Scale AI and Roboflow

Scale AI outsources your labeling, Roboflow automates it

Scale AI vs. Roboflow? Over 2 million engineers create datasets, train models, and deploy with Roboflow, and every plan, including the Free tier, comes with self-hosted inference, model weights download, and a private workspace.

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Why are companies choosing Roboflow?

Roboflow is enterprise vision AI infrastructure, used by more than half of the Fortune 100, with SOC 2 Type II, HIPAA, and air-gapped deployment. Create datasets, train models, and deploy to production.

  • End-to-End Vision, One Platform

    From labeling to deployment - build, train, and launch with ease.

  • Built for Builders, Ready for Anything

    Interoperable infrastructure for developers to create custom vision solutions.

  • AI at the Edge, Without Limits

    Deploy seamlessly to any edge device and power real-time vision AI.

  • Roboflow Annotate labeling cans with AI box prompting

    Fast data labeling

    Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.

  • Workflow blocks for notifications and integrations

    Build vision AI applications with ease

    Use a low-code open source platform to simplify building and deploying vision AI applications.

  • A team reviewing a detected pallet in a warehouse aisle

    Machine learning expertise, always

    Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.

  • Photos from datasets across industries

    Datasets and models for every industry

    Access thousands of datasets and pre-trained models to kickstart your computer vision projects.

  • Logos of OpenAI, Microsoft, Meta, Anthropic, Google and Qwen

    Flexible model licensing

    Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.

Want to migrate from Scale AI to Roboflow?

  • Import images to Roboflow

    Bring data from Scale AI to Roboflow for model training.

  • Deploy with Roboflow

    No matter where you train your model, use Roboflow's trusted deployment solutions.

  • Automate data labeling

    Use AI labeling in Roboflow to automate 90% of human labeling.

OK I’m ready, how do I use Roboflow?

Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.

Start a free Roboflow account

Talk to a Vision AI engineer about automating your labeling

Bring us your labeling backlog and we'll show Auto Label on your data on the first call.

Ask us about:

  • A live demo of Auto Label on your own images
  • A labeling workflow your own team runs, with AI drafting the first pass
  • Training and deployment in the same platform
  • Pricing compared against your current labeling spend

Over 80,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Compare Scale AI and Roboflow

Scale AI provides data services that combine automated labeling with human review across images, video, text, and 3D data. Roboflow is built for teams that want their engineers and domain experts to manage the full computer vision workflow—from deciding what an image should be labeled to seeing how the resulting model performs in production.

That connection matters when the difficult examples require your team’s expertise. With Auto Label (opens in a new tab), describe your classes in a text prompt to generate draft annotations. Your specialists review ambiguous cases and correct mistakes. Those reviewed images become a versioned dataset you can use to train and evaluate a custom model in the same platform. When testing reveals a missed defect or a new product variation, your team can address it directly.

Roboflow Agent helps carry that work into an application, selecting models and building Workflows that connect predictions with counting, OCR, business logic, and integrations. The ChatGPT plugin (opens in a new tab) and MCP integration let you manage labeling jobs, launch training, and test predictions conversationally. Deploy through a hosted API or run supported models on your own hardware with Roboflow’s open-source Inference server.

Private projects are available on Roboflow’s free plan, along with unlimited seats, 10 monthly credits, and supported model weight downloads. Self-hosted inference is included. Enterprise options add role-based access, SSO, folder permissions, and audit logs, so organizations can govern who labels data, reviews work, and manages applications. Teams can keep annotation decisions with the people who understand the task and connect those decisions to measurable model improvements.

Scale AI vs Roboflow: Feature by Feature

FeatureRoboflowScale AI
Managed labelingAvailable; a managed labeling service is availableYes, the core offering; Scale's taskers annotate images, video, text, and LiDAR data submitted through the API
Labeling with your own teamYes, Admin, Labeler, and Reviewer roles with assignment tracking; annotation history with version revertYes, Scale Studio; add your own annotators, with review layers, consensus, and annotator metrics
AI-assisted labelingYes, Auto Label labels the classes you describe in a text prompt; Smart Polygon powered by Meta AI's Segment Anything; Label Assist pre-annotates with your own trained modelsYes; one-click ML object detection with adjustable vertices in Studio, and import of model-annotated data (pre-labeling not in the free tier)
Data and task typesComputer vision; object detection, instance and semantic segmentation, classification, keypoints, OCR, depth estimation, and multimodal tasksBroad; images, video, text, documents, audio, and 3D sensor fusion (LiDAR), with box, polygon, line, point, cuboid, ellipse, and segmentation annotations
Export formats40+ formats, including COCO, YOLO, and Pascal VOCVia API or platform; COCO, YOLO, and Pascal VOC exports not documented
Dataset toolsBuilt in; dataset versioning, preprocessing, and augmentationData Engine; collect, curate, and annotate data; self-serve versioning and augmentation not documented
Train your own vision modelYes, RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and moreNot documented
Edge deploymentYes, NVIDIA Jetson, GPU servers, Raspberry Pi, x86, or Roboflow AI1, online or fully offlineNot documented
Offline / air-gappedYes, Docker-based offline install with no cloud dependencyNot documented for the data engine; Studio data is stored in Scale Cloud
Public datasets and modelsYes, 1,000,000+ datasets and 100,000+ pre-trained models on Roboflow UniverseNot documented
API and SDKYes, Python SDK, REST API, MCP server, public docs; open-source inference server and supervision libraryYes, API with a public reference and product documentation
ComplianceSOC 2 Type II, HIPAA with BAAs, PCI DSSSOC 2 Type II, ISO/IEC 27001:2022, FedRAMP High, and DoD IL4
Self-hosted inference serverYes, open-source inference server for custom and foundation modelsNo vision inference server; open-source projects focus on LLMs, agents, and benchmarks
Open-source CV libraryYes, supervision for detections, tracking, annotation, and evaluationNo; open-source projects focus on LLMs, agents, and benchmarks rather than computer vision utilities
PricingPublished plans; every plan, including Free, includes self-hosted inference, model weights download, and a private workspaceStudio free tier with 1,000 labeling units a year; managed labeling and paid tiers by quote

Best Scale AI Alternatives

Roboflow is the top Scale AI alternative for teams that want labeling, training, and deployment in one platform. Teams comparing Scale AI also look at: