ASENSIOT

Asensiot

@asensiot

Tampere, West and Inner Finland
http://www.asensiot.com
Technology, Information and Internet

Overview

About Asensiot

Asensiot empowers process industry companies to shift from reactive and predictive fault detection to truly proactive fault prevention—cutting unplanned downtime, eliminating unnecessary maintenance, and extending rotating asset life.

Who Asensiot Serves
- Process industry clients in chemistry, pulp & paper, board, and continuous-process sectors like F&B.
- Maintenance, reliability, and production teams managing large fleets of rotating equipment.

What Asensiot Does
- Delivers a proactive maintenance model with a real-time view of preventive routine effectiveness across assets.
- Screens condition data and field observations to pinpoint high-impact maintenance actions for fault prevention and reliability gains.

MyAsensiot Condition Screening®
- Combines route-based vibration data, field observations, and in-house AI to screen asset data at scale.
- ISO-certified experts validate findings, delivering simple, actionable insights to guide precise maintenance timing.

How Asensiot Is Different
- Leverages existing measurement routines and route-based data—no continuous sensors or heavy infrastructure needed.
- Provides "Value as a Service" with structured outputs (90%+ automated), ERP/CMMS integration, and repeatable sustainability gains.

Impact and Mission
- Helps clients cut corrective work, optimize preventive maintenance, and unlock capacity for reliability improvements.
- Drives sustainable reliability: longer asset life, less waste, and data-backed decisions across the production lifecycle.

Headquarters

Tampere, West and Inner Finland

Website

http://www.asensiot.com

Company Size

2-10 employees

Industry

Technology, Information and Internet

Company Type

Privately Held

Founded

2017

Specialties

automatic diagnosis algorithm, condition screening, sustainable reliability, sustainable maintenance strategy, no alarm waste, no resources waste, no material waste, data driven decision-support, Industrial maintenance, and data driven decision-making

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