Physio-Adaptive Wearable for At Home Chronic Low Back Pain Management

Address the cause rather than the symptoms

Symetrify is revolutionizing the management and prevention of chronic lower back pain (CLBP). The L-PACT is an at-home assessment and training-to-treat wearable that helps address and prevent asymmetries and postural imbalances.

Back pain is the leading cause of disability worldwide

0 %
of adults in the U.S. suffer from CLBP
0 %
of adults in the US are affected by CLBP at least once in their lifetime
0
million lost workdays annually
$ 0
billion annual related total costs

The L-PACT:

An innovative neuro-mechanical wearable CLBP management system

Assessment

Lumbo - pelvic postural dynamic assessment

Training-to-Treat

Wearable is algo-adjusted to individual

Prevention

Neuromuscular self-learning
and CLBP prevention

Chronic low back pain (CLBP) is often rooted in structural misalignment and postural dysfunction within the lumbo-pelvic region—the lower portion of the spine responsible for load transfer and stability. Asymmetries at the Lumbo-Pelvic Load Distribution Axis (LDA) can disrupt neuromechanical balance, altering load distribution and placing excessive strain on adjacent musculoskeletal structures, ultimately contributing to pain and long-term biomechanical deterioration.

The L-PACT introduces a novel approach to restoring proper load distribution across the lumbo-pelvic structures. First, utilizing AI-driven sensing and automated counter-compressive force application, it assesses dynamic postural imbalances during movement. Then, through brief, walk-based “train-to-treat” sessions, the system applies targeted counter-pressure to promote neuromuscular adaptation and brain retraining—supporting long-term postural correction and the prevention of chronic low back pain (CLBP).

L-PACT Advantages

Personlized
Personlized
Automated
Automated
Non-invasive
Non-invasive
Easy to use
Easy to use
Self managed
Self managed
Long-term
Long-term

A groundbreaking technology to asses and improve dynamic spinal posture

Built on our deep clinical expertise and priority technology, the L-PACT system analyzes and addresses the neuro-mechanical root cause of back pain

Supporting scientific literature

The technology behind L-PACT is based on extensive research conducted in the field. Key research published in renowned peer-reviewed journals supports its innovative approach to address asymmetries in lumbo-pelvic motion and posture for pain reduction and long-term prevention.

About Us

Symetrify aims to establish a new standard of care in the assessment and improvement of neuro-musculoskeletal health.

In a proof-of-concept study involving 100 patients, 98% demonstrated measurable improvement, with 42% showing progress after just a single session.

Symetrify’s go-to-market strategy begins with the $34 billion U.S. physical therapy and chiropractic market, followed by entry into the sports, fitness, and workplace wellness sectors.

Symetrify’s proprietary technology platform can also be applied to numerous neuromuscular conditions, including neck pain, shoulder pain, and sports injuries, all multi-billion-dollar market opportunities.

The company is collaborating with eHealth Ventures, a digital health incubator providing access to world-class clinical, operational and business networks.

Team and Advisory

Dr. Ami Eyal

Dr. Ami Eyal

Founder, CMO & R&D

Talor Sax

Talor Sax

Chairman of the Board

Ophir Shahaf

Ophir Shahaf

Business Development

Shay Yulzary

Shay Yulzary

Mechanical Engineer
(MSc), MBA

Tomer Bruchiel

Tomer Bruchiel

Electrical Engineer (BSc)

Aaron Raz

Aaron Raz

System Design &
Software Dev.

Alex Frid

Alex Frid

Machine Learning and
Neuro - Computation (PhD)

Our Collaborations

Maccabi
Amgen
Assuta
Medison
Beit Balev
Arad Technologies
Mayo Clinic

Dr. Ami Eyal

Co-founder & CMO

Dr. Eyal is a chiropractor with 22 years of clinical practice, specializing in the neuro-biomechanics of the spine, kinesiology, and musculoskeletal kinematics. He developed an innovative breakthrough training approach to manage and prevent low back pain causes.

Elad Halperin

CEO

With over 20 years of experience in medical devices, predictive analytics, and energy and fueling software, Mr. Halperin has a strong track record of leading teams to commercial success. He has held strategic roles at industry leaders such as Aviv (TAE: AVIV), Odysii Technologies (acquired by Danaher, NYSE: DHR), Fortive (NYSE: FTV), and Vontier (NYSE: VNT).

Talor Sax

Chairman of the Board

Mr. Sax is the CEO and partner at eHealth Ventures, a digital health incubator and Board Member to several start-ups. Mr. Sax has over 20 years of entrepreneurial and managerial experience in digital medicine companies in Israel, the United States and Europe. He is a member of the Advisory Committee for the BioMed degree at the Hebrew University, and has served as a member of the advisory committee in the field of life sciences at the Israel Export Institute and various committees at HIMSS.

Ophir Shahaf

Business Development

Mr. Shahaf is the VP Business Development at at eHealth Ventures, a digital health incubator. He is the ex-CEO of Hadasit Bio Holdings Ltd, a public company in TA and the US – financial tech transfer arm for the Hadassah Hospital System.

Shay Yulzary

Mechanical Engineer (MSc), MBA

My Yulzary brings vast experience as a mechanical design engineer, from first principles through the entire design cycle, project management, technical writing, and documentation.

Tomer Bruchiel

Electrical Engineer (BSc)

Mr. Bruchiel is a highly experienced RF engineer with more than 15 years of experience in planning, optimizing, and managing the development and design of hardware components. He specialized in MCUs, MEMS, electronic design, software design (client-server software), and integrating sensors and communication.

Aaron Raz

System Design & Software Development

Mr. Raz is a seasoned software developer who has extensive experience in designing and developing software systems for embedded and cloud environments, desktop applications, full-stack web applications, and more. He also has hands-on expertise in training, developing, and deploying ML/AI systems, as well as a solid background in research methods and statistics.

Alex Frid

Machine Learning and Neuro- Computation (PhD)

My. Frid is a multidisciplinary researcher, software, and system architect specialized in transforming real-life signals into meaningful data. He is experienced in leading multidisciplinary hardware and sofware R&D teams, research teams, algorithmic teams, Nano-Satellite engineering, and designing miniaturized acquisition payloads.