Overview
Lloyd’s has selected 10 companies for Cohort 17 of the Lloyd’s Lab Accelerator following a competitive Pitch Day involving innovators, underwriters, brokers and market specialists.
Fifteen companies presented their businesses during the selection process. The 10 chosen firms will enter a ten-week programme and work directly with Lloyd’s market participants to develop, test and refine their products and services.
Pitch Day opened with remarks from Sir Charles Roxburgh, Chair of Lloyd’s, and Rosie Denée, Director of Innovation and Commercial Education at Lloyd’s. More than 30 market participants took part in reviewing applications and shortlisting candidates.
Three areas of focus for the Lloyd’s market
- The first covers operational efficiency, with participating companies working on technology intended to reduce frictional costs, improve capital allocation and support faster, disciplined decisions as market conditions soften.
- The second area covers new insurance products for emerging and changing risks. Lloyd’s identified AI infrastructure, data centres, supply chain resilience and autonomous technologies among the areas where new insurance solutions are being developed.
- A third category focuses on experimental innovation, including newer technologies and risk-transfer concepts that could eventually find applications within insurance.
The selected companies will now work with brokers, insurers and other Lloyd’s market participants during the Accelerator. The programme gives them access to insurance expertise while they test assumptions, refine their propositions and assess possible commercial routes.
Pitch Day is one of the most important moments in the Lloyd’s Lab calendar because it brings the market directly into the selection process.
Rosie Denée, Director of Innovation and Commercial Education at Lloyd’s
She said every company reaching Pitch Day had already shown strong potential, while feedback from market participants determined which businesses progressed into the Accelerator.
“The companies selected for Cohort 17 now have the opportunity to work directly with brokers, insurers and market experts to test their assumptions, strengthen their propositions and demonstrate where they can create real value for the market,” Denée said.
The Lloyd’s Lab Accelerator is one part of this ecosystem. It is a 10-week product development programme that enables selected companies to work directly with the Lloyd’s market to test, shape, and scale solutions.
Ranked by the Financial Times as one of Europe’s leading startup hubs, we provide participants unparalleled access to underwriters, brokers, and market experts to:
- Validate ideas against real underwriting and operational challenges.
- Refine propositions within a live market context.
- Build a clear path to adoption within the Lloyd’s ecosystem.
Backed by a proven track record, our alumni have collectively raised over $1.4 bn in investment, generated $426 mn in Gross Written Premium, and 95% remain actively trading within the Lloyd’s market.
We are seeking bold, forward-thinking products that challenge industry norms and help the Lloyd’s market better serve its customers through smarter, faster, and more resilient solutions.
Operational efficiency in the Lloyd’s market
- Cassi – Enhances high-value decision-making by pairing human judgment with frontier AI forecasting to reduce bias and improve predictions.
- Mastery AI – Provides live portfolio control for specialty insurance by ingesting binder documents and bordereaux to track risk exposure in real time.
New products for the Lloyd’s market
- Augura Space – Translates space-weather data into operational risk insights to help assess, underwrite, and attribute claims for satellite and infrastructure disruptions.
- Climion AI – Evaluates over 70 satellite and hazard data sources to provide real-time location intelligence and climate risk scores for real estate and data centres.
- Canongate AI – Analyses unstructured documents to deliver peril-native geopolitical and political risk intelligence directly into underwriting workflows.
- Ötzi – Uses AI climate simulations to deliver high-resolution, forward-looking tropical cyclone forecasts (0–36 months) for risk selection and portfolio optimisation.
- Willog – Leverages AloT shipment-monitoring devices and logistics data to power loss prevention, pricing, and parametric insurance products.
Experimental innovation
- Convective Technology Company – Develops a physical intervention engine that initiates atmospheric heat convection to mitigate extreme weather risks like wildfires.
- Glacis Technologies – Offers an independent monitoring layer between applications and AI models to record tamper-evident audit logs and make AI risk insurable.
- Optimising Technologies – Builds the underwriting infrastructure, compliance gateway, and MGA framework to safely insure autonomous mobile robots and humanoids.
