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Dataloop vs Scale AI: Which Data Labeling Is Better in 2026?

Compare pricing, features, integrations, verified reviews, AI capabilities, security, and customer satisfaction — side by side, with no marketing spin.

Dataloop
Dataloop
Leads 3/9
Rating
—
Reviews
0
From
Custom

in Data Labeling

Scale AI
Scale AI
Rating
—
Reviews
0
From
Custom

in Data Labeling

Jump to scorecard Ask SIA

The Short Answer

Dataloop vs Scale AI, in 15 seconds

Choose Dataloop if…

  • You depend on a broad integration ecosystem
  • You have strict security & compliance needs
  • You need the broader feature set

Choose Scale AI if…

  • You want deeper AI and automation features

Head-to-Head Scorecard

How Dataloop and Scale AI score

Dataloop leads on 3 of 9 measured dimensions.

  • Customer Rating

    Average score from verified user reviews

    Even
    Dataloop
    No reviews
    Scale
    No reviews

  • Review Volume

    Number of verified reviews — a proxy for adoption

    Even
    Dataloop
    0
    Scale
    0

  • Entry Pricing

    Lowest published starting price (free plan = lowest)

    Even
    Dataloop
    Custom
    Scale
    Custom

  • Free Access

    Availability of a free plan and/or free trial

    Even
    Dataloop
    Paid only
    Scale
    Paid only

  • Integrations

    Number of listed third-party integrations

    Dataloop
    Dataloop
    4
    Scale
    0

  • Features

    Number of listed product capabilities

    Dataloop
    Dataloop
    7
    Scale
    6

  • AI Features

    Capabilities mentioning AI, automation or ML

    Scale AI
    Dataloop
    1
    Scale
    3

  • Security & Compliance

    Number of listed compliance certifications

    Dataloop
    Dataloop
    4
    Scale
    —

  • Platforms & Deployment

    Supported platforms and deployment options

    Even
    Dataloop
    4
    Scale
    4

Feature Comparison

Dataloop vs Scale AI feature breakdown

Search or filter the full feature matrix — core features, AI, integrations, APIs, security and compliance.

Dataloop
Scale AI
Overview
User rating
—
—
Pricing model
Custom Quote
Custom Quote
Starting price
Custom
Custom
Free version
Free trial
Features
Key capabilities
Unstructured data management & versioningModel operations & fine-tuningPipeline orchestration (drag-drop / Python SDK)Serverless functionsHuman-in-the-loop feedback (RLHF)Node & model marketplace+1
Data Engine for model trainingData labeling & annotation at scaleAgentic AI for enterprise automationAI evaluation & benchmarkingGenAI platform deploymentPhysical AI for robotics
AI features
Multi-modal LLM/RAG pipelines
Agentic AI for enterprise automationAI evaluation & benchmarkingPhysical AI for robotics
Integrations & API
Integrations
NVIDIAMicrosoftGoogle CloudQualcomm
—
Public API
Platforms
Deployment
CloudSaaS
CloudSaaS
Platforms
WebAPI
WebAPI
Mobile support
Security & Compliance
Compliance
SOC 2 Type IIISO 27001ISO 27701GDPR
—
Vendor
Company
—
—
Verified
Founded
—
2016
Headquarters
—
—

Pricing Comparison

Dataloop vs Scale AI pricing

Entry pricing, plan tiers and the cost factors that shape total cost of ownership.

Dataloop

Custom to start
CustomCustom
  • Data management & versioning
  • Model ops & pipelines
  • Human-in-the-loop feedback
  • Enterprise security & support

Scale AI

Custom to start
EnterpriseCustom
  • Data Engine & annotation
  • Agentic AI & GenAI deployment
  • Model evaluation & benchmarking
  • Dedicated support

Total cost of ownership factors

Free planDataloop Scale
Free trial to evaluateDataloop Scale
Transparent published pricingDataloop Scale
Public API (build vs. buy add-ons)Dataloop Scale

Beyond list price, factor in implementation, training, add-ons and per-seat scaling when estimating total cost of ownership.

Pros & Cons

Dataloop vs Scale AI: strengths and trade-offs

Dataloop

Pros

  • Broad integration ecosystem (4)
  • Compliance: SOC 2 Type II, ISO 27001, ISO 27701
  • Public API available

Cons

  • No free plan
  • No free trial
  • Pricing is quote-based (less transparent)

Scale AI

Pros

  • Stronger AI / automation features
  • Public API available

Cons

  • No free plan
  • No free trial
  • Pricing is quote-based (less transparent)
  • Fewer native integrations than the alternative
  • No compliance certifications listed

Buyer Fit

Who should use Dataloop vs Scale AI?

Startups

Either

Either keeps early-stage costs lowest with its entry tier.

Small businesses

Either

Either offers the most accessible pricing for lean teams.

Agencies

Dataloop

Dataloop connects to more tools for multi-client workflows.

Enterprises

Dataloop

Dataloop leads on compliance and breadth for complex needs.

Ecommerce

Dataloop

Dataloop integrates with more of the commerce stack.

SaaS companies

Scale AI

Scale AI is the more developer- and automation-friendly choice.

Integration overlap

Only in Dataloop (4)

NVIDIAMicrosoftGoogle CloudQualcomm

Only in Scale AI (0)

Ask SIA which solution fits your business

SIA, Saaskart's AI buying assistant, weighs Dataloop and Scale AI against your team size, budget, integrations and compliance needs — then recommends the right fit and the questions to ask each vendor.

Get a personalised recommendation

Dataloop vs Scale AI — Frequently Asked Questions

What is the difference between Dataloop and Scale AI?

Dataloop and Scale AI are both Data Labeling solutions. Dataloop is rated 0.0/5 by 0 users, while Scale AI is rated 0.0/5 by 0 users. The main differences lie in pricing, features, and target audience.

Which is better, Dataloop or Scale AI?

Based on user ratings, Dataloop scores higher at 0.0/5. The best choice depends on your team size, budget, and specific requirements.

Which is cheaper, Dataloop or Scale AI?

Both products have custom pricing. We recommend contacting both vendors for a quote tailored to your team size.

Does Dataloop or Scale AI have a free plan?

Neither Dataloop nor Scale AI currently offers a free plan, but both offer paid plans with various tiers.

Can I switch from Dataloop to Scale AI?

Switching between Dataloop and Scale AI is possible. Both support data export. Check integration compatibility and plan for data migration to minimise disruption to your team.

Who should use Dataloop vs Scale AI?

Dataloop is best suited for teams that prioritise enterprise features. Scale AI works well for teams needing advanced capabilities.

Our Verdict

The bottom line on Dataloop vs Scale AI

Best Overall

Either

It's a tie balances user satisfaction and proven adoption.

Best for Startups

Either

It's a tie has the friendliest entry point for new teams.

Best for Enterprise

Dataloop

Dataloop leads on compliance and feature breadth.

Best Value

Either

It's a tie delivers the lowest cost to get started.

Best AI Features

Scale AI

Scale AI ships more AI and automation.

Highest Rated

Either

Both earn equal user ratings.

Ready to decide between Dataloop and Scale AI?

Visit Dataloop Visit Scale AI Ask SIA
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