Hiretop · Apr 2023
Third-party profile covering the startup, founders, and the motivation behind its ML deployment infrastructure product.
Deploy Machine Learning Models with One Command
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
PoplarML is a San Francisco-based AI/MLOps startup founded in 2022 that helps teams deploy machine learning models to production as scalable API endpoints with a single CLI command.
Primary product
One-command ML model deployment to scalable GPU-backed API endpoints
Founded
2022
Headquarters
95 Third Street, 2nd Floor, San Francisco, CA 94103, United States
Team size
1-10
Industry
Artificial Intelligence
Sub-industry
MLOps / machine learning deployment infrastructure
Offices
San Francisco, California, United States
Business model
B2B SaaS
developer API platform
CLI-based developer tooling
Funding
Stage
Seed
Total raised
$500K
Latest round
Seed · Apr 2023
Latest amount
$500K
Apr 2023 · Y Combinator
People & investors
Investors
Work & culture
Product & market
Differentiators
- —One-command deployment
- —Framework agnostic
- —Scalable GPU-backed endpoints
- —Auto-scaling out of the box
- —Minimal engineering effort
Technology
TensorFlow
PyTorch
JAX
GPU fleets
REST APIs
CLI tooling
auto-scaling
Competitors
DataRobot
Baseten
Anyscale
BentoML
Arize AI
Fiddler AI
H2O.ai
Seldon
Scale & contact
Estimated revenue
under $1M
Latest news
Crunchbase News · Apr 2023
Crunchbase’s YC batch coverage cited PoplarML as part of the Winter 2023 cohort amid the shift toward AI, devtools, and B2B startups.
LinkedIn · Feb 2023
Evan Chu shared PoplarML’s launch and product positioning for production ML deployment.
Y Combinator · Feb 2023
Official launch announcement describing PoplarML’s one-command GPU deployment workflow, CLI, auto-scaling endpoints, and founding team.
LinkedIn · Feb 2023
Danna Liu announced PoplarML’s Y Combinator W23 launch and reiterated the product’s one-command deployment value proposition.
Jobs and careers at PoplarML
0 jobs at PoplarML
No open positions
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