Expert network platform connecting corporations with industry specialists
Focal Fact operates a two-sided expert network: matching corporate decision-makers with vetted professionals across aerospace, defense, healthcare, technology, and consumer goods. The tech stack is .NET/C# on Azure with Blazor WebAssembly frontend—a monolithic enterprise architecture typical of B2B platforms handling regulated consultations. Hiring is sales-led (5 of 8 open roles) with junior-heavy composition, suggesting network scaling over product complexity; pain points center on expert sourcing velocity and membership database infrastructure, indicating growth is constrained by supply-side onboarding friction rather than demand.
Focal Fact is a Dublin-based expert network founded in 2019. The platform enables on-demand consultations between corporate clients and industry experts via remote and live sessions, operating across major verticals including aerospace, defense, consumer goods, healthcare, and technology. Revenue flows from both client-side (consultation bookings) and expert-side (monetization of domain knowledge through membership fees). The business model requires dual-sided network effects: managing expert vetting, payment processing, compliance (data protection, audit), and project timeline delivery. The company employs 51–200 people and is actively hiring, primarily in sales and support roles based in India.
Focal Fact's stack centers on .NET, C#, and Azure cloud infrastructure (App Service, Functions, Storage). Frontend is built with Blazor WebAssembly and Bootstrap. Testing uses xUnit and NUnit; version control and CI/CD run on Azure DevOps.
Current projects include expert network expansion, expert and client onboarding workflows, and a membership database. Pain points around timely expert sourcing and database infrastructure suggest active focus on supply-side scaling.
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Focal Fact'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.