Technology

Our Impact

31%

Average acceleration in go-to-market performance

Growth strategy engagements delivered

Technology businesses often scale faster than their economics mature. Adoption and revenue growth can mask uncertainty around pricing power, cost discipline, and long-term differentiation.

Decisions around focus, monetisation, and continued investment shape whether scale translates into durable value. Comple...

How we help

Market Intelligence

Market sizing and product-market analysis to assess demand and competitive dynamics.

Growth Strategy

Scaling products and platforms with clear paths to sustainable economics.

Pricing Strategy

Aligning pricing with value delivered and competitive response.

Commercial Due Diligence

Testing product-market fit and revenue durability.

Our Approach

Our approach in technology starts with how markets fragment as they mature. Growth rarely disappears, but it becomes more selective, concentrating in specific segments, use cases, or geographies while others stall.

Engagements focus on identifying where that selective growth sits. Market structure, customer adoption patterns, competi...

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Insights & Articles

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2024 AI In The Workforce Survey: Insights on Generative Artificial Intelligence and Perceptions and Expectations Among Professionals

UK workers have a complex relationship with generative AI and it's only getting more complex.

Data Processing Secrets Every Business Needs to Know

Data processing techniques can be used in a wide range of situations, including real-time and batch processing. However, there is a false divide between batch and streaming processing, making it harder for organisations to improve the quality and availability of information. Streaming technology can improve the cost, quality, and availability of data by combining batch and streaming processing, allowing businesses to make better decisions and predict costs in real time. Organisations should use a unified data architecture and combining batch and streaming processing to improve data quality, cost, and access to information. They should also have skilled workers and security measures in place. Evaluate data infrastructure, define data processing needs, implement unified data architecture, invest in employee training, and ensure data security and compliance to maximise benefits of data processing.

Five essential data best practices for data-informed businesses

Businesses must adopt five essential data best practices to ensure data quality, compliance, and security to drive performance and growth. Adopting five essential data best practices can help businesses effectively manage and capitalise on their data assets, driving performance, growth, and customer satisfaction.