Useful things to know before making contact

Binastel primarily works with SMEs and research-led organisations that have complex data, document-heavy work or analytical decisions but do not need—or do not yet have—a large in-house specialist team. Specialist experience includes biotechnology, healthcare, universities and organisations working with complex scientific or regulated data.

Most work begins with a focused scoping discussion or feasibility review. The question, available data, constraints, deliverables and decision points are agreed before implementation begins.

Depending on the project, Binastel can provide feasibility assessment, prototyping, implementation, evaluation, documentation and technical handover. Production hosting, security, integration and ongoing support requirements are agreed explicitly as part of the project scope.

Useful forecasting normally requires a consistent history of the outcome being forecast, relevant dates and any important explanatory factors. Data quality, coverage, seasonality and the decision horizon are assessed before a model is recommended.

A/B testing is most useful when there is sufficient customer, transaction or operational volume and a change can be applied consistently to comparable groups. Where randomisation is not feasible, alternative evaluation designs can be considered.

Data-handling requirements, access arrangements and appropriate working environments are agreed before any data is transferred. Confidential, personal, health or commercially sensitive information should not be included in an initial enquiry.

Yes. An initial assessment can examine the use case, data, constraints, evaluation needs, risks and whether AI is proportionate to the problem.

Yes. The right engagement may involve inference, prediction, or both. The method is chosen from the question rather than from a preferred technology.

Yes. Reviews can cover study design, code, assumptions, validation, uncertainty, interpretation and practical risks.

Yes. A proof of concept is scoped around a specific uncertainty and includes explicit evaluation criteria so it supports a build, revise or stop decision.

Targeted technical training and workshops can be included where they support implementation or improve a team’s ability to maintain the work.

Scope and pricing depend on the question, data readiness, technical constraints, outputs and timescale. No fixed price or availability is assumed before an initial discussion.