Our approach to growth

We believe …

Tooling that enables organisations to map, protect and use core data and its derivative outputs on an ethical and compliant basis, will become a vital part of successful companies ability to deliver on customer trust.

We like …

Businesses which understand the data value chain and enable data to be handled ethically, especially as its moves into generative model and neural network environments. 

We see opportunity …

To address privacy debt by reworking internal systems to the newest data mapping and control processes, including the greater use of de-identification and pseudonymisation.

To enable the secure and appropriate movement of data into large-scale AI models without risking data privacy breaches and/or population of skewed input sets.

For governance platforms that understand the implications of responsible AI and build technology that protects and ensures ethical outcomes are derived.

We believe …

Finance leaders need to bring both business and strategic insight to every partnership. To be true partners, and really make a difference to performance.

We like …

Being able to integrate ERP systems with broader applications, that can connect finance teams with the businesses they support.

We see opportunity …

For applications managing large volumes of transactional inputs – supporting general ledger accounting entries and delivering data insight.

To more directly connect financial systems and insight into financing and lending platforms. In tools that provide seamless connections to open ERPs. Reducing functional blind-spots and/or local complexities.

We believe …

Establishing product fit and service need is more important than driving sales. Regardless of any possible customer benefit.

We like …

Tools that make relationships with customers better. And that help determine the elements that point to successful clients.

We see opportunity …

For target customer segmentations to be driven by product needs. As much as customer demographics and profiling.

To make sure that managing the indicators of success is within tools that go beyond CRM extensions & Excel. To learn more about building tools for companies that run on relationships and service, versus product selling.

We believe …

SMBs are looking for applications that simplify their business management, around a central transaction hub.

We like …

Software that forms the cornerstone of SMB transactions. With scope to extend out into financial systems, supply chains, population management, CRM and payments.

We see opportunity …

For tools that can leverage transaction data, to drive industry insight into SMB verticals.

For transactional applications able to connect into payment infrastructure, and capture gateway and interchange value.

To support businesses with growing service-tax and demands of fiscalisation, across high-volume/low-value activities.

We believe …

Many aspects of the legal world are untouched by technology. And are open to needless human (re)cycles.

We like …

The possibilities of leveraging natural language processing and AI, to analyse and utilise the data embedded in business relationships.

We see opportunity …

For the creation of a true marketplace for legal services.

For technology-enabled workflow and collaboration to reduce inefficiencies/reduce high fees for ‘low value’ ‘drudge work’.

For the deployment of configurable low and no code environments, that enable the building of document and process flow automations.

For law and regulation to be more accessible.

We believe …

Any brand or retailer looking to grow has to have strong digital commerce capabilities with the flexibility to support true omni-digital experience over large product portfolios, all go-to-market channels and multiple geographies.

We like …

Platforms that are connected through an open eco-system of APIs and centralize both the data and assets around marketing content, transaction data, product information and/or customer insights.

We see opportunity …

For composable marketing stacks to enable business improvements across each of product campaign velocity, channel returns and target customer segmentation.

For AI to leverage large data sets and drive real-time optimization in a cohesive and co-ordinated manner.

To connect together product information and customer data, delivering personalized experiences that deliver value through the levers of acquisition, conversion, repeat sales and retention.

We believe …

The world of work has transformed forever. Employee experience and expectations have changed in ways that require new applications to engage, collaborate, learn, and grow across the physical and digital workplace.

We like …

Extensions to HR information systems that drive heightened employee engagement and cultural consistency throughout the entire employee journey.

We see opportunity …

For finding ways of remote working, that feel more like meeting in-person. To combine synchronous and asynchronous activities into integrated processes. Especially in the building of knowledge and behaviour.

For applications able to deliver consistency. Against backdrops of regional compliance, and cultural subtleties.

We believe …

Real estate is one of the world’s largest assets classes and source of carbon emissions. A growing focus on sustainability will drive value shifts in a market needing to build intelligent pathways to Net Zero Carbon. The opportunity to leverage superior data and analytics opens ROI in capital returns, operating costs and sustainable use.

We like …

Platforms that create, uncover, unify and shape meaning out of numerous existing and potential data sources, delivering optimization into the built environment.

We see opportunity …

To bring together new data streams from IoT & BMS devices together with existing information assets around utility consumption and core building fabric to shape optimization paths and identify stranded asset risk.

To leverage AI to identify new modes of optimization as ever larger pools of data are collected and assimilated.

To connect the interests of the real estate investment manager, facilities manager, IT departments and human resources professionals to create better living and working environments for all.

We believe …

Digitisation of financial services means the complexity of regulation is only increasing and the risk perimeter expanding.  Adoption and application of regulations is critical for incumbents and the next generation of service providers.  Manual processes are being overtaken by intelligent technology accessing superior data and able to run differentiated analytics to deliver bespoke evaluation of risk.

We like …

Platforms which intelligently ingest regulation and data to define a balanced risk approach, alongside having the ability to leverage AI in the processing of high-volume data flows to deliver risk reduction whilst removing legacy processes and enhancing customer satisfaction.

We see opportunity …

For more sophisticated and detailed analytics and reporting enabling businesses to make better informed risk-based decisions.

To address financial crime and its impact across the expanded threat perimeter through use of technology and AI able to identify real time risks, whilst reducing customer friction.

Regulatory rules shifting to regulatory benchmarks based on data and validated tools, with compliance risk moving into same paradigm as credit and market risk.

We believe …

The environment in which farmers are needing to produce more food to satisfy a growing global population is being made more erratic through climate change and rising input costs. Software and technology are being adopted to make food production more predictive and less reactive.

We like …

Software tools which harvest the ever-increasing data-sets available to farmers enabling them to have better, data-driven decision making … increasing yield, decreasing input costs, and minimising production-associated risk.

We see opportunity …

To bring together data from IoT-enabled sensors and machinery alongside existing farm-management and historical sets to optimise food production.

To mitigate environmental and production risks through technology, allowing farmers to deliver with an increased level of predictability.

To harness data to bring about a greater level of connectivity across, and transparency through, the wider agri-food supply-chain.