Surge AI

Surge AI is a data-labeling and human-feedback platform that supplies high-quality annotated datasets, RLHF workflows and expert evaluation to power large language models and other generative AI systems.
Pricing Model: Paid
https://surgehq.ai/
Release Date: 05/11/2020

Surge AI Features:

  • High-quality human annotator workforce across domains (text, code, image)
  • Reinforcement Learning with Human Feedback (RLHF) workflows for model alignment
  • Supervised fine-tuning (SFT) dataset creation for large language models
  • Adversarial/red-teaming and evaluation pipelines to stress-test model behavior
  • Multi-language support and global annotator pool for over 70 languages
  • API/SDK integration enabling programmatic task submission and retrieval
  • Managed service option: partner with Surge’s team for end-to-end dataset creation
  • Real-time dashboards & quality-metrics (e.g., inter-annotator agreement, gold-standard checks)
  • Expert domain labellers (STEM, legal, medical, etc) for specialized tasks
  • Security & enterprise readiness (data privacy, SOC-II etc)

Surge AI Description:

Surge AI is built to address one of the most significant challenges in modern artificial intelligence: the availability of high-quality, human-driven labelled data. Many AI teams focus on architecture and compute—but the truth is that models are only as good as the data they learn from. Surge AI brings together a specialised workforce of expert annotators, global language and domain coverage, and tightly integrated tooling to support annotation, reinforcement learning with human feedback (RLHF), adversarial testing and evaluation workflows. From large-language model fine-tuning to generative image or code evaluation, Surge AI supports a broad range of modalities. Clients submit raw data or model outputs via API or web interface, specify domain-expert requirements (for example native Spanish speakers with legal background), and receive structured, high-integrity annotation results along with metrics that show annotation quality, agreement scores and worker reliability. The service includes managed workflows for organisations that prefer to outsource the entire dataset build and quality control process. With its focus on human intelligence plus scalable tooling, Surge AI aims to become the “data backbone” of AI systems that must be safe, aligned and performant at scale. For enterprises building or evaluating frontier AI models, Surge AI’s combination of expert annotators, rigorous processes and modern APIs offers a compelling way to accelerate dataset readiness and model-training throughput.

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