DatologyAI | Automated data curation for GenAI

better data,

better models,

better business.

state-of-the-art data curation

AI models are what they eat. Optimize training efficiency, maximize performance, and reduce compute costs with our expert curation.

fully automated

Unlock the power of automated data curation that seamlessly integrates into your existing infrastructure. No human intervention required.

built to scale

Scale without limits: our product adapts dynamically with your dataset, supporting datasets of petabytes or more.

easy deployment

Effortlessly integrate our product into
your cloud/on-prem data infrastructure with minimal adjustments to your existing training code.

modality-agnostic

Your data may be text, images, video, tabular, or anything else. Our product is built from the ground up to handle any data modality.

labels not required

Unlock the full potential of your unlabeled data and transform it into valuable assets for your business.

secure by design

Securely accelerate your AI capabilities in your own environment. Our infrastructure is designed to ensure your data never leaves your VPC.

team

world class team

ari morcos

co-founder, CEO

Former FAIR@MetaAI and DeepMind, Best Papers at both NeurIPS and ICLR, leading expert in data research for deep learning, Harvard PhD

bogdan gaza

co-founder, CTO

Former CTO and co-founder of Moonsense, 10+ years infrastructure engineering and management experience at Amazon and Twitter

matthew leavitt

co-founder, CSO

Former Head of Data Research at MosaicML (acq Databricks), FAIR@MetaAI, McGill PhD

jack urbanek

Founding Member of Technical Staff

Former Research Tech Lead Manager at FAIR@MetaAI, Creator of Mephisto

amro abbas

Founding Member of Technical Staff

Former AI Resident, FAIR@Meta AI. First author of SemDeDup. MSc, The African Masters of Machine Intelligence.

fan pan

Founding Member of Technical Staff

Former cofounder of Determinant AI and Bricks (YC S22), engineering at Cruise and Unity

pratyush maini

Founding Member of Technical Staff

PhD Student at Carnegie Mellon University. Award Nomination at NeurIPS.

alvin deng

Member of Technical Staff

Former ML lead at Discord, ML research/engineering at Facet and Drawbridge (acq LinkedIn)

josh wills

Member of Technical Staff

Former software engineering and data science at Slack, Cloudera, Google

aldo carranza

Member of Technical Staff

PhD graduate from Stanford University. Former research intern at Google, LinkedIn, and Adobe.

paul burstein

Member of Technical Staff

Former Group Tech Lead of Platform, Ads, and Search Infrastructure at Twitter. Salesforce prior to that.

jacqueline liu

Lead Talent Partner

Former Lead Technical Recruiter at Glean, Recruiting at Benchling and JUUL Labs.

haoli yin

Member of Technical Staff

MS/BS from Vanderbilt University. Goldwater Scholar and Neo Finalist. Former multimodal research at Modern Intelligence

ricardo monti

Member of Technical Staff

Former staff tech lead at Meta (neural interfaces). PhD/postdoc at Gatsby Unit, UCL and Imperial College London.

kaleigh mentzer

Member of Technical Staff

PhD from Stanford University, former research engineer at Granica

cody blakeney

Member of Technical Staff

Former Data Research Lead at MosaicML (acq Databricks), Visiting Researcher Facebook, Texas State University PhD.

parth doshi

Member of Technical Staff

Former ML engineer at Cruise. MS from UCSD

luke merrick

Member of Technical Staff

Created the Arctic Embed models at Snowflake. Formerly explainable AI at Fiddler AI and ML time series forecasting at Myst AI.

backed by the best

funds

amplify

partners

conviction

radical

ventures

outset
capital

felicis

ventures

quiet
capital

m12
venture fund

elad

gil

amazon alexa

fund

angels

jeff

dean

aidan

gomez

jascha

sohl-dickstein

geoff

hinton

ivan

zhang

barry

mcCardel

yann

leCun

douwe
kiela

adam

d'angelo

naveen

rao

jonathan

frankle