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Head to head · 2026

Dataloop vs Surge AI

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Dataloop

Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted…

3.8Not listed

Visit Dataloop (opens Dataloop in a new tab)

Surge AI

Reached $1B+ ARR bootstrapped, with zero venture funding until mid-2025

4.3Not listed

Visit Surge AI (opens Surge AI in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Dataloop does not list a price

  • Free plan

    Tie

    Neither has one

  • Higher rating

    Surge AI

    3.8 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onDataloopSurge AI
Our rating3.84.3Better
Starts atNot listedNot listed
Free planNoNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingSee pricing
Key features
  • Foundation model / GenAI integration and model management
  • RLHF/RLAIF - reinforcement learning from human/AI feedback
  • RAG (retrieval-augmented generation) workflow support
  • 100+ pre-built marketplace nodes and pipeline templates
  • Human-in-the-loop annotation combined with automated preprocessing
  • Data annotation and reinforcement learning from human feedback for AI training
  • Network of roughly 50,000 expert contributors worldwide
  • Reached $1.2B in annualized revenue entirely bootstrapped, no funding until 2025
  • Customers include OpenAI, Google, Anthropic, Microsoft, and Meta
  • First external fundraise in July 2025 targeted a $15B+ valuation
Pros
  • Combines data labeling, model management, and RLHF/RAG in one platform
  • Marketplace templates reduce pipeline setup time for common patterns
  • Enterprise compliance credentials (GDPR, ISO 27001/27701, SOC 2) support regulated use
  • Trusted by nearly every major frontier AI lab for training data quality
  • Bootstrapped growth to $1B+ ARR demonstrates exceptional capital efficiency
  • Expert-contributor network built specifically for quality over crowdsourced volume
Cons
  • No published pricing - requires a demo or consultation
  • Full lifecycle breadth means a real learning curve to use effectively
  • Claimed 20x development speed is a vendor-reported figure
  • Quote-based pricing requires a sales conversation, no published self-serve rates
  • Built for large-scale AI training projects, not suited to small one-off tasks
  • Primarily serves frontier AI labs rather than general business use cases
CompanyDataloopSurge AI, founded 2020

Prices come from each vendor's pricing page, last checked 20260824. Check the vendor before you buy.

FAQ

Questions people ask

Is Dataloop better than Surge AI?

In our reviews Dataloop scores 3.8 and Surge AI scores 4.3. The better pick depends on the job. Dataloop: Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft. Surge AI: Reached $1B+ ARR bootstrapped, with zero venture funding until mid-2025.

Which is cheaper, Dataloop or Surge AI?

Dataloop: see pricing. Surge AI: see pricing.

Do Dataloop and Surge AI have free plans?

Neither lists a free plan.

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