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.
HPC software builds involve countless custom options, creating an astronomical configuration space. Spack’s original solver couldn’t handle this complexity – missing valid solutions, hard to maintain, and unable to reflect user preferences – so a new approach was needed.
The Spack team adopted the Clingo solver to replace its ad-hoc solver, enabling a declarative approach to managing HPC build complexity. Instead of writing complex search algorithms, Spack now encodes rules and optimization goals, while Clingo efficiently finds the best solution.
By adopting Clingo and ASP, Spack replaced brittle imperative code with concise declarative rules. This shift unlocked rapid feature development and simplified maintenance.
The FCC’s 2016 – 2017 Incentive Auction was a landmark effort to reallocate 84 MHz of television spectrum for wireless broadband. This required buying spectrum from broadcasters and repacking thousands of TV stations into fewer channels without interference – a process with billions of dollars at stake.
Clasp, an AI-driven solver developed from Potassco Technologies, learns from conflicts – eliminating millions of impossible options instead of checking them one by one. Recognizing its potential, researchers at the University of British Columbia made Clasp the core of their SAT-based Feasibility Checker, combining conflict-driven learning with specialized optimization techniques to navigate an exponentially complex solution space efficiently.
Relying on our technology for speed and certainty, they achieved outstanding results: near-instant solutions for most queries (87% solved in just one second) , consistent accuracy, and no hallucinations – even on problems where alternatives fell short.
Ready to launch your solution?
Whether you have initial ideas or specific requirements – we can help you realize your Potassco AI solution.
Routes that reduce costs
and save time
Fair and economical shift planning
Perfect design of products and manufacturing processes
