Our Services

If you have an existing data and analytics team and are looking to skill up in graph, or are just starting on your journey, we can help.

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We offer a range of workshops and training courses tailored to your needs, including:

• Graph schema design

• Graph query writing:

  • GSQL

  • openCypher

  • Basic and Advanced courses

• Graph database administration and support

• Advanced Graph Theory and Algorithms

As part of a full enterprise implementation we will:

• Work with your stakeholders to create a detailed strategy and ROI

• Analyse your existing architecture

• Assist with planning and budgeting

• Gather and document requirements

• Create a rapid demonstration prototype

• Implement with full integration to your existing platforms: data lake / warehouse, BI and insights, ML Ops, D&A

If you're making a product or thinking of making a product with a graph-database engine, we can assist with any stage of development from initial concept to full production implementation.

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Our team have extensive experience assisting with internal product development at enterprise scale organisations, and with independent software vendors looking to build graph-based products for the open market.

If you think you have a graph shaped problem or a graph shaped solution, but aren't sure where to start, the answer is usually: schema design.

By jointly assessing your data landscape and your business use-case, we can assist with concept workshops, detailed designs, and full schema lifecycle management. You'd be amazed what you can learn about your own business from building a graph schema.

If you have highly sensitive or legally restricted data, which you're unable to share for direct analysis, the answer may be random network simulation.

By creating a randomly generated graph which mirrors the properties of your restricted data you can set up a simulation of your network which you can then analyse without exposing the underlying "real" data. The simulation could take into account: number of nodes, number of relationships, average connectivity, average no. of vulnerabilities, number of cyber-attacks, or any other key property of your network.

This is particularly useful in the cyber-security space where you may not wish to share your underlying data directly with a vendor or service provider, but may still wish to validate a particular graph algorithm or detection technique.

Network analytics and Graph Theory can provide extraordinary insight into your data.

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If you have a social network, customer network, product hierarchy, supply or distribution network, power or infrastructure network, or any other network at the core of your data, we can help you find patterns, trends and insights that you may never have realised were there. Everything from "These people buy these products when they both those products", to "These are the biggest risks to your network".

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Thanks to the latest advances in graph-database technology, these techniques can now be implemented at-speed and at-scale.

If you have an existing graph engine but aren't sure you're getting the most out of it, we can provide detailed assessments of your schema, queries and overall architecture.

Sometimes a small change to a node or edge type in your schema can make a huge difference to your query performance. Unlike SQL where query performance is highly predictable based on data volumes, indexing and joins, graph query performance can vary in surprising ways!

If you're looking to build your capability in graph technology, we can help!

Graph resources can be hard to find and time-consuming to train but whether you're growing an internal team, or building one from scratch, we can assist with hiring guidelines, assessment kits, tailored training courses and in-house workshops.

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We can also advise on team make-up, background skills, and integration within your wider technology-team landscape.