Use Cases
From data-driven decision-making and enhanced efficiency to improved customer experience and innovative product offerings: Learn about the transformative impact of data and AI on your operations.
Automation in Agriculture
A platform that applies AI to satellite images to monitor field variability, predict yields, and plan field operations.
Learn moreMonitoring Heart Health
The traditional approach to diagnosing heart disease involves a visit to a clinic or hospital for an electrocardiogram (ECG), which can be time consuming, costly and inconvenient for continuous monitoring. A portable and easy-to-use personal ECG device with AI technology can be a worthwhile alternative.
Learn moreEnhancing Agricultural Yield with Precision Farming
Agriculture can benefit greatly from Machine Learning by using data to make decisions about planting, maintenance, and harvesting, to optimize yields and reduce waste.
Predictive Maintenance in Manufacturing
Predictive maintenance in manufacturing uses Machine Learning to predict when a machine is likely to fail, enabling just-in-time maintenance to prevent downtime without unnecessary inspections.
Global Enterprises
In multi-divisional global enterprises, Data Mesh enables individual business units to take ownership of their data as a product, improving data quality and accessibility. A global interoperability layer ensures seamless collaboration and insight across the enterprise.
Regulatory Compliance for Financial Services
In financial services, Data Mesh helps streamline regulatory compliance. Each data product can have its own customized policies and controls, simplifying compliance with strict standards. This localized approach improves the auditability and transparency of compliance efforts.
Personalized Customer Experiences and Supply Chain Management in the Beauty industry
Decentralizing data management puts domain-specific teams in charge, enabling rapid personalization and operational efficiency to meet customer demands.
Predicitve Maintenance in Manufacturing
Equipment failure in manufacturing can lead to costly downtime and maintenance. A Data and Machine Learning Platform offers the infrastructure to implement predictive maintenance by leveraging data analytics and machine learning.
Interdepartmental Data Sharing
In interdepartmental data sharing, Data Contracts provide a shared data framework that facilitates effective communication and builds trust between departments. The result is a streamlined integration that enhances data quality throughout the organization, yielding long-term benefits.
Third-Party Data Exchanges
In the context of exchanging data with third parties, Data Contracts play a critical role in ensuring security and compliance. They establish protocols for data management that promote responsible practices and alignment with legal and quality standards. This, in turn, diminishes risk for organizations and their external associates.
Machine Learning Models
In the business context of machine learning, Data Contracts are vital protectors of model performance. They establish concise criteria for data quality, volume, timing, and structure. Their purpose is to guarantee that machine learning models always obtain the appropriate data for superior performance, despite changing data environments.
Our Services
AI Products
We design and develop products that leverage artificial intelligence (AI) technologies to automate and improve various aspects of business operations, technology, and consumer services.
Data and ML Engineering
Our software and data engineers design, develop, and deploy machine learning models into production systems.
Data Mesh
Introducing Data Mesh requires organizational, technical, and cultural change. We offer consulting, assistance and tools to enable your leaders and engineers to take ownership and build trustworthy data products.
Platform Engineering
We help you to develop, construct, and refine the foundational infrastructure that supports and drives data and AI solutions.
Knowledge Transfer
Our data and AI experts love to share their technical knowledge and practical experience with you.
40 %
Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, produced 40% higher quality results.
2024
By 2024, it's anticipated that 80% of all customer interactions in e-commerce will be handled by AI.
39 %
AI can enhance efficiency and profitability in the manufacturing sector. It's forecasted to increase the share of profit by 39%.
Why INNOQ?
For more than 20 years, our employees have been consulting SMEs and corporations and successfully realizing all kinds of IT systems. Our expertise is backed by many years of practical experience – in software architecture and development, digital platforms and infrastructures, and digital product development. For us, technology has no self-purpose, but is the basis of solving real problems.
Before we give advice, we listen
Before we convince you, we convince ourselves
The result: Technology that moves everyone forward
190 employees
300+ customers
Since 1999
We’d love to assist you in your digitalization efforts from start to finish. Please do not hesitate to contact us.
Successful projects
In-depth trainings
In cooperation with our partner
Get to know our primers
2023
Architecting MLOps. Von der AI Strategie zur MLOps-Plattform
data2day / 10:15 – 11:00
2023
Architecting MLOps. Von der AI Strategie zur MLOps-Plattform
data2day / 10:15 – 11:00