Senseye

What Senseye does

Senseye is a cloud-based predictive maintenance software company headquartered in Southampton, United Kingdom, founded in 2014. The company develops an industrial AI and machine learning platform that automatically forecasts machine failure by analyzing time-series sensor data from industrial equipment, enabling maintenance teams to anticipate failure risk and prioritize actions without requiring specialist data science skills. Senseye operates as a wholly-owned product line within Siemens AG following an acquisition, and is distributed exclusively through Siemens' global industrial digitalization services organization.

The Senseye platform architecture spans from industrial equipment at the field level through Industrial Connectivity Services for data acquisition, Drive & Machine Analytics for edge-level signal processing at the OT layer, and into the Senseye Cloud Application at the IT layer, with Maintenance Workflow Management providing operational integration. The product portfolio is positioned as a solution rather than a single product, combining software with advisory, implementation, and optimization services delivered by Siemens. Documented capabilities include holistic asset health visibility, AI-guided analytics shaped by maintenance domain expertise, and a maturity-adaptive framework supporting gradual adoption from priority assets to enterprise-wide deployment.

The business model is a combination of SaaS subscription revenue and professional services, sold through Siemens' enterprise field sales force targeting large manufacturers in automotive, process industries, and discrete manufacturing. Pricing is quote-based with multi-year contracts and no publicly disclosed tiers. Named customers include BlueScope Steel (Australia), Sachsenmilch (Germany), an unnamed automotive manufacturer, Mercer Celgar, and Kotanyi, indicating a concentrated enterprise customer base across geographies. The company operates with 51-100 employees and serves global markets through Siemens' distribution infrastructure. Prior to the Siemens acquisition, Senseye raised approximately $19.2M across multiple funding rounds between 2015 and 2020 from investors including MMC Ventures, Breed Reply, IQ Capital, Momenta Ventures, Plug and Play, NTT DOCOMO Ventures, and Sony Innovation Fund.

Name

Senseye

Legal name

Senseye (Siemens product/brand)

Website

https://senseye.io

Company type

Private

Founded year

2014

Operating status

Operating

Headcount range

51–100 employees

Short description

Senseye, a Siemens-owned predictive maintenance software company headquartered in Southampton, UK, provides industrial AI/ML-based cloud and edge solutions that forecast machine failure for enterprise manufacturers in automotive, process, and discrete industries, distributed exclusively through Siemens' global sales organization.

Ownership category

akta.pro rank

Product category

Predictive Maintenance Software

NAICS

Computer Systems Design and Related Services (5415), Other Computer Related Services (541519)

SIC

Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Predictive Maintenance & Condition Monitoring (IMAIAMAD)

Keywords

• Predictive maintenance software
• Industrial AI platform
• Asset health monitoring
• Machine failure forecasting
• Condition monitoring SaaS

Headquarters

HQ city

Southampton

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Software-as-a-Service (SaaS): Cloud-based predictive maintenance platform delivered as a subscription service, providing automatic machine failure forecasting without requiring specialist skills. The software scales across assets, sites and maturity levels.
2. Professional Services: Advisory, implementation and optimization support provided by Siemens to help organizations succeed at every stage of deployment. Services include PdM Champions training, proof of concept guidance, and implementation support.
3. Solution Approach: Senseye is positioned as a comprehensive solution that can include software, services and expert guidance depending on customer needs and maturity level, allowing for flexible bundling.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

Senseye provides a cloud-based predictive maintenance SaaS platform that combines industrial AI, machine learning, and decades of maintenance domain expertise to automatically forecast machine failure across enterprise asset bases. The solution integrates Industrial Connectivity Services for data acquisition, Drive and Machine Analytics for edge-level processing, and the Senseye Cloud Application for failure forecasting, complemented by Maintenance Workflow Management for operational integration and decision support.

Product overview

Senseye is a predictive maintenance solution portfolio by Siemens consisting of the core Senseye Predictive Maintenance solution supported by the Senseye Cloud Application software, Industrial Connectivity Services for data acquisition, and Drive & Machine Analytics for edge-level processing. The architecture flows from industrial equipment through Industrial Connectivity Services to Drive & Machine Analytics at the edge (OT level), then into the Senseye Cloud Application at the cloud (IT level), enabling scalable condition monitoring and predictive maintenance. The solution is designed to grow with organizations across assets, sites, and maturity levels.

Differentiator

Problem solved

Functional benefit

Brands

• Senseye Cloud Application: Scalable predictive maintenance cloud platform that automatically forecasts machine failure to minimize downtime.
• Industrial Connectivity Services
• Drive & Machine Analytics

Products and services

• Senseye Predictive Maintenance

Quantifiable outcome

• Reduced unplanned machine downtime through early failure detection across assets and sites
• +3 more outcomes

Named customers5 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature6 records

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Augury: Augury is a direct competitor offering AI-driven predictive maintenance and asset health monitoring for industrial equipment, combining vibration and temperature sensors with cloud analytics. It serves a comparable set of process and discrete manufacturers and pursues a similar subscription-based predictive maintenance business model.
• Uptake: Uptake provides industrial AI and predictive maintenance software for asset-intensive industries including manufacturing and energy. It is comparable to Senseye because it sells a SaaS platform that ingests operational data to predict equipment failure and optimize maintenance, often co-sold through industrial partners.
• SparkCognition: SparkCognition applies AI to industrial assets for predictive maintenance, anomaly detection, and asset performance optimization. It targets similar manufacturing, energy, and defense customers as Senseye with comparable AI-on-time-series capabilities and enterprise sales motion.
• C3.ai: C3.ai offers enterprise AI applications including predictive maintenance modules built on its model-driven platform. It targets similar industrial and process-manufacturing customers with subscription-based AI software for asset reliability, making it a comparable predictive maintenance software peer.

Broad incumbents

• IBM Maximo Application Suite: IBM Maximo is a broad enterprise asset management and maintenance platform with predictive maintenance capabilities. It is comparable to Senseye because it serves the same enterprise maintenance buyer and increasingly bundles AI-driven asset health analytics, though it sits in a much wider EAM portfolio rather than specializing purely in predictive maintenance.
• GE Digital (Predix / APM): GE Digital's Predix-based Asset Performance Management (APM) suite targets industrial operators with predictive maintenance and reliability analytics. It overlaps with Senseye on core asset-health and failure-prediction use cases for large industrial customers but operates as part of GE's much broader industrial software portfolio.
• Honeywell Forge for Industrial: Honeywell Forge bundles predictive maintenance, asset health, and operational analytics as part of a broader industrial software portfolio for process manufacturers. It overlaps with Senseye's predictive maintenance and asset-health value proposition and serves many of the same process-industry customers.

Emerging players

• Samsara: Samsara is an IoT platform that combines hardware sensors with cloud software for asset, fleet, and equipment monitoring, including predictive maintenance use cases. It is comparable to Senseye's Industrial Connectivity-to-cloud pattern and overlapping industrial customer base, though it is strongest in physical operations and fleet rather than heavy process manufacturing.
• Fiix (Rockwell Automation): Fiix is a cloud CMMS and asset maintenance management platform now owned by Rockwell Automation, with growing predictive maintenance capabilities. It is comparable to Senseye as it sits in the same maintenance workflow layer and increasingly overlaps on predictive asset health insights for industrial customers.
• Instrumental: Instrumental provides AI-based anomaly detection and predictive maintenance for discrete manufacturing and electronics assembly lines. It is comparable to Senseye's discrete-manufacturing segment, applying machine learning to time-series production data to surface failure modes, though at a smaller scale and narrower vertical focus.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks4 records

Key highlights6 records

Customer concentration

• Xx.com/senseyeIO
• LinkedInlinkedin.com/company/senseye-ltd

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds7 records

Investors8 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Senseye