Services

Focused engagements for difficult analytical and technical problems

Binastel helps SMEs and research-led organisations with complex data, document-heavy work and analytical decisions. Engagements are shaped around the outcome you need—not a predetermined platform or model.

Packaged starting points

Begin with a defined decision and practical deliverables

These engagements provide a clear place to start. Scope, data requirements, evaluation and boundaries are agreed before implementation.

Document intelligence and reporting automation

Build a reviewable AI-assisted workflow that finds evidence across internal documents and helps prepare proposals, reports, technical responses or other recurring content. Begin with one defined workflow, evaluate retrieval quality and source accuracy, and establish a practical route towards wider implementation.

Document ingestion and preparation
Semantic search or retrieval-augmented generation
Source-linked answers and draft content
Reusable report or proposal templates

Forecasting and planning

Use historical business data to forecast demand, sales, workload, revenue or capacity. Compare appropriate models with simple baselines, quantify uncertainty and turn the results into practical planning scenarios.

Demand, sales, workload or capacity forecasts
Staffing, inventory and cash-flow scenarios
Forecasts by product, service, location or customer segment
Backtesting against simple baselines

Resource allocation and scheduling optimisation

Turn operational objectives and constraints into a practical allocation or scheduling model. Evaluate how staff, equipment, stock, budgets or project capacity can be deployed more efficiently.

Staff or technician scheduling
Consultant-to-project allocation
Equipment and production scheduling
Inventory or replenishment decisions

Experiment design and causal evaluation

Design and analyse reliable tests of changes to pricing, communications, products or operational processes. Define the hypothesis, outcome measures, sample requirements and decision criteria before implementation.

Experiment design and hypothesis definition
Outcome, guardrail and decision metrics
Sample-size or power analysis
Randomisation strategy

Discuss a starting engagement See evidence behind the work

Broader capabilities

Technical support for bespoke projects

These capabilities can support a packaged starting engagement or a carefully scoped bespoke project.

AI and machine learning consulting

Identify practical AI opportunities and develop machine-learning systems that automate prediction, classification and prioritisation.

Large language models and natural language processing

Build practical systems for extracting, finding and using information held across documents, reports and other text-based resources.

Business forecasting, experimentation and optimisation

Use your existing business data to forecast demand, evaluate changes and improve how you allocate money, stock, staff and time.

Scientific and biomedical data analysis

Apply rigorous statistical and computational methods to complex biological, clinical and scientific datasets.

Technical advisory and training

Provide independent technical guidance, strengthen analytical projects and help teams use AI and data methods with greater confidence.

Start a conversation

Not sure which service fits?

Describe the problem and the decision you need to make. The first conversation can determine whether there is a sensible, proportionate route forward.

Discuss a project