€200k · Other round · Software · Valencia, Spain
Feending has closed a €200k capital increase to develop AI agents for professional community management. The Valencia-based company says the financing combines backing from existing shareholders and new investors in Valencia and Madrid with a grant from the Valencia City Council’s Seed programme.
The named backers are Carlos Parames, Jaime Reneses, the Pastor family, Jano García, Ramón Esteve and Álvaro Bordils. Feending says the money will finance the first phase of a twelve-month roadmap rather than a finished agent product: the planned capabilities include generating content, matching members with common interests, automating communications and producing reports for community managers.
From a system of record to delegated work
Feending’s current proposition is an all-in-one platform for universities, alumni networks, associations, foundations and innovation hubs. Its product site brings member data, events, communications, groups, opportunities and networking into one place, addressing the operational fragmentation that appears when communities are run across spreadsheets, messaging groups and generic tools.
The commercial move behind the round is more specific than adding a chatbot to that stack. Feending says its V2 architecture, launched in July, is modular enough to adapt to each organisation’s processes. It cites Valencia Best Places as an early deployment covering personalised communications, events, promotions and ticketing, and says existing customers including UCAM, UNIR, CEU, Universitat de València, Valencia Innovation Capital and La Nave Madrid will migrate progressively.
If that architecture can give agents reliable access to each customer’s data and workflows, automation can shift Feending from software that records community activity to software that executes recurring work. That matters commercially because community teams often need configuration around their member model, events and communications; a modular platform can preserve that specificity while spreading development across reusable components.
The execution dependency is sequencing. Feending describes the agents as a planned next phase, not a capability already in production, and says it will validate high-impact features before expanding the roadmap. The round therefore funds a transition that still has to prove it can automate work without eroding the control and personalisation on which professional communities depend.
