Aday operates a media intelligence platform (Tagaday) built on Elasticsearch + Kibana for real-time indexing and search across press, web, and broadcast content. The stack reveals a data-heavy operation — heavy reliance on Elastic's search infrastructure, Python scripting, and container orchestration (Docker/Kubernetes) — while pain points around indexing performance and workflow automation signal scaling challenges. Current hiring is sales-driven (4 of 7 roles) alongside infrastructure work, suggesting push for both revenue growth and platform stability.
Aday, founded in 1985 and based in Paris, publishes Tagaday, a media monitoring and analysis platform designed for communications professionals and corporate decision-makers. The platform aggregates content from written press, national and international web sources, and audiovisual media, providing real-time competitive tracking and measurement of communication campaign results. Aday operates through licensing partnerships with media publishers and serves mid-market enterprises across public and private sectors in France. The 51–200 person organization operates as a self-owned company.
Aday's platform runs on Elasticsearch and Kibana for indexing and analytics, PostgreSQL for relational data, Python for backend logic, and Docker/Kubernetes for infrastructure orchestration. It also uses HubSpot for CRM and Google Workspace for collaboration.
Key pain points include performance and availability of the indexing platform, migration and integration of secure tech solutions, cybersecurity resilience, and optimization of automated workflows. Market visibility and lead generation also rank among current priorities.
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