What ai-omatic solutions does

ai-omatic solutions GmbH is a Hamburg-based AI software company specializing in predictive maintenance for industrial machinery. The company develops a cloud-based SaaS platform that applies proprietary machine learning to real-time sensor data from production equipment, detecting anomalies and predicting equipment failures before they cause unplanned downtime. The software processes both numerical sensor data — including temperature, vibration, pressure, speed, and energy consumption — and categorical data such as product recipes and operating modes, using adaptive thresholds and an algorithm that learns normal operating states from the first day of data connection without requiring historical labeled training data. The platform integrates with existing IT infrastructure via standard industrial protocols (OPC UA, MQTT) and is hosted on Microsoft Azure with ISO/IEC 27001 certification and stated compliance with GDPR and the EU AI Regulation.

The company offers three modular product packages: Predict (software-only for customers with existing sensor infrastructure), Retrofit (a plug-and-play hardware-plus-software bundle pairing aiomatic's AI with KSB-Guard temperature and vibration sensors for rotating machinery), and Retrofit & Predict (a combined package). Revenue is generated primarily through annual SaaS subscriptions priced by data channel count, supplemented by professional services including Proof of Concept engagements, workshops, and historical data analysis. Go-to-market combines a sales-assisted motion targeting mid-market and enterprise industrial customers with self-serve website entry points including free dashboard signup, demo requests, and free machine/use-case analysis.

aiomatic serves mid-sized manufacturing companies, large industrial enterprises, and machine manufacturers across verticals including pharma, energy, food, manufacturing, automotive, and machinery engineering. Named customers include Siemens, Nitto, Canyon Bicycles, Hansaport, Stadtwerke Barsinghausen, Rausch, Brüggen, EWE, Innomotics, Petcom, and SSE (Schleswig-Holstein Netz AG). The company monitors more than 2,000 machines across its customer base and reports that more than 100 companies have validated their machine data through its potential analysis process. As of January 2024 the company had raised €2 million in seed funding from Haufe Group Ventures, 4TreeCapital, Innovationsstarter Fonds Hamburg, and strategic partner KSB SE & Co. KGaA, which also serves as a co-development and distribution partner.

Name

ai-omatic solutions

Legal name

ai-omatic solutions GmbH

Website

https://ai-omatic.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Short description

ai-omatic solutions GmbH is a Hamburg-based SaaS company applying proprietary AI anomaly detection to industrial machinery for predictive maintenance. The platform serves mid-market and enterprise manufacturers across energy, food, pharma, and automotive sectors, with named customers including Siemens and Nitto.

Ownership category

akta.pro rank

Product category

Industrial Predictive Maintenance Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Industrial Automation Software (SCADA, HMI, MES, Historian) (IMAHAHAJ)

akta.pro secondary industry

Model Monitoring, Accountability & Incident Management (HDAAAMAF)

Keywords

• Predictive maintenance software
• Anomaly detection platform
• Industrial AI software
• Machine condition monitoring
• SaaS maintenance solutions

Headquarters

HQ city

Hamburg

HQ country

Germany

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 (Predict Package): Software-only AI anomaly analysis package for customers who provide their own sensor and process data. Sold as a subscription with pricing based on the number of data channels monitored. Delivered via cloud dashboard with optional onboarding and consulting services.
2. SaaS Subscription (Retrofit Package): Plug & Play hardware + software bundle with KSB temperature and vibration sensors. Includes the AI software (KSB-Guard data only, without full process data). Subscription model with pricing dependent on channel count.
3. SaaS Subscription (Retrofit & Predict Combo): Combined package leveraging both KSB-Guard sensor data and additional customer sensor/process data. Highest-tier offering covering the full monitoring and AI analysis stack.
4. Professional Services (PoC, Workshops, Data Analysis): Onboarding & consulting services including Proof of Concept engagements, implementation workshops, and historical data analysis. These are offered alongside the core SaaS subscription to support customer adoption.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels8 records

Core offering

ai-omatic solutions develops and sells an AI-driven predictive maintenance SaaS platform that connects to industrial machines via standard digital interfaces (OPC UA, MQTT) and analyzes real-time sensor and process data to detect anomalies and predict failures. The offering is delivered as three subscription packages — Predict (software only), Retrofit (bundled with KSB plug-and-play sensors), and Retrofit & Predict (combined) — complemented by Proof of Concept, Workshop, and Historical Data Analysis services. The software runs on Microsoft Azure (ISO/IEC 27001 certified) and learns each machine's normal operating state from day one without requiring historical labeled data.

Product overview

ai-omatic solutions offers a modular predictive maintenance software platform consisting of three product packages: Predict (AI software integrating customer sensor data), Retrofit (Plug & Play solution with KSB sensors), and Retrofit & Predict (combined package). The platform is complemented by services including Proof of Concept, Workshop, and Historical Data Analysis. The software provides machine monitoring through real-time data acquisition and condition monitoring capabilities, with AI-powered anomaly detection enabling predictive maintenance across various machine types including pumps, conveyors, extruders, agitators, and fans/blowers. The company targets mid-sized production companies, large industrial enterprises, and machine manufacturers across industries including pharma, energy, food, manufacturing, automotive, and machinery sectors.

Differentiator

Problem solved

Functional benefit

Products and services

• Predict AI-supported anomaly analysis software for all machine types. Provides the AI software without sensors, integrating customer's existing machine data (sensor and process data) for predictive maintenance and early fault detection. Sold as an annual subscription with pricing based on the number of data channels monitored.
• Retrofit Plug & Play system for AI-supported anomaly analysis using KSB sensors. Suitable for rotating machinery, providing temperature and vibration data via KSB-Guard without requiring existing sensor infrastructure or process data. Sold as an annual subscription priced per channel/sensor.
• Retrofit & Predict Combination package integrating both Predict and Retrofit capabilities. Collects temperature and vibration data via KSB-Guard along with additional sensor and process data for comprehensive predictive maintenance monitoring. Highest-tier subscription with custom pricing per deployment.
• Proof of Concept Non-binding test phase that allows prospective customers to validate the feasibility and benefits of aiomatic's predictive maintenance solution on their own machines before subscribing to a full package.
• Workshop Training and onboarding service to help customers understand and implement aiomatic's predictive maintenance software effectively. Offered as standalone or bundled consulting engagement alongside the software subscription.
• Historische Datenanalyse (Historical Data Analysis) Analysis service that evaluates existing historical machine data to assess data quality and the potential value of predictive maintenance implementation for the customer.

Quantifiable outcome

• Reduce maintenance costs by 25–30%
• +5 more outcomes

Named customers11 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability4 records

Feature6 records

Partnerships

Two partnerships are on record, tiered core.

• KSB SE & Co. KGaAcoreStrategic or Co-development Partner · 11 January 2024KSB SE & Co. KGaA is a strategic partner and investor in aiomatic. KSB is a leading pump and valve manufacturer. The partnership involves co-development of the Retrofit package, where aiomatic's AI software is bundled with KSB-Guard sensors (temperature and vibration) for plug-and-play predictive maintenance on KSB rotating machinery. The partnership is co-branded (visible in logo on aiomatic's website).
• Microsoft AzurecoreTechnology or Integration · 11 January 2024aiomatic's cloud software is hosted on Microsoft Azure, which is ISO/IEC 27001-certified, ensuring a secure and scalable infrastructure for the SaaS platform. Azure is the underlying data infrastructure for all customer data storage and processing.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Augury: AI-driven machine health and predictive maintenance SaaS for industrial assets. Closest direct competitor — both sell AI anomaly detection for rotating equipment and condition monitoring via OEM-style hardware bundles (Vibration AI, Process AI) and software-only deployments to enterprise industrial customers.
• Samotics: Dutch AI-based predictive maintenance provider focused on rotating equipment (motors, pumps, fans) using electrical signature analysis. Highly comparable in target segment (rotating machinery), customer profile (European industrials), and OEM/sensor partnership-led distribution model.
• Uptake: Industrial AI platform offering predictive maintenance, asset performance management and failure prediction for heavy industry and fleet operators. Comparable as a pure-play AI-on-machine-data vendor serving large industrial customers with similar enterprise GTM.
• Senseye (Siemens): AI-based predictive maintenance software now owned by Siemens. Directly comparable product (ML-driven asset health forecasting) and a notable indirect threat because Siemens is itself a customer/partner of aiomatic, illustrating both vertical overlap and channel risk.
• SparkCognition: Enterprise AI company with industrial predictive maintenance, asset reliability and asset performance management offerings. Comparable as a vendor applying ML to industrial sensor data for downtime reduction across energy, manufacturing and defense verticals.

Broad incumbents

• C3.ai: Enterprise AI application platform with a dedicated predictive maintenance suite (C3 AI Reliability) covering similar use cases. Not specialized like aiomatic but addresses the same buyer (operations leaders at large industrials) with a much broader portfolio and substantially greater capital resources.
• IBM Maximo Application Suite: Enterprise asset management and predictive maintenance suite from IBM. Competes in the same RFPs for industrial monitoring and reliability programs, but as a broad incumbent platform with installed-base and integration advantages rather than a focused AI-anomaly startup.
• Fiix (Rockwell Automation): Cloud CMMS / asset maintenance management platform acquired by Rockwell Automation. Adjacent rather than direct — focuses more on maintenance workflow than ML anomaly detection — but increasingly bundles predictive capabilities, competing for the same maintenance-technology budget.
• AWS Monitron / Amazon Lookout for Equipment: Amazon's purpose-built industrial predictive maintenance services (Monitron for end-to-end sensor + ML, Lookout for Equipment for existing-sensor customers). Hyperscaler incumbent with pricing power, bundled cloud credits and enterprise reach that can pressure niche AI-maintenance startups.

Emerging players

• Limble CMMS: Modern cloud-based CMMS / asset maintenance management platform with growing predictive features and a self-serve mid-market motion. Comparable in target buyer (maintenance leaders at mid-market industrial firms) and overlapping on condition monitoring and work-order automation.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/ai-omatic-solutions-gmbh

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds4 records

Investors6 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 ai-omatic solutions