Snorkel AI
Programmatic data labelling and weak supervision platform — built on Snorkel research from Stanford. Enterprise platform for high-volume data programming.
At a glance
- Type
- Programmatic data labelling
- Tier
- T1
- Section
- Training infrastructure
- Created
- 2019
- Latest release
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- License
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- GitHub
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- Pricing
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- Funding
- $135M total raised through Series C 2021-08 ($85M, Addition led; $1B valuation).
Taxonomy
- storage
- n/a
- retrieval
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- persistence
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- update
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- unit
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- governance
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- conflict
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When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
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Cons
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Claims & capabilities
$135M Series C (2021) at $1B; growing into LLM/RLHF data.
Technical surface
- API surface
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- Backend storage
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- Deployment
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- Embedding model
- not applicable — not a memory product
- Multi-tenancy
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- MCP
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- A2A
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- OpenTelemetry
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Similar systems
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- GRPO T3
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- Accelerate (Hugging Face) T1
Hugging Face's abstraction over distributed-training backends (DDP, FSDP, DeepSpeed, Megatron). Minimal code change to scale a PyTorch script.
- Argilla T2
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