LayerLogic
Live · Sensor reading

Pathogens,
detected in minutes.
Not days.

We build a portable sensor for food producers. Test for Listeria right where the food is made, and get clear results in minutes instead of waiting days for the lab.

Backed & supported by
Chalmers Ventures
Scientifica VC
EIT Food
Yeos Ventures
MassChallenge
X&Y Invest
§ 01 — The shift
Time to result
<0min

From sample to results in under fifteen minutes. Your operator does it. No lab, no shipping.

Recalls caused by Listeria & Salmonella
0%

Two bugs drive almost half of microbial food recalls. Both are still caught days late by the standard lab workflow.

Consumers who would stop buying
0%

One recall is enough. Most shoppers walk and don't come back. The cost of catching it late is the customer.

Today, microbial testing means shipping samples to a lab and waiting two to four days. By the time the results come back, the product has usually already shipped. We bring the test to the line, so you catch contamination before it leaves the building.

§ 02 — How the test works

A simple, 3 step workflow and results in 15 minutes.

Today's sensor is tuned for Listeria monocytogenes, built for the line, not the lab.

  1. Step 01 ≈ 30s

    Swab where Listeria hides.

    Drains, slicers, belts, surfaces. Drop the swab onto a new sensor.

  2. Step 02 on-site

    Connect the biosensor.

    Connect the sensor to the read-out system, press start. Keep the line running.

  3. Step 03 < 15 min

    Listeria: yes or no.

    Pass or fail in under fifteen minutes — before the batch ships.

Want the science underneath? Read on.

§ 03 — The technology behind it

Underneath: a graphene field-effect transistor.

A graphene field-effect transistor (gFET) is a charge sensor. We add receptors that grab the target; when something binds, the signal changes. No amplification, no thermal cycling, no reagents. We target Listeria monocytogenes today, but the same chip can be tuned for other bacteria, viruses, and analytes.

Step 01 — Capture t = 0s
SiO₂ / Si gate graphene

Capture.

Receptors on the graphene surface grab the target out of the sample — bacteria, viruses, spores, or smaller molecules.

Step 02 — Transduce t ≈ 02:00
S D ΔV_g +0.014 V

Transduce.

When something binds, the electric field across the channel shifts. The chip reads it straight away as a change in current.

Step 03 — Read t < 15:00
DETECT_01 L. monocytogenes · 14:08 POSITIVE

Read.

The device turns that signal into a clear pass or fail, in under fifteen minutes from sample.

§ 04 — The science

A biosensor, made specific.

Plastic substrate SOURCE DRAIN graphene monolayer receptor + bound analyte electrolyte interface V_g FIG. A · gFET cross-section scale: schematic
FIG. A · Source–graphene–drain channel with receptor-functionalized surface. Gate bias Vg sweeps the Dirac point; analyte binding shifts Ids(Vg).

01 · Graphene as biosensor

Graphene is one atom layer thick. Every electron sits at the surface, which makes the channel sensitive to whatever lands on it. There's no bulk to drown out the signal, so even a single binding event shows up as a measurable change in conductance.

02 · Surface functionalization

The receptors are what make the chip pick out one thing and ignore the rest. We bond receptors to the graphene with a linker chemistry that holds up in real food matrices. Want to detect something else? Swap the receptor.

03 · Patented manufacturing

We've developed a low-cost way to make lab-grade gFETs at volume, cheap enough to ship as a single-use sensor. That's what lets the device sit next to the production line instead of inside a research lab.

04 · Adaptable across analytes

The same platform can answer different questions. Bacteria now, viruses next, mycotoxins after that. Re-functionalize the surface, re-validate, deploy.

"Thirty years of graphene research at Chalmers, in a device that fits in your hand."

— Research lineage · Chalmers University of Technology
0

Patents filed on our manufacturing process and signal processing.

§ 05 — Backed by

Backed by deep-tech.

Funded by deep-tech funds, family offices, and a cohort of qualified business angels across Europe.

Backed by
Chalmers Ventures
Gothenburg · SE
Chalmers Ventures

The innovation and investment arm of Chalmers University of Technology, where our graphene research originated.

Backed by
Scientifica VC
Rome · IT
Scientifica VC

Italy-based venture fund backing science-led startups across advanced materials, deep biology and graphene technology.

Backed by
EIT Food
EU programme
EIT Food

Europe's largest food innovation community, supported by the European Institute of Innovation and Technology.

Backed by
Yeos Ventures
Stockholm · SE
Yeos Ventures

An investment collective of 120+ Swedish entrepreneurs from Young Entrepreneurs of Sweden (YEoS), backing early-stage companies with capital and their networks.

Backed by
X&Y Invest
Gothenburg · SE
X&Y Invest

Gothenburg based family office investing in exceptional founders building the future.

Backed by
Business Angels
Europe
Business Angels

A cohort of qualified business angels across Europe backing early-stage deep-tech.

§ 05b — Recognitions

Picked by the people who spot deep-tech early.

Accelerators, food-science programmes and editorial lists that follow and acknowledge LayerLogic.

Selected
MassChallenge
Global accelerator cohort
MassChallenge

Selected into the MassChallenge cohort — a global accelerator that has helped over 3,000 startups raise more than $9B.

Selected
Forbes 30 Under 30
Europe · Manufacturing & Industry
Forbes 30 Under 30

Featured in Forbes' annual list of young innovators reshaping their industries — Europe edition, Manufacturing & Industry category.

Selected
EIT Food
FAN accelerator
EIT Food

Selected into the EIT Food Accelerator Network (FAN) — Europe's leading accelerator for high-potential food-tech startups.

Selected
SIO Grafen
Strategic innovation programme
SIO Grafen

Recognized and funded by Sweden's national graphene programme for our work on field-effect biosensors.

Selected
Formas
Swedish research council
Formas

Backed by Formas, the Swedish government research council funding sustainable development, food and agriculture.

§ 06 — The team

Engineers, microbiologists, graphene physicists.

Six founders out of Chalmers, covering nano device physics, systems biology, industrial engineering and operations, plus a small engineering team building the product.

Founders 06
André Persson
Education
MSc Business Development & BSc Mechanical Engineering
André Persson
CEO & Founder
andre.persson@layerlogic.se
Sebastian Samuelsson
Education
MSc Business Development & BSc Industrial Engineering and Management
Sebastian Samuelsson
CFO & Founder
sebastian.samuelsson@layerlogic.se
Ebba Sandbecker
Education
MSc Business Development & BSc Industrial Management & Production Engineering
Ebba Sandbecker
CCO & Founder
ebba.sandbecker@layerlogic.se
Avgust Yurgens
Education
Prof., Microtechnology & Nanoscience
Avgust Yurgens
Founder & Professor
avgust.yurgens@layerlogic.se
Santosh Pandit
Education
PhD, Systems & Microbiology
Santosh Pandit
Founder & Senior Researcher
santosh.pandit@layerlogic.se
Munis Khan
Education
PhD, Microtechnology & Nanoscience
Munis Khan
Founder & Doctoral Researcher
munis.khan@layerlogic.se
Engineering 02
Mohammed Agha
Education
MSc, Software Engineering & Technology
Mohammed Agha
Head of Software Engineering
mohammed.agha@layerlogic.se
Elnaz Danesh
Education
MSc, Chemical Engineering
Elnaz Danesh
Chemical Engineer
elnaz.danesh@layerlogic.se
§ 07 — Contact

Tell us about your contamination problem.

Fill out the form. We'll get back to you within the week. If your case is unusual — a different pathogen, a tricky food matrix, an unfamiliar validation regime — that's exactly the conversation we want to have.

Address

Medicinaregatan 8A
413 90 Göteborg
Sverige

Request a demo

Tell us what you're testing for. We'll reply to the email you provide.