We believe AI will have a vast impact on the world.
Companies need a new kind of partner
The next decade will require successful companies to use data differently, nurture a different talent profile, and build new technical capabilities.
Our investment strategy is to act a partner in supporting and sponsoring leadership to navigate this AI transition. Alongside capital we inject IP, deploying pragmatic and responsible AI systems that target key performance levers.
This technology is always subservient to the business. We anchor heavily on leaving behind sustainable capabilities by transferring technology, re-skilling employees, and re-designing ways of working to allow firms to thrive.
WovenLight has been built from the ground up to respond to the challenges of generating value in this new world. Our core purpose is to build resilient companies that learn faster than their rivals to relentlessly become better at what they do, how they do it, and how they fit into our new world.
Our investment focus
Partner GPs
Mega-Cap, Large-Cap, Mid-Cap and Lower Mid-Market.
Geographies
Europe and North America.
Sectors
Services, Industrials, Healthcare, Technology, Sports.
Themes
Commercial precision through segmentation, retention, cross-sell and next-action-best.
Product enhancement by using latent data to create new products and services.
Streamlining workflow by augmenting human knowledge and automating manual processes.
Supply chain optimisation through sharper demand forecasting, inventory management and network optimisation.
Production efficiency by reducing waste, improving yield, quality and cycle-time.
Criteria
We only invest where we make a difference through our value creation capabilities.
Underpinned by compounding technology
Our investment approach is anchored upon three engines that power our investment lifecycle; designed to systematically consolidate and codify know-how, benchmarks and code back into our processes.
Engine No1 - Playbook
A collection of configurable templates to accelerate our value creation projects, make it easier to transfer capabilities and which compound over time.
Engine No2 - Intelligence
A database of benchmarks, evidence and perspectives on what works where, that helps us better scope, frame and validate where the value opportunities are – and what we need to validate for any investment decision.
Engine No3 - Diagnostics
Enabling us to develop robust Value Creation Plans (VCPs) that inform the investment thesis within a buy-side process where we operate outside-in alongside the potential GP to validate the art-of-the-possible.
Although these engines and associated investment model have predominantly been developed within private markets they have successfully been deployed with publicly listed firms.