Optimisation-first AI services

At acmedis we turn complex operational and strategic questions into models you can run, audit, and improve. Our edge is mathematical optimisation — MIP and constraint programming for problems where 'good enough' costs real money — combined with AI systems built for production, not proof-of-concept.

We integrate your existing data, build analytical software around it, and connect the outputs to the decisions that separate business as usual from outperforming the market. Less slide deck. More working software.

"Strategy without a solver is a workshop. We do both."

What do we do?

Four challenge types. One through-line: defensible decisions under real-world constraints.

Mathematical optimisation

Resource planning, network design, portfolio choices, capacity allocation — when the combinatorics explode, we formulate the problem properly and solve it with MIP and constraint programming. Provably strong solutions, not heuristic guesses.

AI strategy & implementation

Where should AI earn a line in your budget? We map use cases to ROI, build prototypes that survive contact with real data, and deliver applications your teams actually adopt.

AI-readiness assessment

Before you scale, we stress-test your processes, data estate, and IT landscape. Clear, independent guidance on what is ready now — and what must be fixed first.

Document & language pipelines

LLMs where they add leverage: extracting structure from reports, routing correspondence, grounded Q&A over your knowledge base. Always wired into downstream models and workflows — not a chatbot sitting in a sidebar.

Our tools

Classical rigour where explainability matters. Modern AI where scale matters. Often both in one pipeline:

Mixed Integer Programming and constraint programming for NP-hard planning and allocation problems
Decision trees, Bayesian models, and interpretable ML for regulated, audit-ready decision support
Agentic workflows that automate multi-step processes with guardrails
Custom pipelines that combine optimisation, prediction, and language models end-to-end
Neural networks and LLMs for extraction, classification, and retrieval over unstructured text

Sectors

Commercial, non-profit, and semi-public organisations — wherever decisions are constrained by capacity, regulation, or competing objectives. We translate advanced modelling into daily operations: planning desks, policy teams, customer operations, and leadership.

Curious what this looks like in your context? Let's talk.