Intelligence That Works
At KEBA Digital, AI-native intelligence emerges from the combination of state-of-the-art AI technologies, software and platform expertise, and decades of accumulated domain knowledge and systems understanding. This foundation enables digital solutions that not only excel technologically, but also scale effectively and deliver impact across complex system landscapes. Software is not developed in isolation, but from real-world practice, aligned with specific challenges, existing IT/OT and process environments, and established structures. We integrate rather than merely add, and we orchestrate rather than simply analyze.
From transformative digital strategies and intelligent software solutions to scalable AI platforms, we develop, integrate, and operate end-to-end solutions for real-world operating environments. We reduce complexity and create space for what truly matters. Decisions become faster, more precise, and more objective, enabling a new level of operational control. With interdisciplinary teams of technology, AI, and design experts, we build the next generation of digital systems: AI-native, scalable, and relentlessly focused on delivering real business value.
End-to-End Delivery
AI-native Digital Solutions
AI-native digital solutions at KEBA Digital are developed either as custom software or as modular, scalable products and platforms. Both approaches follow a clear principle: they are designed for deployment in real-world environments and integrate seamlessly into existing IT/OT landscapes as well as broader system and process ecosystems.
While custom software addresses specific requirements precisely within a given system context, products and platforms consolidate proven logic and make it reusable and scalable across multiple applications. This creates the foundation for efficiently extending functionalities and modules to additional use cases and operational contexts.
Custom AI Software
Custom-developed, AI-native software at KEBA Digital is built on a deep understanding of real-world system, data, and process interdependencies. It is tailored specifically to the respective environment and spans the entire solution lifecycle—from use case definition and architecture to integration and stable operation within the live system environment.
Advisory, Software Development, and Software Operations at KEBA Digital are not separate services, but interconnected disciplines that build on one another throughout the entire solution journey.
Advisory creates clarity around system interdependencies, trade-offs, and sustainable architectures. Software Development translates this logic into integrated, AI-native systems. Operations ensures that solutions remain stable and effective in real-world operation.
Digital Products & Platforms
Scalable digital products and platforms at KEBA Digital emerge from recurring requirements in real-world industrial and operational environments. Complementing custom solutions, we consolidate proven decision-making and control logic, standardize industry-tested approaches, and transform them into modular, robust, and scalable product and platform architectures.
Industrial systems deliberately serve as the benchmark. Requirements for robustness, security, integration, and operational reliability are exceptionally high in these environments. Precisely for this reason, the underlying logic, architectures, and modules can also be applied beyond industry—wherever systems are complex, data is used under real-world conditions, and digital solutions must remain sustainable and effective over the long term.
Digital Advisory
With clear roadmaps, prioritized use cases, and scalable architectures, we create the foundation for digital transformation with measurable impact.
Software Development
From AI applications to enterprise platforms: we develop software that reduces complexity and creates real value.
Software Operations
We ensure the smooth operation of your solutions with cloud services, continuous optimization, and maximum performance.
Where Intelligence Delivers
Solution Areas for AI-native Software Solutions
KEBA Digital solutions deliver value wherever data, systems, and processes converge and where solutions must perform reliably under real-world conditions. These applications can be structured across three core solution domains that have proven themselves in live operational environments. Intelligence is not deployed in isolation, but implemented as an integral part of decision-making and control logic—continuously updated and permanently embedded within the broader system context.
In complex systems, it is not individual predictions that matter most, but the ability to identify, assess, and reliably evaluate developments, risks, and deviations at an early stage. Forecasting therefore answers the question: What is likely to happen? We develop AI-native forecasting and early warning systems built on real operational, process, and condition data, incorporating uncertainty in a structured and transparent way.
The underlying models are designed for deployment under real-world operating conditions. They work reliably with condition, process, and event data, historical trend information, and relevant external influencing factors—even in heterogeneous and incomplete data environments. The solutions leverage combined modeling and evaluation approaches, including:
- Statistical and probabilistic models for estimating potential future developments
- Learning models for pattern recognition and anomaly detection
- Scenario, threshold, and risk indicators for the early assessment of critical conditions
Forecasts are embedded within decision-making and control contexts and are not viewed in isolation. Instead, they serve as the foundation for downstream control and action systems.
In practical terms, customers receive robust forecasting and early warning capabilities that reliably predict key operational planning and performance metrics—such as demand, volumes, requirements, utilization levels, or potential failures. These capabilities make uncertainty transparent and highlight deviations at an early stage.
As an integrated component of existing systems, these forecasting logics remain continuously available and provide a reliable foundation for planning and operational control.
Typical use cases include predictive risk and demand analysis in business-critical systems, as well as planning scenarios across the operational value chain—from procurement and inventory planning to production planning.
This solution domain addresses the question: How can we control and operate an entire system as optimally as possible? Complex situations arise from competing objectives, hard constraints, and dynamic conditions. KEBA Digital maps these factors into control and regulation mechanisms by modeling trade-offs, constraints, and system states as formal components of the system logic.
The focus is not on individual decisions, but on the stable and consistent control of the overall system. The goal is to ensure that systems remain consistent, controllable, and resilient even as conditions change.
The approach targets operational systems in which key business metrics—such as throughput, utilization, quality, energy consumption, or availability—must be continuously balanced against real-world constraints, including capacities, regulatory frameworks, safety requirements, and time dependencies. The control logic intervenes continuously within the system, not at isolated points in time, but as an ongoing process.
To achieve this, decision-making and control logic leverage combined data sources from operational systems. These include process, planning, resource, and rule-based data, supplemented by relevant external influencing factors wherever they are critical to decision-making.
The solutions leverage combined approaches, including:
- Formal optimization and control logic, including optimal control methods where systems can be modeled accordingly
- Simulation- and scenario-based methods for evaluating system behavior
- Rule-based, constraint-based, and state-based control mechanisms for ongoing operations
These logics are deeply embedded within existing control and execution processes, making trade-offs, constraints, and system states explicit components of the system mechanics. Customers benefit from integrated control logic that consistently reflects complex decision trade-offs within the system, enabling stable and transparent system management. As a reliable foundation for operational control under real-world conditions, these capabilities function much like an intelligent control center for the entire system.
Typical application scenarios include industrial, logistics, and infrastructure environments where planning, control, and operational execution must be tightly coordinated. From production and resource management to continuous process and plant control, these systems are designed to operate stably and reliably—even without direct human intervention.
In many contexts, the number of possible options is not what matters most—it is the ability to prioritize them at the right moment. This solution domain answers the question: What is the next best action right now, and where will it create the greatest impact?
While Decision Support & Control focuses on managing an overall system, Recommendation, Prioritization & Next Best Action is specifically designed for people- and action-facing processes, where decisions must be made on a case-by-case basis. We develop AI-native prioritization and recommendation systems that systematically combine context, objectives, and cause-and-effect relationships.
These solutions are built on usage, context, and state data from existing applications and processes. Historical patterns and current conditions are analyzed together to derive priorities in a consistent and reliable manner.
The approaches used include:
- Scoring and ranking models to compare and evaluate possible actions
- Context-aware and rule-based prioritization and recommendation systems
- Learning mechanisms for the dynamic adjustment of priorities
These logics are applied wherever a large number of possible actions compete for limited time, attention, or resources. They reduce complexity by directing attention and priorities in a targeted manner, consolidating available options, and enabling the right next steps to be identified and initiated at the right time.
In practical terms, customers receive integrated prioritization and recommendation capabilities that consistently support situational decision-making and embed clear next actions within the respective application context. These logics are permanently available as part of existing applications—not for controlling systems, but for effectively supporting human or interaction-driven decisions.
Typical use cases include operational, user-facing, and customer-centric processes, such as service and sales, marketing and communication workflows, field service operations, and digital applications. In all environments where actions, content, tasks, or interactions need to be prioritized and triggered at the right moment, these systems provide targeted support.
AI in Action: Discover Use Cases
Industrial AI
Increase efficiency, ensure quality, and intelligently connect processes – AI is opening new pathways to smarter industrial production.
AI in Logistics
Greater transparency, fewer bottlenecks: AI supports logistics with planning, control, and the intelligent use of resources.
AI for Banking & Insurance
Faster decisions, greater security: AI makes financial processes more efficient and helps identify risks at an early stage.
AI for Retail
From procurement to customer experience: AI helps optimize assortments, better understand demand and customer behavior, and create seamless digital services.
The future won't wait!
The future won’t wait—and neither will opportunity. Speed, scalability, and innovation determine who leads tomorrow. We believe transformation does not begin with big words, but with bold action. That is why we combine technology, strategy, and deep industry expertise.
to turn ideas into solutions that deliver real impact. Together, we create digital platforms, intelligent software, and AI-native products that not only transform processes but also redefine entire business models. Let’s not just predict the future—let’s build it together.
Your Benefits
with KEBA DIGITAL
Risk Mitigation
Early detection of credit and default risks through predictive analytics
Transparency & Compliance
Explainable AI enables transparent and traceable AI models
Increased Efficiency
Automated credit decisions in real time
Scalability
Suitable for banks, leasing companies, and fintechs
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