---
source_url: "https://www.linkedin.com/company/tisar-pdm/?originalSubdomain=il&utm_source=openai"
title: "Tisar | LinkedIn"
mirrored_at: 2026-08-11T15:38:45.853Z
host: www.linkedin.com
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/www.linkedin.com/company/tisar-pdm/index__q__originalSubdomain_il__utm_source_openai"
---

> **Original source:** https://www.linkedin.com/company/tisar-pdm/?originalSubdomain=il&utm_source=openai

## Utilities

#### Tisar-smart prescriptive maintenance, power of an expansive database to generate and apply operational recommendations.

-   [
    
    Discover all 12 employees
    
    ](https://www.linkedin.com/signup/cold-join?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Fsearch%2Fresults%2Fpeople%2F%3FfacetCurrentCompany%3D%255B88394206%255D&trk=org-employees_cta_face-pile-cta)

## About us

ABOUT: Tisar Ltd. was founded in 1986, with the vision and the need to change the old fashioned ideas and patterns of machinery maintenance. The company specialises in Predictive Maintenance services utilising vibration analysis techniques. Tisar is Israel's Predictive Maintenance leading firm providing its services for numerous manufacturing plants with clients including: petrochemical, cement, food, semiconductors, power plants, marine, water, and water treatment, plastic, pharmaceutical, glass, refineries etc. Its skilled team includes highly experienced machinery engineers. TARGET The PdM system is based on determining the machinery condition as it operates, thus, determining the required treatment long before failure. This allows minimising the number of hours / days machines are not in operation due to maintenance requirements. ADVANTAGE Analysis of the machinery vibrations provides a reliable indication as to the quality of the operation of the machine and the developments of failure mechanism, wear and tear. Advanced information about a developing problem in a machine is essential for maintenance planning. COMMITMENT Early Alerts of developing abnormalities within the machinery Identification of abnormal machines Characterize the abnormality within the machine Determines Urgency of Maintenance action required RESULT Our activity gives the customer the ability to decide on the nature of future activities, regarding maintenance actions and planed shutdowns. Customer can base his decision on objective information what is the best time to meet minimal lost production - Opex savings.

Industry

Utilities

Company size

11-50 employees

Headquarters

Givatayim

Type

Privately Held

Founded

1986

Specialties

machinery maintenance, Predictive Maintenance services, vibration analysis, maintenance planning, Early Alerts, meet minimal lost production, Opex savings, and Prescriptive Maintenance

## Locations

## Employees at Tisar

## Similar pages

## Browse jobs