ANOMALYSE LTD

What ANOMALYSE LTD does

ANOMALYSE LTD is a Manchester, UK-based private limited company that develops machine learning software for anomaly detection on industrial assets. The platform ingests time-series sensor data from operational technology systems and applies multivariate ML models that learn each asset's normal behavioral envelope, then flag deviations for operations teams. The product is delivered as a cloud-native SaaS offering built on AWS using a serverless architecture, integrating with customers' existing SCADA and historian systems via read-only connections that minimize disruption to production environments. The company targets UK industrial manufacturers across multiple process-heavy sectors, including glass, food and beverage, waste processing, and pharmaceuticals, with publicly referenced deployments at Glass Futures, AMRC Cymru, a UK malt producer, and a medium-sized food and beverage business.

The business model centers on SaaS licensing for the anomaly detection platform, supplemented by non-dilutive grant funding (notably a £1.3M Innovate UK award in 2022). Go-to-market relies on a layered partnership ecosystem rather than direct sales scale, combining research collaborations (National Physical Laboratory), industrial R&D testbeds (AMRC Cymru), OT integration partners (PowTechnology, Go Monitor), an industry network (Manufacturers Network), and control-system vendor compatibility (Siemens PCS7 / Neo). The team is small, with approximately five named members combining PhD-level quantitative expertise, AWS architecture credentials, and decades of industrial automation experience on the commercial side. Reported technical differentiators include per-asset model training, feedback-loop-driven model improvement, and uncertainty quantification rigor; the company has also achieved Cyber Essentials accreditation, signaling baseline enterprise-readiness. No equity funding round, pricing model, or ARR figures have been disclosed in the available data.

Name

ANOMALYSE LTD

Legal name

Anomalyse Ltd

Website

https://anomalyse.io

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Industrial Anomaly Detection Software

NAICS

Computer Systems Design and Related Services (54151)

SIC

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

akta.pro primary industry

Risk Scoring, Fraud & Anomaly Detection (HDAAAHAD)

Keywords

• Anomaly detection software
• Predictive maintenance platform
• Industrial sensor analytics
• Machine learning monitoring
• Multivariate anomaly detection

Headquarters

HQ city

Manchester

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. SaaS Subscription (Standard, Premium, Enterprise): Monthly subscription access to the Anomalyse platform with tiered plans. Customers can choose between Standard, Premium and Enterprise tiers depending on requirements. Bespoke integrations available for Enterprise customers at additional scope.
2. Enterprise Bespoke Integrations: Custom integration services for Enterprise tier customers who require bespoke data connections beyond the standard API.

Pricing tiers

Go-to-market motion4 records

Distribution channels3 records

Marketing channels5 records

Core offering

Anomalyse Ltd provides a cloud-native SaaS anomaly detection platform that monitors industrial assets and processes via machine learning. The platform ingests sensor data through an HTTP API, trains multivariate ML models per asset to learn normal behaviour without prior machine knowledge, and delivers three integrated applications — Predictive Maintenance, Process Insights, and Energy Monitoring — via a subscription model with Standard, Premium, and Enterprise tiers.

Product overview

Anomalyse Ltd offers a unified anomaly detection SaaS platform for industrial asset monitoring. The core Anomalyse Platform delivers three integrated applications: Predictive Maintenance, Process Insights, and Energy Monitoring. All three applications share the same multivariate machine learning foundation and dashboard interface, processing data from sensors, machines, and digital systems via HTTP API. The platform is available in Standard, Premium, and Enterprise subscription tiers, with bespoke integrations available for Enterprise customers.

Differentiator

Problem solved

Functional benefit

Products and services

• Anomalyse Platform Unified anomaly detection SaaS platform that monitors, detects, and responds to irregularities in industrial sensor and operational data using multivariate machine learning models trained per asset from historical data. Available in Standard, Premium, and Enterprise subscription tiers, with bespoke integrations available for Enterprise customers.
• Predictive Maintenance Application Application that identifies equipment in need of maintenance well in advance of failure, enabling early action and avoidance of unplanned and unnecessary downtime. Built on the Anomalyse Platform's multivariate ML models.
• Process Insights Application Application that spots unusual operational conditions and events so users can explore issues before they disrupt production. Built on the Anomalyse Platform's multivariate ML models.
• Energy Monitoring Application Application that detects unusual energy usage patterns and identifies opportunities to reduce operational costs and materials usage by maximising asset lifespan. Built on the Anomalyse Platform's multivariate ML models.

Quantifiable outcome

• Improved OEE through reduced unplanned downtime, minimised wastage, and reduced energy consumption
• +1 more outcomes

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability2 records

Feature5 records

Partnerships

Ten partnerships are on record, tiered core and supporting.

• Manufacturers NetworkcoreStrategic or Co-development PartnerManagement consultancy working with UK and international manufacturing organisations to improve productivity and operational performance. Partnership combines operational improvement expertise with Anomalyse's intelligent data insight to help manufacturers reduce waste, improve reliability and unlock productivity gains. Managing Director Mark Leeson leads the partnership relationship.
• PowTechnologycoreTechnology or IntegrationSpecialists in intelligent automation, connecting data from sensors and machines to the cloud using advanced technologies. PowTechnology's 35 years of expertise ensures Anomalyse receives rich, reliable data from sensors and machines, forming a robust foundation for anomaly detection solutions. Projects have been described as fascinating and varied with great energy working with fellow innovators.
• Go MonitorcoreTechnology or IntegrationSolution-focused IoT engineering business delivering real-world solutions across industry verticals including automotive, aerospace, energy and construction. Provides end-to-end, bespoke IoT solutions including sensors and 4G gateways. Combined with Anomalyse's AI and modelling capabilities gives customers a complete, proven solution for uncovering operational opportunities.
• AMRC Cymru (Advanced Manufacturing Research Centre, University of Sheffield)supportingStrategic or Co-development PartnerPartnership with AMRC Cymru for waste conveyor belt system use case. Deployed anomaly detection platform at AMRC Cymru to monitor Ken Mills Waste Conveyor unit on their test floor. Part of wider collaboration supporting UK manufacturing productivity research.
• GM Business Growth HubsupportingGTM or Marketing PartnerGM Business Growth Hub provided funding for Anomalyse's deployment at AMRC Cymru. Part of Greater Manchester's business growth support ecosystem for manufacturing organisations.
• NPL (National Physical Laboratory)supportingStrategic or Co-development PartnerPartnership through Innovation for Machinery (I4M) programme, funded by Advanced Machinery and Productivity Initiative (AMPI). Joint research to investigate how sensor quality affects anomaly detection results using CNC milling machine with high-quality and low-cost sensors side by side.
• Innovate UKsupportingGTM or Marketing PartnerInnovate UK funding supported Anomalyse deployment at Glass Futures and I4M programme partnership with NPL. Co-sponsored Meet the Buyer events with Make UK where Anomalyse was selected to present.
• Make UKsupportingGTM or Marketing PartnerMake UK partnered with Innovate UK to host Meet the Buyer event where Anomalyse was selected to present to one of the UK's largest pharmaceutical manufacturers out of over 200 applicants.
• AWS (Amazon Web Services)coreTechnology or IntegrationAWS is the cloud infrastructure provider for Anomalyse's platform. Platform is hosted in AWS in a multi-account environment using managed cloud services. Customer data is processed and stored in AWS eu-west-1 (Ireland) region.
• SiemenssupportingTechnology or IntegrationSiemens SIMATIC PCS7 Neo and SIMATIC Process Historian systems are integrated with Anomalyse for glass furnace cooling system monitoring at Glass Futures. Integration uses existing Siemens historian data without requiring direct connection to control layer.

Scale indicators3 records

Recent moves6 records

Expansion highlights4 records

Emerging players

• Presenso: Presenso offers an AI-driven anomaly detection solution for industrial assets using unsupervised machine learning on sensor data. It is closely comparable to Anomalyse's multivariate ML approach, particularly in predictive maintenance contexts, and represents a more specialised competitor in industrial asset anomaly detection.
• Braincube: Braincube offers an Industrial AI platform for manufacturers, providing real-time analytics, anomaly detection, and optimisation on production data. It is comparable to Anomalyse's industrial AI approach and competes for similar predictive maintenance and process optimisation deals, with a stronger footprint in European manufacturing.
• Datch: Datch provides an industrial AI platform that ingests sensor and operational data to surface anomalies, automate reporting, and improve asset reliability. It is comparable to Anomalyse in delivering sensor-data-driven insights to industrial operators, though its emphasis on voice/natural-language interfaces differentiates it somewhat.

Direct peers

• Augury: Augury provides AI-driven anomaly detection and machine health monitoring for industrial assets. It is the most direct competitor to Anomalyse, applying machine learning to vibration, temperature, and process sensor data to predict failures — overlapping directly with Anomalyse's Predictive Maintenance and Process Insights use cases.
• Senseye (Siemens): Senseye offers cloud-based predictive maintenance software using machine learning for industrial assets and was acquired by Siemens. It competes directly with Anomalyse's predictive maintenance application and adds additional competitive pressure because Siemens is also one of Anomalyse's integration partners and a primary OT vendor to UK manufacturers.
• Uptake: Uptake delivers an industrial AI platform for asset performance management, anomaly detection, and predictive maintenance across manufacturing and heavy equipment. It targets the same industrial vertical and use cases as Anomalyse, though typically at larger enterprise scale.
• Sight Machine: Sight Machine provides an AI/analytics platform for manufacturing operations, including real-time monitoring, anomaly detection, and root-cause analysis on factory data. It targets the same manufacturing analytics use cases as Anomalyse and represents a comparable direct competitor in plant-floor AI.
• SparkCognition: SparkCognition provides AI solutions for industrial applications including asset performance, anomaly detection, and predictive maintenance across energy, manufacturing, and heavy industry. It is highly comparable in offering AI-driven anomaly detection for industrial assets and competes for similar predictive maintenance budgets.

Broad incumbents

• Fiix (Rockwell Automation): Fiix is a cloud-based CMMS and asset maintenance platform acquired by Rockwell Automation. While primarily a maintenance management system rather than anomaly detection, it competes for the same maintenance budget and increasingly embeds predictive maintenance features that overlap with Anomalyse's value proposition.
• C3.ai: C3.ai is an enterprise AI application platform with industrial customers using its applications for predictive maintenance, anomaly detection, and process optimisation. It is a broader incumbent that overlaps with Anomalyse's predictive maintenance and process insights capabilities but addresses them as part of a much wider AI suite.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/anomalyse

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

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 ANOMALYSE LTD