Data analysis & automation
Python, R, SQL and Bash are used to turn fragmented data and manual processes into maintainable analyses, automated workflows and practical decision tools.
Expertise
Technical expertise applied to practical decisions
Binastel combines statistical reasoning, AI, scientific domain knowledge and practical implementation to solve commercial and technical problems. Methods are selected according to the decision, the available data and the value they can realistically deliver.
Machine learning
Prediction, classification and prioritisation models are developed around the commercial cost of errors, the available evidence and how the results will be used.
Forecasting & optimisation
Statistical, Bayesian and simulation-based methods help forecast demand, compare scenarios and identify better pricing, operational or engineering decisions.
NLP, LLMs & knowledge systems
Information extraction, semantic search, RAG and LLM evaluation make documents and specialist knowledge easier to search, structure and use.
Scientific & biomedical analytics
Bioinformatics, genomics, statistical genetics and high-dimensional data methods support biotechnology, healthcare and research-led organisations.
Scalable computation
High-performance and cloud-computing workflows make demanding analyses faster, reproducible and proportionate to the value of the problem.
Reliable technical delivery
Versioned code, documented environments, structured validation and clear handover reduce technical fragility and dependence on undocumented processes.
Decision-focused communication
Technical findings are translated into clear conclusions, limitations, options and recommended actions for technical and non-technical stakeholders.
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