👋 Welcome to Learning VC! I’m Luis Llorens and I write monthly about venture capital, fundraising and my personal experiences as an investor.

In this post you will find a list of entrepreneurs and startups in the midst of their fundraising endeavours.

In January, we achieved the following figures:

✅  57 startup applications.
✅  Stages: 72% Pre-seed | 25% Seed | 4% Series A & B
✅  Geographies: 26% US | 21% UK | 9% Spain | 44% Rest of the world.
🤯 1,222 submissions in 2025.

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If you're a business angel or VC and would like to see the list of startups, leave a comment below or scroll to the end of this post.

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I will provide an analysis of 2 early-stage startups building global solutions in the US and Spain.

📍 HQ: Madrid, Spain
🏭 Industry: Generative Engine Optimization (GEO) / Martech SaaS
☘ Stage: Seed
🚨 Problem: AI search is reshaping digital discovery, yet 85%+ of businesses are almost invisible in AI-generated answers and lack tools to manage it. Many sites are already losing 20–50% of organic traffic, reducing leads and conversions, but brands have no unified metrics or influence layer for this new channel.
🔛 Solution: AI-native SaaS platform that helps brands measure, benchmark, and improve their visibility in AI-generated answers across ChatGPT, Gemini, Perplexity and other emerging assistants.
📱Product:

🫰 Business model: Tiered SaaS model with free trial
🎯 Ideal Customer Profile: Marketing Agencies and enterprise brands with large digital presence seeking GEO (Generative Engine Optimization)
📊 Traction: +10 Clients signed including an Ibex35 company. €+4M ARR Pipeline.
🏚 Market: €3B–6B SAM, initially focused on European markets.
👥 Luis Anton (CEO): 10+ years in strategy, finance and innovation, strong big-data & tech background, former Amadeus, HBG and BBVA, with multiple product and startup launches.
👥 Maher el Ouahabi (CTO): Senior Data Scientist with ~10 years building AI products across industries, top performer on Kaggle competitions, ex-IBM, Santander and Akkodis.
💰 Round: €700K Seed Round (nearly closed), accepting up to €50K from high-value, smart-money investors. Planning €+5M Series A within the next 6 months, driven by accelerating ARR and strong partner traction.

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📍 HQ: New York, US
🏭 Industry: AI Infra
☘ Stage: Pre-seed
🚨 Problem: Agents fail frequently in production, they select wrong tools, follow inconsistent reasoning, and hallucinate, but failures are fragmented across logs, prompts, and tool calls, making root-cause analysis slow and manual.
🔛 Solution: Infrastructure that enables your agentic system to learn from production. We observe agent behaviour, score performance, convert failures into lessons, and automatically deploy improvements back into your agent, enabling self-healing agents.
📱Product:

🫰 Business model: Platform fee + per task fee of $0.001
🎯 Ideal Customer Profile: Companies building or deploying AI agents in production, either as their core product or for critical internal operations.
📊 Traction: Pilots with Palo Alto Networks and Auth0.
🏚 Market: Deploying AI agents is easy; improving them in production is hard. Evals are static and fail to capture real-world edge cases, observability tools tell you what broke but can't prevent it happening again, manual prompt and context engineering doesn't scale.
👥 Gaby Haffner (CEO): Led platform commercialisation at Farfetch, ex-IB and Strategy Consultant at EY, Cambridge econ grad.
👥 Aman Jaglan (CTO): ML/RL engineer, ex-Protivi, led AI implementations for F500, published continual learning research.
💰 Round: $2m

👉 Limited (but complete) access to January’s list here. Full access for subscribers at the bottom of the post, including February’s list in real time and decks.

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• 500+ Active Angel Investors in Europe, 60+ Successful Fundraising Decks and VC Templates.

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👉 Full list for January: Here

👉 Real-time list for February: Here

That’s all folks — thank you for taking a look! If you liked this post, don’t forget to follow me on LinkedIn & Subscribe below🔔