  1. M1 · ReadingPartly shown

    Cross-brain reading

    From one person’s brain activity alone, can a shared model tell which of several new experiences a second person had?

    Where it standsShared models across people have been shown in fMRI for visual categories1 and for language.2 Nobody has shown it for touch or emotion yet. No stimulation is needed.

  2. M2 · TouchEarly

    A felt message

    Can a touch felt by one implanted participant be rendered through a second participant’s own stimulation map, and identified by them in a blind test above chance?

    Where it standsStimulating human somatosensory cortex produces touch sensations felt at specific points on the hand.3 Participants who tuned their own stimulation could match sensations to objects above chance without visual cues.4 Direct links between brains have so far carried single bits.5,6 As far as we know, no one has yet passed a percept from one person to another.

  3. M3 · FeelingOpen

    A received feeling, verified

    Can a calibrated state in one person, such as calm, be induced in another more reliably than a sham, with the receiver able to tell it came from someone else?

    Where it standsMood can be decoded from intracranial recordings within a person.7 The effect of stimulation depends on the state a person is in at the time.8 Focused ultrasound can change activity in human sensory cortex without surgery.9 Passing a state between people, and knowing it was received, are still open.

Reading the brain will likely move at the speed of machine learning. Writing to it moves at the speed of clinical trials. That is why the first milestone stands on its own. There is also a serious argument that a brain can’t take in much more than language already gives it. We think that is worth testing.10

Opening study, planned: Rosetta without stimulation

Question
Does a shared model beat per-person models at identifying new, naturalistic experiences across people, and does that hold beyond vision and language?
Phase A
Re-analysis of open fMRI datasets, with held-out stimuli and held-out people.
Phase B
24 to 30 adults, with a university partner and ethics approval. Shared alignment material first, then new clips across vision, sound, vibrotactile touch and emotionally rated film.
Standard
Pre-registered. Two independent reviewers set the pass bar before anyone sees the data.
05Rules of transmission

Four rules, written into the engineering

Everything we build has to meet them. A result that breaks one doesn’t count.

  1. Person to person

    One sender, one receiver, both consenting. Feelings are never broadcast to a crowd.

  2. Deliberate

    The sender opens and closes the channel, on purpose, every time. A version of this already exists for speech interfaces: a silently imagined keyword that locks and unlocks the decoder.11

  3. Never recorded

    Transmission is live. Nothing is stored by default. Research data is kept only as long as an approved protocol requires.

  4. Received, not mine

    The receiver has to know the experience came from someone else. If it feels like their own, milestone three has failed.

Every implanted participant in a partner study has ongoing care funded from the day they enrol. An independent ethics lead can veto any protocol.

06Partners

How we work with partners

Device makers build the hardware. We work on what passes between people, and license it to the companies that need it.

Now

Implant and device makers

Cross-person models and stimulation software that run on your systems. We start with devices already in human studies and design the research alongside your clinical teams.

Now

Universities and hospitals

Sponsored research under local ethics approval. Publication is the default, after a short window for patent filings.

Later

Platforms and experience companies

When transmission works in the lab, companies building for people will want it. The rules of transmission come with every licence.

07People

People

Founder

Velco Dar

Velco spent two decades building experiences for brands. He kept hitting the same limit: so little of an experience survives being passed on.

That limit led him to brain-computer interfaces and to Neural, his book on what the technology will mean for commerce and power. He founded Between Labs to start on the science now.

Neural Fast Company Press · May 2027
Open role

Lead scientist

We’re looking for a co-founder to lead the science. You set the agenda and the standard of evidence.

Maybe you have built models of brain activity that hold up across people. Maybe you have produced sensation through stimulation and run the psychophysics to show what was felt. Either way, we want to hear from you.

Write to us
08Careers

Joining the lab

The lead scientist comes first. After that we hire scientists in decoding and stimulation, machine learning engineers, psychophysicists, and designers who help decide what is worth sending.

Role
Scientists run the research.
Equity
Co-founder equity for the lead scientist, with terms in writing from day one.
Publishing
By default, null results included.
Location
Australia, with partner labs and clinics here and overseas.
09Contact

Tell us where this is wrong.

If you work on reading or writing the brain, we’d like an hour of your time. Device makers, research partners and press, write to us.

hello@betweenlabs.ai

10References

References

  1. Haxby JV et al. A common, high-dimensional model of the representational space in human ventral temporal cortex. Neuron 72:404–416 (2011). doi
  2. Tang J, Huth AG. Semantic language decoding across participants and stimulus modalities. Current Biology (2025). PubMed
  3. Flesher SN et al. Intracortical microstimulation of human somatosensory cortex. Science Translational Medicine 8:361ra141 (2016). doi
  4. Verbaarschot C et al. Conveying tactile object characteristics through customized intracortical microstimulation of the human somatosensory cortex. Nature Communications 16:4017 (2025). doi
  5. Rao RPN et al. A direct brain-to-brain interface in humans. PLoS ONE 9:e111332 (2014). doi
  6. Pais-Vieira M et al. A brain-to-brain interface for real-time sharing of sensorimotor information. Scientific Reports 3:1319 (2013).
  7. Sani OG et al. Mood variations decoded from multi-site intracranial human brain activity. Nature Biotechnology 36:954–961 (2018).
  8. Scangos KW et al. State-dependent responses to intracranial brain stimulation in a patient with depression. Nature Medicine 27:229–231 (2021). doi
  9. Legon W et al. Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans. Nature Neuroscience 17:322–329 (2014). doi
  10. Zheng J, Meister M. The unbearable slowness of being: why do we live at 10 bits/s? Neuron 113:192–204 (2025). Sauerbrei BA, Pruszynski JA. The brain works at more than 10 bits per second. Nature Neuroscience 28:1365–1366 (2025).
  11. Kunz EM et al. Inner speech in motor cortex and implications for speech neuroprostheses. Cell 188:4658–4673 (2025). doi