Built on data science, machine learning and applied AI research
Designing a deep intelligence engine that learns from every decision, every outcome and every signal — not just from static datasets. The AI engine that turns data into destiny.
An always-on intelligence scanning founders, markets, capital flows, behavior, networks and geopolitical shocks in parallel. Connecting invisible dots across time and geographies so that what looks like noise to everyone else becomes a readable pattern inside Xylence.
Starting with venture capital, designed to become the invisible infrastructure for how funds, banks, LPs and governments understand risk and opportunity. Where noise becomes signal and the future becomes legible.
A place where the world's data is not just stored or visualized, but interpreted — so the future stops being random luck and becomes something you can listen to. Transforming fragmented, messy information into clear, explainable recommendations.
Most "AI" is just "A"rtificial — we focus on the "I"ntelligence: data, science and models that actually learn.
Real intelligence is built, not prompted. It's forged through long-term learning, feedback and outcomes — not just an LLM wrapped in a UI.
Xylence is not an LLM wrapped in a screen. It is a multi-layer predictive intelligence engine that turns origin and evolutive signals into explainable decisions.
Origin-level intelligence
Ingestion and structuring of startup data at the founding moment — applications, decks, documents. Capturing the signals that matter from day zero.
Founder-facing interface
Returns insights and captures qualitative and behavioral signals. The bridge between founders and the intelligence engine.
VC cockpit
Ranked dealflow with explanations and portfolio-level views. The command center for informed capital allocation decisions.
Human-in-the-loop by design: the engine learns from GPs' decisions, IC discussions and founder interactions — turning subjective judgment into measurable, repeatable intelligence.
Led by conviction. Built by code.
Founder & CEO
One successful exit. Harvard speaker. TED speaker. YC invitee. G20 participant. +25 years in banking.
CTO
Head AI/ML & Software Development Engineer. Former Amazon, AWS. Expert in scalable AI systems.
Chief Data Officer
Director of Business Intelligence. Expert in Data Science and BI. National Council of Science and Technology.
Head of Data Science
Harvard Kennedy School. Data Science Analytics at Goldman Sachs.
Head of AI/ML Engineering
AI engineer and former university professor from Italy and Argentina. Building LLM-driven systems since 2019.
Strategic Modeling Analyst
Data scientist with security expertise. Master's degree with honors in pattern detection and ML solutions.
Join the future of venture intelligence.