Yuki is built on innovation, integrity, and transparency. We disrupt traditional vendor due diligence by combining cutting-edge AI with expert insight, delivering standardized, fast, and objective evaluations. Our methodology ensures clarity, neutrality, and comparability—empowering M&A and fundraising decisions with confidence.
Our Services
YUKI offers quality vendor due diligence at light speed.
We help companies maximize the value of technology and product investments by delivering clear, actionable insights and precise, fast, and verifiable evaluations across key transversal factors: scale, product, platform, team, and project management thanks to our proven-academically-backed data driven model and our unique methodology
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VENDOR DUE DILIGENCE
Tech and product analysis powered by data for strategic insights.
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STRATEGIC ADVISORY
Strategic technology, product & growth advisory
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SELF ASSESSMENT
Assess your technology, product, and scalability readiness
In the numbers
50+
Tech & product DD delivered
1B+
Lines of code analyzed
75
Tech and product years of experience
100M€
Transactions value
Our data-driven methodology
Context analysis &
data collection
Understanding the technology’s role in your business and your objectives. Reviewing documentation, system architecture, and historical data. Initial interviews with key stakeholders to align expectations and identify focus areas
Building data-driven Insights
Extracting insights from codebases, infrastructure, development workflows, and operational metrics. Targeted interviews with engineering and product leaders to clarify architecture, development methodologies, maturity, and operational challenges.
Evaluation & benchmarking
Assessing scalability, security, performance, and process maturity using our unique methodology and models. Follow-up interviews with senior tech staff to validate key assumptions and address discrepancies .
Reporting & strategic recommendations
Understanding the technology’s role in your business and your objectives. Reviewing documentation, system architecture, and historical data. Initial interviews with key stakeholders to align expectations and identify focus areas
Customer
Stories
Customer Stories
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