Senseye
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.
- Company typePrivate
- Founded2014
- HeadquartersSouthampton, United Kingdom
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
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.
Senseye firmographics
Firmographics- 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
Senseye industry classification
Industry- 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
Where Senseye is headquartered
LocationHeadquarters
- HQ city
- Southampton
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Senseye business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Flexible solution approach tailored to organizational needs and maturity level |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels5 records
Senseye product offering
Product offeringCore 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
Companies that use Senseye
Customer profileNamed customers5 records
Segments3 records
Ideal customer profiles3 records
Senseye technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature6 records
Senseye partnerships and signals
Strategic signalScale indicators2 records
Recent moves6 records
Expansion highlights6 records
Senseye competitors and assessment
Company assessmentDirect 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
Senseye social profiles
Digital presenceSenseye financial estimates
Financial estimateRevenue estimate
Valuation estimate
Senseye leadership team
Management profileNumber of profiles
Profiles6 records
Senseye funding detail
Funding detailFunding overview
Funding rounds7 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Senseye M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Senseye
What does Senseye do?
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.
Is Senseye a public or private company?
Senseye is a private company. It is classified as corporate owned and is currently operating.
When was Senseye founded?
Senseye was founded in 2014. It employs 51 to 100 people.
Where is Senseye based?
Senseye is headquartered in Southampton, United Kingdom, in the Europe region.
How does Senseye make money?
Three revenue lines are on record. Software-as-a-Service (SaaS) is the primary driver. The others are professional Services and solution Approach.
Who are Senseye's main competitors?
Direct peers on record are Augury, Uptake, SparkCognition and C3.ai. Broad incumbents are IBM Maximo Application Suite, GE Digital (Predix / APM) and Honeywell Forge for Industrial. Emerging players are Samsara, Fiix (Rockwell Automation) and Instrumental.
Does Senseye have an API?
No public API is recorded for Senseye.
What industry is Senseye in?
Senseye's product category is Predictive Maintenance Software. Its primary akta.pro industry code is IMAIAMAD, Predictive Maintenance & Condition Monitoring. Its NAICS code is 5415 and its SIC code is 7373.