Founder Directory
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Founders3
Known for these resultsRole0%Role is parsed from founder titles in yc.db. Known for 0% of these rows — the rest have no title at all, mostly 2019–2023. Those rows stay in the result and are counted as Unknown, never as No.Bio100%Bio coverage: 100% of these founders have a bio on their YC profile. Every bio-derived facet (ex-company, school, credentials, discipline) is Unknown for the rest.Ex-company67%Ex-company is matched from bios with employment context (ex-, formerly, worked at). 67% of these rows have at least one match.School100%School is matched from bios, case-sensitive for acronyms. 100% of these rows have at least one match.
- Leonard PlatzerFounder · Deasy LabsS23B2B · New York
- Mikko PeiponenFounder · Deasy LabsS23B2B · New York
- Reece Griffiths@ReeceWGriffithsFounder · Deasy LabsS23B2B · New York
FOUNDERROLEBATCHINDUSTRYLOCATIONTEAMX_url
Leonard PlatzerDeasy LabsFounderSummer 2023B2BNew York, United States8—Mikko PeiponenDeasy LabsFounderSummer 2023B2BNew York, United States8—Reece GriffithsDeasy LabsFounderSummer 2023B2BNew York, United States8https://x.com/ReeceWGriffiths
Showing 1–3 of 3 founders
Mikko Peiponen
Founder·Deasy Labs
PRIMARY INFO
RoleFounder· not in title
Team size8
BatchSummer 2023
LocationNew York, United States
Company statusAcquired
StageEarly
BIO
Mikko is the co-founder of Deasie. He is a technologist with deep experience (5+ years) in data and machine learning space from McKinsey and QuantumBlack, where he implemented and deployed models at large enterprises. Prior to moving into the world of data governance for language models with Deasie, he was the Lead data scientist building AI data quality tool at QuantumBlack. Mikko holds a graduate degree from MIT.
Ex-company, school and discipline below are derived from this bio. Nothing is inferred when the bio is missing.
BACKGROUND
Credentialsnone mentioned
DisciplineResearcherKeyword match from the bio text, not a classifier.
TRACK RECORD
First YC company on record
COMPANY CONTEXT
Deasy LabsMetadata for GenAI workflows
