DATAbility
DATAbility GmbH is a Darmstadt-based AI software company that builds decision intelligence platforms (AIDnow, CollecDA, SPAIREnow) for predictive maintenance, fault diagnostics, and service automation, serving enterprise customers across aviation, mobility, energy, manufacturing, and retail.
- Company typePrivate
- Founded2018
- HeadquartersDarmstadt, Germany
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What DATAbility does
DATAbility GmbH is a privately-held German artificial intelligence software company founded in 2018 as a spin-off of the Institute of Flight Systems and Automatic Control at the Technische Universität Darmstadt. The company builds AI-powered decision intelligence software for industrial and operational environments, combining engineering domain knowledge with machine learning, natural language processing, and computer vision under a proprietary framework it calls 'SMART Data.' Its core platform consists of AIDnow, which transforms machine, asset, and process data into predictive and diagnostic intelligence (anomaly detection, fault diagnosis, remaining useful life estimation), and CollecDA, a data collection and process automation layer that powers adjacent modules including SPAIREnow (image-based spare parts identification), filytics (deep fault intelligence), and Order Intelligence (automated order processing).
The company serves enterprise customers across aviation, transportation and mobility, energy and utilities, automotive, manufacturing, retail, and telecommunications, with a roster of named clients that includes Deutsche Bahn, MAN, Krone, Vodafone, Aldi, Entega, Pfalzwerke, Scheidt & Bachmann, Dunlop, and ewikon. Go-to-market is a consultative enterprise sales motion beginning with free workshops and proof-of-concept engagements before transitioning to product development and implementation. Revenue is generated through a mix of subscription SaaS, on-premise licensing, and professional services, with deployments available as standalone cloud applications or as integrations into enterprise platforms including ServiceNow (via implementation partner PLANHORIZON), SAP S/4HANA, and AWS. The company operates from Darmstadt, Germany, with a headcount of 1-10 employees and no disclosed external institutional funding.
DATAbility's stated economic value proposition is reduction of unplanned downtime, optimization of maintenance and service workflows, and cost reduction potential exceeding 50% in maintenance strategies through predictive and prescriptive analytics. Its three co-founders, Sebastian Baumann (CEO), Dr.-Ing. Christian Preusche (CTO), and Prof. Dr.-Ing. Uwe Klingauf (Strategy Consultant, formerly of Airbus Defense & Space and MBDA), lead the company with research lineage in flight systems and safety-critical control engineering.
DATAbility firmographics
Firmographics- Name
- DATAbility
- Legal name
- DATAbility GmbH
- Website
- https://datability.ai
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- DATAbility GmbH is a Darmstadt-based AI software company that builds decision intelligence platforms (AIDnow, CollecDA, SPAIREnow) for predictive maintenance, fault diagnostics, and service automation, serving enterprise customers across aviation, mobility, energy, manufacturing, and retail.
- Ownership category
- akta.pro rank
DATAbility industry classification
Industry- Product category
- Industrial AI Software
- NAICS
- Custom Computer Programming Services (541511), Software Publishers (5132)
- SIC
- Services-Computer Programming Services (7371), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Data Strategy & Governance Services (BPAEAHAA)
Keywords
Where DATAbility is headquartered
LocationHeadquarters
- HQ city
- Darmstadt
- HQ country
- Germany
- HQ region
- Europe
Offices2 records
Markets served
DATAbility business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure, Others
Revenue model
- Software-as-a-Service (SaaS): Cloud-based access to SPAIREnow and other solutions via web app or browser without additional system requirements. Flexible usage-based or subscription billing model.
- On-Premise License: Software licenses deployed within customer's existing IT infrastructure, offering full control during implementation and utilization.
- Professional Services: Consulting, workshops, proof-of-concept development, product development and implementation services. Includes knowledge management transformation and strategy consulting for AI deployment.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Pay-as-you-go | Software-as-a-Service subscription |
| One time/ perpetual license | Multi-year contract | On-premise license model |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
DATAbility product offering
Product offeringCore offering
DATAbility develops and sells AI-powered decision intelligence software that combines engineering domain expertise with machine learning to solve complex industrial challenges. Its products transform machine, asset and process data into actionable insights for predictive maintenance, fault diagnostics, spare parts identification, and process automation, delivered as SaaS or on-premise deployments and integrated with enterprise platforms such as ServiceNow and SAP.
Product overview
DATAbility offers a modular AI-powered decision intelligence platform for industrial applications. The core consists of AIDnow for predictive analytics, diagnosis and prognosis, and CollecDA for data collection and process automation. AIDnow serves as the foundation for specialized modules including filytics (fault intelligence) and sensor integrations (Sensor Bearing, sMachine). CollecDA powers SPAIREnow (spare parts identification) and Order Intelligence (automated order processing). The portfolio integrates with enterprise platforms including ServiceNow, SAP S/4HANA, and AWS. Solutions address predictive maintenance, fault diagnostics, spare parts automation, mobility intelligence, and condition monitoring across aviation, energy, mobility, and food production industries.
Differentiator
Problem solved
Functional benefit
Brands
- AIDnow: AI-powered analytics platform for machine, asset, and process data transformation into actionable intelligence. Supports predictive maintenance, anomaly detection, and fault diagnostics.
- CollecDA
- SPAIREnow
- filytics
- Order Intelligence
- sMachine
Products and services
- AIDnow Core AI-powered decision intelligence platform that transforms machine, asset and process data into actionable insights. Combines predictive analytics with engineering expertise for anomaly detection, fault diagnosis, remaining useful life prediction, and maintenance optimization. Targeted at industrial enterprises operating complex technical assets.
- CollecDA Data collection, process automation, and decision support platform that captures, structures, and enriches operational information from across an organization. Transforms field data, customer interactions, and business documents into structured knowledge and automated workflows. Targeted at enterprises needing to automate information-intensive processes.
- SPAIREnow Intelligent spare parts identification solution that uses image recognition to identify components from photos and provides recommendations for action, including repair documentation, ordering options, and service contacts. Built on CollecDA and available as SaaS web app or on-premise. Targeted at field service, after-sales, and customer support teams in industrial enterprises.
- filytics Deep fault intelligence module built on AIDnow that identifies patterns, prioritizes critical issues, and transforms large volumes of fault data into structured, actionable insights for production and after-sales operations. Targeted at enterprises with high volumes of fault and warranty data.
- Order Intelligence Automated processing solution for customer requests and order-related communication, powered by CollecDA. Enables automated order handling and data-driven operational insights for service processes. Targeted at service organizations handling large volumes of customer and order communication.
- Service and Availability Optimizer Predictive maintenance solution that optimizes machine and process data interpretation, including data acquisition optimization and custom-fit AI applications, transforming diagnoses and forecasts into comprehensible recommendations for action for service measures and spare parts. Targeted at industrial operators and manufacturers seeking to improve asset availability.
- Sensor Bearing (AIDnow + Sensor) Condition monitoring solution combining AIDnow with retrofittable impedance sensors for bearing load measurement, monitoring wear, lubrication, and force conditions in a single integrated solution. Targeted at industrial operators needing continuous condition monitoring of bearings and rotating equipment.
- sMachine (AIDnow + sMachine) IoT-enabled machine connection and data management solution for food production and industrial environments, integrating predictive production analytics with existing ERP, MES, PPS, and CMS systems. Targeted at food production and discrete manufacturing operators.
Quantifiable outcome
- Cost reduction of more than 50% through AI implementation in maintenance strategies
- +3 more outcomes
Companies that use DATAbility
Customer profileNamed customers13 records
Segments6 records
Ideal customer profiles4 records
DATAbility technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability11 records
Feature6 records
DATAbility partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered strategic and core.
- Scheidt & BachmannstrategicPresented spare part recognition application at Parken Conference 2019. Partnership involved integrating AI-powered spare part identification with ServiceNow platform for parking system customer service, asset management and field service operations.
- Institute of Flight Systems and Automatic Control (Tu Darmstadt)coreResearch and development partner specializing in aviation technology. Conducts application-oriented research in predictive maintenance and control of unmanned aerial vehicle systems. Focuses on fully autonomous operations. DATAbility originated as a spin-off from this institute.
- PLANHORIZON GmbHcoreServiceNow consulting, implementation and technology partner with 12 years of experience in Customer Service Management. Supports customers to use ServiceNow platform modules. Serves major German companies in pharmaceutical, life sciences, automotive, aerospace and high-tech industries.
- Mobility Portal (vedisys AG and dsb Group)strategicFull-service IT solutions for transportation combining public transport and e-business expertise. vedisys has been designing AMIS solutions since 1996 for sales, subscription management, tariff systems and school transport administration.
Scale indicators2 records
Recent moves7 records
Expansion highlights6 records
DATAbility competitors and assessment
Company assessmentDirect peers
- Augury: AI-based asset reliability and condition monitoring platform using sensors + machine learning to predict failures and optimize maintenance. Closely comparable to AIDnow + Sensor Bearing for industrial customers.
- C3.ai: Enterprise AI software provider delivering pre-built and configurable AI applications for predictive maintenance, fraud, and supply chain across industrial customers. Direct overlap with DATAbility's industrial AI/decision-intelligence pitch at the application layer.
- Uptake: Industrial AI and predictive analytics platform for asset-intensive industries (rail, aerospace, manufacturing), offering prognostics, anomaly detection, and maintenance optimization. Closest functional overlap with AIDnow.
- Braincube: Industrial AI and data analytics platform purpose-built for manufacturing, enabling production optimization, OEE improvement, and predictive maintenance. Strong analogue to AIDnow for discrete and process manufacturers.
- Sight Machine: Manufacturing analytics platform combining factory data, AI, and edge connectivity to improve yield, quality, and OEE. Directly comparable to DATAbility's sMachine + AIDnow stack for industrial environments.
- SparkCognition: AI-driven predictive maintenance, anomaly detection and asset-optimization software for industrial, energy and defense customers. Overlaps with DATAbility's predictive analytics and aviation-defence roots.
Emerging players
- Presenso: AI-based predictive maintenance solution for industrial assets, focusing on unsupervised anomaly detection on sensor streams. Functionally adjacent to AIDnow but narrower in scope.
Broad incumbents
- IBM Maximo Application Suite: Enterprise asset management platform with embedded AI for predictive maintenance, condition monitoring, and reliability. Competes with AIDnow at the EAM layer for large industrial customers.
- SAP (Predictive Maintenance / S/4HANA AI): Major ERP/asset management suite provider that natively integrates AI-driven predictive maintenance and asset analytics, into which DATAbility integrates. Both collaborator and competitive incumbent for the same IT budget.
- AWS (Lookout for Equipment / Monitron): Cloud hyperscaler offering built-in predictive maintenance services (Lookout for Equipment, Monitron, Lookout for Metrics) that overlap with DATAbility's analytics/diagnostics capabilities on the same AWS stack DATAbility integrates with.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
DATAbility social profiles
Digital presenceDATAbility financial estimates
Financial estimateRevenue estimate
Valuation estimate
DATAbility leadership team
Management profileNumber of profiles
Profiles3 records
DATAbility funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DATAbility 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 DATAbility
What does DATAbility do?
DATAbility develops and sells AI-powered decision intelligence software that combines engineering domain expertise with machine learning to solve complex industrial challenges. Its products transform machine, asset and process data into actionable insights for predictive maintenance, fault diagnostics, spare parts identification, and process automation, delivered as SaaS or on-premise deployments and integrated with enterprise platforms such as ServiceNow and SAP.
Is DATAbility a public or private company?
DATAbility is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was DATAbility founded?
DATAbility was founded in 2018. It employs 1 to 10 people.
Where is DATAbility based?
DATAbility is headquartered in Darmstadt, Germany, in the Europe region.
How does DATAbility make money?
Three revenue lines are on record. Software-as-a-Service (SaaS) is the primary driver. The others are on-Premise License and professional Services.
Who are DATAbility's main competitors?
Direct peers on record are Augury, C3.ai, Uptake, Braincube, Sight Machine and SparkCognition. Presenso is listed as an emerging player. Broad incumbents are IBM Maximo Application Suite, SAP (Predictive Maintenance / S/4HANA AI) and AWS (Lookout for Equipment / Monitron).
Does DATAbility have an API?
No public API is recorded for DATAbility.
What industry is DATAbility in?
DATAbility's product category is Industrial AI Software. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAEABAD, Data Platform (Unified Data & Analytics) Suites. Its NAICS code is 541511 and its SIC code is 7371.