Imagine making every important company decision in seconds –
logical, transparent, and fully optimized.
That’s exactly what Potassco Solutions delivers.
scroll to discover
01
Potassco Solutions is partnering with Krones to leverage ASP-based AI technology for dynamic, optimized configuration of systems, machines, and functionalities in the quotation process as part of the P.O.S. Program (Cluster Methodology). This collaboration ensures Krones’ long-term leadership in innovation within this domain and strengthens our competitive edge.
As part of an extended development partnership between Krones and Potassco, we aim to establish a solid foundation for Krones’ digital transformation and product portfolio through systematic knowledge exchange and a coordinated ASP technology roadmap.
Krones AG
02
After implementing Potassco’s route optimization solution, we noticed a clear improvement in our operations. Delivery times were reduced by 25%, and fuel costs dropped by 20%. These changes helped us work more efficiently and manage resources better. What stood out was how quickly the impact became visible – the return on investment was clear within the first month
Logistics Director, Major Retail Chain
03
Potassco has transformed our shift planning process. What used to be a time-consuming challenge is now handled in just minutes. This improvement hasn’t only saved time – it’s also reduced our overtime costs by 30% and helped improve staff satisfaction. It’s a practical solution that delivers real results.
Head of Operations, Regional Hospital Network
04
We’ve been impressed by Clasp’s capabilities. Developed by Potassco, it handled one of the most challenging optimization tasks we’ve seen – the U.S. radio spectrum reallocation. Utilized within the SAT-based Feasibility Checker (SATFC), Clasp solved 95% of instances in under a minute, helping save $5.1 billion in costs. The research leading to Clasp was honored with the Prominent Paper Award from the journal Artificial Intelligence in 2018.
Neil Newman, Alexandre Fréchette und Kevin Leyton-Brown (2017). Deep Optimization for Spectrum Repacking
05
Clingo is a powerful Answer Set Programming (ASP) grounder and solver from the Potassco project, the team led by Prof. Dr. Torsten Schaub at the University of Potsdam.
Spack is the de-facto standard for package management within the high-performance Computing (HPC) community. The core of Spack is the concretizer, a dependency and build configuration solver that selects an optimal build configuration from a nearly infinite space of options. Clingo has been an invaluable tool for the Spack project since 2020, when they replaced a custom, incomplete concretizer written in Python with a new implementation written using Clingo. Clingo’s expressiveness has enabled Spack to model complex dependency constraints and compose numerous optimization criteria into a single, coherent, maintainable solve – a feat that was intractable with their previous approach.
Spack: How a Logic Solver Tamed Supercomputer Software Complexity
We build custom AI solutions for large organizations facing complex optimization challenges that can’t be solved with off-the-shelf software.
Previously, these problems required manual work or makeshift solutions.
Now, our technology automates the entire process while keeping you in control.
We’re always open to partnerships with organizations whose expertise complements our own.
Shift planning in healthcare is complex, time-consuming, and inflexible when staff call out or patient volumes spike.
Our rule-based AI transforms your staffing expertise into automated, transparent decisions. Result: Perfect schedules in minutes – based on qualifications, availability,
and patient needs.
Potassco AI creates fair and transparent schedules in minutes, not days, instantly adjusts for call-outs, and scales to any department size.
Scaled resource allocation is extremely complex, computationally intensive, and overwhelms standard software – especially when millions of constraints must be solved in minutes and every error is expensive.
Our conflict-driven optimization AI translates your domain knowledge into automated, transparent decisions. The result: best-in-class solutions in minutes – thanks to domain-specific decomposition, intelligent caching, and a diverse set of strategies and heuristics; open, integrable, and extensible (open source).
Problems once considered “unsolvable” are now achievable. By leveraging open, field-proven optimization technology, you can solve more cases in the same time, making planning, supply chain, and compliance efficient, scalable, and future-proof.
Logistics and rail operations require the precise coordination of assets, routes, staff, and timing — under constantly changing conditions. Delays, demand fluctuations, and network constraints make planning a continuous balancing act. Traditional tools can’t handle the scale or real-time complexity, resulting in inefficiencies, missed connections, and increased operational costs.
Our rule-based optimization AI captures your domain-specific knowledge — from delivery schedules to rail slots, driver regulations, and load capacities — and transforms it into automated, conflict-free planning. It dynamically computes optimal routes, timetables, and resource allocations, and adapts instantly to disruptions or last-minute changes.
Modern production environments face the challenge of configuring complex machinery both flexibly and efficiently. Modular production lines create countless configuration options, making manual planning time-consuming, error-prone, and costly.
Potassco AI uses a declarative, knowledge-driven AI approach ideal for complex planning and configuration tasks. Instead of coding solution steps, one defines the conditions for valid solutions, and the system automatically generates all compliant combinations.
Potassco AI saves hours of manual work and eliminates costly errors. By capturing and reusing expert knowledge, it ensures consistent quality and accelerates every project.
Perfect design of products
and manufacturing processes
Fair and economical shift
planning
Routes that reduce costs
and save time
Scaled resource allocation
Trustworthy decisions
Transparent:
The ruleset (ASP) exposes the logic openly – easy to test and debug.
Reliable:
Mathematically correct – all specifications and constraints are guaranteed to be met.
Impactful:
Decisions are traceable and scalable – freeing staff from tedious planning work and enabling them to focus on what matters most.
Agile without rewrites
Flexible:
If requirements change, simply update the rules – the system remains stable.
Maintainable:
Separation of rules and solvers makes updates easy over time.
Cost-saving:
Changes require no recoding – drastically reducing development and maintenance effort.
Universal:
A powerful tool for many decision –
making tasks.
Efficient & optimal:
Smart algorithms quickly deliver the best solution based on your criteria.
Resource-friendly:
Faster decisions, fewer errors, less manual effort – resulting in tangible operational savings.