UK financial product intelligence platform with ratings, reviews, and market data
Defaqto operates the UK's largest financial product database, serving institutions, intermediaries, and consumers with independent ratings and market insights. The tech stack reveals a hybrid B2B/B2C motion: CRM-centric (HubSpot, Outreach, Dynamics 365) paired with data infrastructure (PostgreSQL, BigQuery, MongoDB, Redis), suggesting both sales-driven customer acquisition and backend capabilities for research automation. Active hiring is concentrated in product and data roles while the pain-point list shows pressure on churn and pricing — typical of a maturing intelligence platform moving beyond static research toward recurring SaaS.
Notable leadership hires: Product Director
Defaqto is a public company providing financial product intelligence to UK financial institutions, brokers, and retail consumers. The core business is a proprietary database of financial products combined with independent research ratings and market analysis. Revenue comes through B2B institutional subscriptions and consumer-facing tools. The company is actively working on market data model design, research automation pipelines, and a new core data model build, while simultaneously migrating a legacy data entry platform—signals of modernization at scale. Current pain points center on customer retention, pricing optimization, and organizational structure consolidation.
Python, Django, PostgreSQL, React, Azure (DevOps, Pipelines, infrastructure), HubSpot, Dynamics 365, BigQuery, MongoDB, and Redis. Also uses SAGE Intacct and Xero for finance operations.
Market data model design, research automation pipelines, a new core data model build, migration of the legacy data entry platform, and new distribution-focused offerings. Also building evidence-based investment cases and structured discovery processes.
Defaqto's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.