Anthemis Group

Anthemis Group is an independent investment firm founded in 2010 and headquartered in London. It operates as a multi-stage asset management platform focused on financial services and technology, particularly fintech and insurtech. The firm targets opportunities from pre-seed through growth stages and invests in, grows, and sustains companies across North America and Europe to advance resiliency, transparency, access, and equity in the financial system. By supporting a diverse ecosystem of startups, investors, entrepreneurs, institutions, and researchers, Anthemis aims to accelerate innovation in finance.

Jeremy Brown

Investment Principal

Marin Cauvas

Principal

Hana Charnley

Investment Analyst

Archie Cochrane

Principal

Elizabeth Davis

Principal

Past deals in Gibraltar

Quantemplate

Series B in 2019
Quantemplate is a cloud-based analytics platform for the insurance industry that enables users to ingest raw data, cleanse and harmonize it, and perform analysis using machine-learning powered tools. The platform supports data integration, cleansing, mapping and preparation, and includes capabilities for catastrophe modeling, pricing, bordereaux management, and performance analysis, helping insurers and reinsurers automate operations and derive actionable insights. By importing internal data sets and applying AI-driven models, it supports underwriting, reporting, and digital transformation across wholesale and reinsurance activities. Headquartered in London with offices in New York and Gibraltar, Quantemplate serves clients seeking more efficient data workflows and data-driven decision making.

Quantemplate

Series A in 2017
Quantemplate is a cloud-based analytics platform for the insurance industry that enables users to ingest raw data, cleanse and harmonize it, and perform analysis using machine-learning powered tools. The platform supports data integration, cleansing, mapping and preparation, and includes capabilities for catastrophe modeling, pricing, bordereaux management, and performance analysis, helping insurers and reinsurers automate operations and derive actionable insights. By importing internal data sets and applying AI-driven models, it supports underwriting, reporting, and digital transformation across wholesale and reinsurance activities. Headquartered in London with offices in New York and Gibraltar, Quantemplate serves clients seeking more efficient data workflows and data-driven decision making.

Quantemplate

Series A in 2015
Quantemplate is a cloud-based analytics platform for the insurance industry that enables users to ingest raw data, cleanse and harmonize it, and perform analysis using machine-learning powered tools. The platform supports data integration, cleansing, mapping and preparation, and includes capabilities for catastrophe modeling, pricing, bordereaux management, and performance analysis, helping insurers and reinsurers automate operations and derive actionable insights. By importing internal data sets and applying AI-driven models, it supports underwriting, reporting, and digital transformation across wholesale and reinsurance activities. Headquartered in London with offices in New York and Gibraltar, Quantemplate serves clients seeking more efficient data workflows and data-driven decision making.

Quantemplate

Seed Round in 2014
Quantemplate is a cloud-based analytics platform for the insurance industry that enables users to ingest raw data, cleanse and harmonize it, and perform analysis using machine-learning powered tools. The platform supports data integration, cleansing, mapping and preparation, and includes capabilities for catastrophe modeling, pricing, bordereaux management, and performance analysis, helping insurers and reinsurers automate operations and derive actionable insights. By importing internal data sets and applying AI-driven models, it supports underwriting, reporting, and digital transformation across wholesale and reinsurance activities. Headquartered in London with offices in New York and Gibraltar, Quantemplate serves clients seeking more efficient data workflows and data-driven decision making.
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