Startup profile · funding coverage
Anyscale funding, valuation and investors
Commercial platform for Ray distributed computing — scale AI/ML workloads on any cloud.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series C
$100M · 2022
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$121M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · San Francisco, California
Investors in latest funding
Other: Andreessen Horowitz
Overview
Anyscale offers a managed platform built on Ray for distributed Python workloads — training, tuning, serving, and batch processing AI models at scale. Ray is one of the most widely adopted open-source projects for distributed machine learning, and Anyscale provides enterprise tooling, support, and cloud orchestration on top.
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.
Product & use cases
Anyscale offers a managed platform built on Ray for distributed Python workloads — training, tuning, serving, and batch processing AI models at scale.
- Enterprise platform deployment for core workflows
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
Funding history (newest first)
Series C
2022 $100MSource: Series C (2022): $100M co-led by a16z and Addition at $1B valuation (Anyscale press)
Series A
2019 $20.6MSource: Series A (2019): $20.6M led by a16z with NEA, Intel Capital (Anyscale press)
Investors in our directory
Funds linked from Anyscale's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Ion Stoica and Berkeley RISELab team commercializing Ray, the open-source framework behind much of production distributed AI training and inference.
Anyscale competes in enterprise-saas, ai-ml. Incumbents have distribution; startup edge depends on product depth and buyer references. See competitors for specific tradeoffs — no invented market share claims.
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Salesforce incumbent
Enterprise platform incumbent.
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Microsoft incumbent
Platform bundling competitor.
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OpenAI adjacent
Foundation model platform.
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Scale AI adjacent
AI data/eval infrastructure.
Notable stories
- 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)
Industries
FAQs about Anyscale
Practical answers founders, operators, and investors typically search for.
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