Agustin Ferreira Pose
Agustin Ferreira Pose is a solo angel investor focusing on real-life applications of machine learning and AI projects, primarily within the health and services industries. He invests in pre-seed and seed-stage companies.
About Agustin Ferreira Pose
Agustin Ferreira Pose is a Barcelona-based solo angel investor with a day job as a Senior Data Scientist at Aetion, a health-data and real-world-evidence company. His angel activity sits at the intersection of healthcare software, AI, and applied data science, which is a useful and unusual lens for founders pitching clinical AI and health-IT companies.
The stated focus areas are health IT, healthcare software, and AI in healthcare. The Aetion adjacency suggests genuine literacy in real-world evidence, claims data, EHR data structures, and the specific pain of building defensible models on heterogeneous clinical data. For founders building physician-facing AI, prior authorization tools, clinical research automation, or evidence-generation platforms, that operator perspective is the core of the value proposition. Portfolio companies and specific checks are not disclosed in the input record, so the angel relationship should be approached as exploratory rather than transactional in the first conversation.
Check size and geography are not specified in the source record. Stages are pre-seed and seed. As a solo angel based in Barcelona with a US-employer day job, Agustin is plausibly a small-check angel for both European and US founders, but founders should confirm geography fit and current capacity before investing significant outreach effort.
This is a single individual rather than a fund. LinkedIn is the primary channel for initial contact; warm introductions through Aetion colleagues, Spanish founder networks, or AI-in-healthcare ecosystem peers will land more reliably than cold messages.
Approach Agustin when you are an early-stage founder building AI or data-science products on clinical or claims data and you want an operator angel who can pressure-test your data and modeling approach in detail. He is not a substitute for an institutional lead, and the check should be assumed to be small. The pitch that lands is the one that puts the data architecture, evidence generation, and model-validation strategy on the table early, because that is where his comparative advantage is. Founders pitching consumer wellness, generic AI productivity tools, or non-clinical applications are unlikely to find this profile useful and should target adjacent angels instead.
Founder reviews
Team
Pitch / review this investor
Have you raised from Agustin Ferreira Pose? Founders only — share your honest experience (anonymous OK, moderated before publishing).