SaliTect platform · formerly E-Tongue Saliva diagnostics · Periodontics · AI-driven

A chairside saliva test to help detect gum disease early

SaliTect is developing a chairside, AI-driven platform designed to deliver a periodontal result from a non-invasive saliva sample within minutes. It is built for the dental clinic and aimed at finding disease while prevention is still an option.

We are building the future of preventive dentistry — and looking for the right partners to do it with.

Periodontitis is a silent epidemic — and today's diagnostics arrive too late

Periodontitis affects up to 40% of Swedish adults, yet more than half of patients never receive a full periodontal assessment. Today's tools detect the disease only after the damage is done — leaving prevention, the affordable option, structurally out of reach.

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General clinics: invasive and retrospective

Metal probing and radiography measure damage that has already occurred, rather than current disease activity — so a confirmed diagnosis arrives after the window for prevention has closed.

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Specialist clinics: accurate or fast, not both

Lab tests are accurate but slow. Rapid biomarker tests return results quickly but are less reliable. Neither is built for routine, high-volume use in a general practice.

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Saliva defeats single-point testing

Rapid tests track a single molecule in a fluid whose composition varies widely between patients and across the day — a known challenge for tests that rely on one biomarker.

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High systemic cost

Treatment costs are high, and untreated periodontitis is independently associated with other chronic diseases — turning a diagnostic gap into a broader cost for the health system.

Sources: prevalence, Wahlin et al., 2018. Periodontal assessment, Svenskt kvalitetsregister för Karies och Parodontit (SKaPa), 2022.

An AI-driven platform that reads the full electrochemical profile of saliva

The SaliTect platform is designed to combine a modular sensor cartridge, a chairside analyzer unit, and digital decision support for the clinician. Rather than measuring a single biomarker, a multi-electrode array captures a complex electrochemical profile of the sample, which an AI model interprets. The design target is a result within minutes with no lab logistics, aiming to reveal disease before a probe or an X-ray can find it.

Step 01
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Saliva sample collection

The patient provides a small saliva sample at the chairside. Non-invasive and quick, with no laboratory logistics required.

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Step 02
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Cartridge load

The sample is loaded into a modular sensor cartridge, designed to be single-use and low-cost, which carries the multi-electrode array at the heart of the measurement.

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Step 03
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Device input & analysis

The cartridge is inserted into a compact, reusable analyzer connected by cable to the clinic computer. The analyzer captures an electrochemical profile across multiple electrode materials, and an AI model processes it. This approach is intended to handle the biological variability that constrains single-biomarker tests.

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Step 04
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Target: result within minutes

Digital decision support translates the raw sensor data into a risk score on the clinician's desktop screen, and the clinician makes the final decision. The platform is designed to write the result into the patient record, so the finding can be discussed with the patient in the same visit. Repeated tests are intended to support monitoring over time.

SaliTect is at TRL 3–4. A functional proof-of-concept prototype exists in a lab environment and the digital interface prototype is in user testing. The AI model has been trained and validated on synthetic data (Akin et al., 2025). A first set of clinical saliva samples has been collected under approval from the Swedish Ethical Review Authority, and evaluation on clinical samples is pending. Product imagery on this page is an AI-aided visualization of the existing prototypes.

A billion-dollar market with a structural diagnostic gap

USD 1B
Salivary diagnostics market
by 2030 (Grand View Research)
90M
New periodontitis cases
diagnosed globally each year
€159B
Annual cost of periodontitis
to Europe (Botelho et al., 2021)
+44%
Projected growth in severe
cases globally by 2050

Primary entry: dental clinics

Approximately 3,000 clinics in Sweden and up to 200,000 across the EU, with dentists and dental hygienists as primary users. The platform is designed to create a billable, same-visit diagnostic service that fits inside the existing consultation flow with little to no implementation cost.

Target €9,100 ARPU / clinic / year · Modelled payback under 9 months

Platform expansion path

The architecture is designed so that the same analyzer and AI engine can take swappable cartridges and algorithm packages — extending to other systemic indications and, beyond medicine, to industrial fluid quality. One core technology, multiple markets, with each validated study intended to build a proprietary dataset that compounds over time.

Periodontitis → Systemic conditions → Industrial fluids quality

Revenue and payback figures are modelled projections from a base scenario, not realised results. The scenario assumes 365 tests per clinic per year, €4,000 per analyzer unit, €20 per cartridge, a €150 monthly subscription, and €40 patient billing per test. Market sizing per Grand View Research (2025–2030), Botelho et al. (2021), the Global Burden of Disease study (2021), and Nascimento et al. (2024). Clinic counts per Tandvårds- och läkemedelsförmånsverket (2023), and estimated from CED (2023) and Pälvärinne et al. (2019).

Addressing what existing tests cannot

Current periodontal diagnostics force a choice between accuracy and speed. SaliTect is designed to resolve that trade-off by applying pattern-recognition AI to a multi-electrode profile. The comparison below sets out our design targets against products already on the market — SaliTect's performance is still to be evaluated on clinical data.

Dimension SaliTect (target) PerioSafe® (Dentognostics) MyPerioPath® (OralDNA) Oral Genome
Core technology Multi-electrode array + AI Single biomarker (aMMP-8), lateral flow qPCR-based bacterial DNA detection Lateral flow, 7 biomarkers + AI
Time to result Target: minutes, chairside About 5 minutes, chairside 5–10 days, mail-in lab Under 15 minutes
Published accuracy Evaluation on clinical samples pending About 84% sensitivity, 79% specificity High for specific bacteria Wellness use, no clinical claim
Variability handling Design intent: AI normalizes noise Single marker, sensitive to sample variability Lab-controlled only AI-aided, but lateral-flow bound
Lab required ✓ No ✓ No ✗ Yes ✓ No
Regulatory setting IVDR Class B planned CE-marked, clinical US laboratory test, clinical Consumer wellness product
Price Target €15–25 per cartridge About €64 per test, reader about €4,285 USD 99–160 per test About USD 59 per test
Clinic revenue model Potentially high-volume tool Adjunctive, not routine Low-volume specialty Consumer, not clinical
Platform expandability Designed for multi-indication ✗ Single indication ✗ Single indication Limited

SaliTect entries describe design targets for a platform in development, not measured performance. Comparator products: PerioSafe® (Dentognostics GmbH, Germany), MyPerioPath® (OralDNA Labs, Quest Diagnostics, USA), Oral Genome, Inc. (USA). PerioSafe accuracy from a published screening study. Competitor prices as publicly listed in June 2026 and subject to change.

Sensors, AI, clinical science, and design — under one roof

Formed at Malmö University and Linköping University with a deliberate mix of biomedical laboratory science, analytical chemistry, machine learning, clinical periodontology, and interaction design — the core competencies needed to take the platform from R&D, through regulatory, to commercialization.

Magnus Falk

Magnus Falk

Co-founder · Biotech Lead
Assoc. Professor / Senior Lecturer, MaU. Expert in biomedical laboratory science.
Emelie J. Nilsson

Emelie J. Nilsson

Co-founder · Validation Lead
Associate Senior Lecturer, MaU. Expert in analytical chemistry.
Erdal Akin

Erdal Akin

Co-founder · AI Lead
Senior Lecturer, MaU. Specialist in computer science, AI, and IoT systems.
Shariel Sayardoust

Shariel Sayardoust

Co-founder · Clinical Lead
Adjunct Assoc. Professor, LiU. PhD and Specialist in Periodontology.
Anna Korczak

Anna Korczak

Co-founder · CEO
MaU alumna. Interaction designer and communications specialist.
Extended Team
Hamed Talebi

Hamed Talebi

IoT & Edge AI
Research assistant, MaU. Specialist in IoT and edge AI systems.
Erik Barger

Erik Barger

AI & User Research
Bachelor's student, MaU. AI training and user research.

Research institutions, clinical networks, and industry expertise

Working with institutional research partners, a clinical network spanning two universities, regulatory advisory, and incubator support — covering the path from early-stage development toward market entry.

Folktandvården Östergötland
Linköping University
RISE
BIO MS
MAU Holding
Medeon
Aesir Partners
fabo.la

We are building the future of preventive dentistry — and we are looking for the right partners to do it with.

Whether you represent a dental network, a diagnostics company, a research institution, or an investment fund, we want to hear from you. SaliTect is actively seeking clinical sites, industry collaborators, and investors aligned with medtech and preventive care.

Watch Anna, our co-founder and CEO, pitch the SaliTect platform