Canton de Vaud · Switzerland

Clinical problems,
heard by humans,
answered in 24 hours.

Frustrated by a problem in your clinical practice? Send us a WhatsApp voicenote. Our team of doctors and biomedical engineers researches it and gets back to you within 24 hours.

Our team: MD MSc Biomedical Eng. PhD CHUV · EPFL · ETH
Send your first voicenote → Partner with us
The problem

Clinicians see fixable problems every day.
Nowhere to send them.

Every day, clinicians navigate ill-adapted tools, administrative overload, coordination gaps, and technology built without ever consulting the people using it. Startups and medtech companies trying to solve these problems pay €70K+ for market research just to find them. And still get it wrong. SignalHub connects the people who see the friction with the people trying to fix it.

Never asked.
Doctors, nurses, and healthcare providers notice what's broken every day. In most hospitals, there is no formal channel to capture it: no culture of correction or feedback.
€70K+
Average cost of a single MedTech market research report. Slow, infrequent, and disconnected from real practice.
Too late.
Clinicians are typically involved after critical design decisions have already been made, leading to poor adoption.
Usually doctors are never being asked at all, never. There is no culture for correction nor feedback in a hospital.
— A CLINICIAN & POST-DOC, UZH
"

Finally, someone I can talk to to describe my problems and tackle them.

— Surgeon, Switzerland
"

I see things that should be fixed every single day. I just don't know who to tell.

— Cardiologist, France
"

Industry shows up after the decisions are made. By then it's too late to change anything meaningful.

— Emergency clinician, UK
How it works

Three steps.
One WhatsApp message.

No need for forms, separate apps, calendar bookings. A doctor picks up their phone, sends a voicenote, and a real person who holds credentials in both medicine and engineering answers.

01
Step 01

Capture the moment

Send a WhatsApp voicenote describing your "This should be different" moment. Voice, because it's frictionless: clinicians are used to dictating, and a 60-second description captures the context and nuance a typed message rarely does. Under 3 minutes. No forms, no portal. Examples: a trocar that keeps slipping mid-surgery, an ICU alarm system nobody responds to anymore, a diagnostic workflow that adds 40 minutes for no clinical reason.

02
Step 02 — Where humans matter

AI researches. A human verifies.

Our AI system searches across medical literature, active research, and our clinical innovation network, surfacing what's relevant across sources no single search could cover. A credentialed team member then reviews and verifies everything before it reaches you.

MD MSc BME PhD
03
Step 03

A human responds in 24 hours.

A named responder acknowledges your note within 24 hours. The real work starts there: research, follow-up, and connections take as long as they need to be right.

Every response falls into one of three categories
A Resolved

A solution already exists

The problem is solved. We tell you what the solution is, who provides it, and how to access or adopt it in your practice.

B In motion

Someone is working on it

A startup, a lab, or a research group is actively building. We tell you who and what stage, and we make the introduction.

C Open gap

A real, unaddressed need

Nobody is solving this yet. We connect you to the right people in our ecosystem: industry, researchers, or consultants who could help. If you're interested.

The difference

AI searches, extracts and classifies.
Humans interpret, validate and connect.

Every interview we ran said the same thing: what's missing is a trusted third party who understands both worlds. We built SignalHub to be exactly that.

What AI alone gives you

Results with no context, judgment, or follow-through.

  • Synthesized search results from training data
  • No accountability for what it tells you
  • No knowledge of who is actually building what
  • No follow-up. No introductions. No relationship.
  • No human credentials behind any answer
What SignalHub gives you

A credentialed person who has done the work.

  • A named responder with MD, BME, or PhD credentials
  • A verified answer they will stand behind
  • Direct knowledge of our ecosystem and who's building what
  • Warm introductions. Ongoing follow-up. A relationship.
  • A credentialed medical + engineering team — not an AI middleman

MD + biomedical engineering

Trained responders with verified degrees, not search-engine summarizers or generalist freelancers.

Real ecosystem

Direct relationships with researchers, startups, and industry across Switzerland and beyond.

Conflict-free

Independent. Confidential. No paid placements masquerading as recommendations.

Signal, not noise

Every question contributes to a curated dataset shaping where research and investment actually go.

The ecosystem

Not just an answer.
The right connection.

This isn't a chat tool that returns a generic AI answer and drops it there. Behind every response is an active network of researchers, startups, engineers, and clinicians across Switzerland and beyond. When you describe a friction point, we find who's working on it and make the right introductions depending on what your problem actually needs.

  • 01 Zero friction. WhatsApp, voice, three minutes, on your schedule, not ours.
  • 02 A credentialed human response. Not a chatbot. Not a Google search. A named MD or BME who has done the work.
  • 03 Real connections. If someone is working on your problem, we make the introduction.
  • 04 Your problems matter. Every insight you share is tracked, structured, and counted.
Join as a physician →
You Researcher Startup Industry Consultant CHUV EPFL · ETH
For industry

We find the best
partner for you.

We sit between clinicians who notice what's broken and the researchers, startups, and companies working to fix it. If you're building something for the clinical world, or looking for the right clinical voice, get in touch.

Get in touch about partnerships →
The founders

Built by people who
speak both languages.

Our team brings together expertise in medicine, bioengineering, digital health, and artificial intelligence to bridge clinical practice, research, and health innovation.

Emmanuel

Emmanuel

Biomedical Engineering · Co-founder

Biomedical engineer (EPFL) and medical student at the University of Geneva. Conducted research at MIT; currently at ETH Zürich's Ingenuity Lab on translational medical innovation.

Alex

Alex

Digital Health · Co-founder

Robotics engineer (EPFL) specialising in digital health. Clinical research at Boston Children's Hospital and Harvard Medical School; now at the Center for Digital Health Interventions, Zurich.

Lilly

Lilly

Software & AI · Co-founder

Software engineer with expertise in computer science, AI, and innovation strategy.