Surge AI
Premium human-labelling company specialised in RLHF data and difficult expert tasks — Surge prides itself on bootstrapped, no-VC; major frontier-lab supplier.
Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 11 cited facts, 4 with a third-party source · Suggest a correction
At a glance
- Type
- Premium RLHF data service vendor fix
- Tier
- T2
- Section
- Training infrastructure
- Latest release
- searched not found fix
- License
- searched not found fix
- GitHub
- searched not found vendor fix
- Pricing
- searched not found fix
- Funding
- Bootstrapped (no disclosed external funding) — reportedly profitable from inception. third-party fix
- Freshness
- 2026-10-27 fix
- Layer
- model-infra repo fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
Reportedly ~$1B revenue in 2024 while bootstrapped; rumored Anthropic data-labelling contract is the largest single deal in the segment.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other training infrastructure in the catalog, ranked by inbound references.
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- AWS SageMaker T1
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- Weights & Biases T1
Experiment-tracking and ML-ops platform (metrics, artifacts, sweeps, Weave tracing/evals). Acquired by CoreWeave (completed 2025-05-05, ~$1.7B); now part of CoreWeave Forge.
- Comet ML T2
ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.
- Azure Machine Learning T1
Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.
- LoRA T3
Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.
Sources (10 cited facts, 4 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Premium RLHF data service vendor
- What it does & what's distinct Premium human-labelling company specialised in RLHF data and difficult expert tasks — Su… vendor
- Claims / benefits Reportedly ~$1B revenue in 2024 while bootstrapped; rumored Anthropic data-labelling con… third-party
- Created 2020 third-party
- Funding Bootstrapped (no disclosed external funding) — reportedly profitable from inception. third-party
- Customers / scale Anthropic (large rumored contract), Google, Meta, Microsoft, OpenAI per industry reports. vendor
- HQ San Francisco, CA, USA. third-party
- Founders / pedigree Edwin Chen (CEO; ex-Twitter, Google, Facebook); founded 2020. vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup model-infra repo