Unbiased Ventures is an AI-powered venture capital fund that replaces intuition-driven deal selection with deterministic evaluation, science-based founder profiling, and structured entrepreneurial expertise. We invest at the earliest stages where founder quality matters most — and where conventional due diligence fails most often.
The venture industry's track record on founder selection is structurally poor. The evidence is clear: the people behind the company matter more than the pitch — and the tools used to evaluate them have not kept pace.
65% of startups fail because of friction in the founder team. This dwarfs the failure caused by lack of product-market fit.
Emotional intelligence is twice as predictive of entrepreneurial success compared to cognitive ability. Yet no standard VC due diligence process measures it.
Our profiling methodology is grounded in published research from teams at PNAS, Nature Scientific Reports, and multiple university research programs — not pattern matching or gut feel.
Every investment decision passes through three independent evaluation layers. No single layer can override the others. Consensus across all three is required to invest.
Unsupervised topic modeling identifies emerging industries and niches. Mixture-of-Expert networks, trained on historical venture data from Crunchbase, PitchBook, USPTO, and academic sources, score startup promise and optimal entry timing. The system identifies where to look before anyone starts looking.
Proprietary indirect profiling extracts psychological trait signals from public digital footprints. Direct assessments built on cross-battery instruments validated against 400+ major startup failures measure success traits, risk traits, and team dynamics. Not static profiling — precision profiling: the right founder team, for the right industry, at the right stage.
Managing partners with startup experience, scaling expertise, and two granted tech patents apply structured due diligence informed by — but independent of — the AI and psychology layers. The human judgment layer has red-flag authority.
Each stage narrows the funnel through independent verification. The pipeline is deterministic: the same inputs produce the same outputs regardless of who runs them.
Emerging niches surfaced via unsupervised topic modeling on live market data.
Systematic multi-dimensional evaluation framework applied to every incoming opportunity before entering the psychology layers.
MoE network ranks candidates across 7 dimensions against a benchmark database of 6,000+ evaluated decks of unicorns, finalists and winners of startup competitions.
Digital footprint analysis maps founder personality traits against predictive benchmarks.
Two-phase psychometric instrument: success traits, then risk/failure traits. Team dynamics scored.
Managing Partners, GP and LP (opt-in) apply expertise-based judgment with red-flag authority over all prior layers.
Pablo Barriga brings 15 years of organizational psychology expertise into venture capital. Portfolio founders receive structured development — not advice, but evidence-based intervention calibrated to their specific psychological profile and their company's stage.
Psychological strengths and fit-to-scale assessment. Leaders-industry/market fit analysis — because selling to a hospital is not the same as selling to a techie. Communication patterns, decision-making style, and cognitive flexibility mapped.
Early detection of wrongful intent, deception patterns, and management friction signals. Cross-battery instruments based on analysis of 400+ major startup failures including Theranos, WeWork, FTX, and Babylon Health.
Leadership team balance optimization and investor-founders alignment. Systemic team profiling for friction and miscommunication potential. Ongoing coaching to translate psychological insights into execution performance.
HSG-MBA and MSc. Psychology. 15 years at Novartis HQ (Switzerland and Barcelona). Thousands of clients profiled and developed. Bridges psychology and business performance, turning intuition into measurable science. Five languages.
Mechatronic Engineer. Technology thought leader from NASA, Airbus, and John Deere into VC datalakes, ML, and deterministic/agentic AI. ISO Certified Quality Engineer. GDPR officer and CISO. Four languages.
Serial entrepreneur with MBA from LMU Munich. Built and scaled businesses including the car flags of the 2006 World Cup and led the turnaround of a CHF 38M ARR operation. Two granted tech patents. JHU certified Agentic AI engineer. Five languages.
Deal flow through direct management team relationships with leading accelerators and institutions.
Established relationships for downstream funding rounds.
Select the materials you are interested in. Detailed fund documentation — including economics, the founder profiling methodology, and the team development program — is available to qualified prospective investors upon request. No account or login required.
A member of the Unbiased Ventures team will be in touch within two business days with the requested materials. For urgent inquiries, please contact peterweisz@unbiasedvc.ch directly.
Important Notice: This page is provided for informational purposes only and does not constitute an offer to sell, a solicitation of an offer to buy, or a recommendation of any security, investment product, or investment strategy. No investment proposals are accepted through this website. Participation in any Unbiased Ventures fund requires a direct, personal relationship with the managing partners and full awareness of the risks involved.
Investing in early-stage startups is a high-risk asset class. Investors may lose all or a substantial portion of their investment. Past performance, projected returns, and modeled outcomes are not indicative of future results. Fund materials provided upon request are confidential and intended solely for the recipient.
Unbiased Ventures is operated by Foxsmart Systems GmbH, Oberdorfstr. 10, CH-8810 Horgen, Switzerland. This communication is not directed at any person in any jurisdiction where such distribution would be contrary to local law or regulation.