Startup profile · funding coverage
Anyscale
Commercial platform for Ray distributed computing — scale AI/ML workloads on any cloud.
Stage
growth
Status
private
Coverage
full
Why Anyscale is interesting
Ion Stoica and Berkeley RISELab team commercializing Ray, the open-source framework behind much of production distributed AI training and inference.
Key facts
- Series C (2022): $100M co-led by a16z and Addition at $1B valuation (Anyscale press)
- Series A (2019): $20.6M led by a16z with NEA, Intel Capital (Anyscale press)
- Product: managed Ray platform for distributed training, hyperparameter tuning, and model serving
- Co-investors not in VCT directory: NEA, Intel Capital
Investors in our directory
Funds linked from Anyscale's profile — open a fund page for stage focus and related deal articles.
Industries
Enterprise SaaS AI & Machine Learning
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FAQs about Anyscale
Funding context and why this company shows up in venture coverage.
Anyscale provides a managed platform for Ray, the open-source distributed computing framework — helping teams scale Python AI/ML workloads across clusters on AWS, GCP, and Azure.
Directory-linked investors include Andreessen Horowitz (/fund/andreessen-horowitz) and Addition (/fund/addition), who co-led the $100M Series C.
Anyscale raised a $100M Series C in 2022 at a reported $1B valuation and remains a late-stage private company.
Ray powers distributed training and serving at many AI labs and enterprises. Anyscale commercializes the stack with enterprise support — a classic open-core play in the AI infrastructure layer.
No — Anyscale remains a private company as of July 2026.
Last updated: 2026-07-24