OUR TECHNOLOGY APPROACH

Components suited to the project.

We assess data, computing, model and integration components against project requirements. Technology names do not represent partnership claims.

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MODELLING APPROACHSchematic illustration

Different sources. One framework.

Data analysisWe organise data sources and examine patterns and relationships in the context of the business problem. Schematic illustration.
  • Data sources
  • Analysis framework
  1. Data sources
  2. Data analysis
  3. Decision support
We organise data sources and examine patterns and relationships in the context of the business problem.

AWS

The foundation beneath the workload. Tools for storage, services and data flows help us shape cloud architectures around a project’s scale.

Google

From data to questions, from questions to findings. An ecosystem we use to connect analytics and AI components with the way data teams work.

NVIDIA

Parallel capacity for demanding computation. GPU-based infrastructure is one of the options we evaluate for model processing and intensive workloads.

OpenAI

A layer between language and workflow. We connect text and document capabilities with scoped applications and tool integrations.

Anthropic

Context and carefully defined tasks. We configure instructions, available information and review steps around the needs of a language-model workflow.

Data and access

We consider where data lives, who may access it and which systems it needs to connect to.

Performance and cost

We evaluate workloads, response times and operating costs together to choose a suitable approach.

Fit with everyday work

We consider how a solution connects to existing tools, can be monitored and can evolve as needs change.

WORK WITH US

Let’s assess your data and objectives together.

Share your analysis or forecasting needs. We can discuss the available data, technical scope and expected output together.

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