Honest comparison

Firepoint Annotation Suite vs Scale AI

Two very different shapes of the same problem. Scale AI is a managed data-labeling vendor with a large human workforce and production ML automation. Firepoint is a self-serve, privacy-first annotation workbench built into a compression platform. Here is the honest breakdown of where each one fits.

Firepoint

A workbench your own team drives.

Files processed in-browser — sensitive data never leaves your machine in the studios.
Cryptographically sealed, verifiable dataset exports.
Annotation + lossless compression in one platform.
Flat per-seat pricing, live in seconds.

Scale AI

A managed vendor that delivers labels for you.

Large managed human labeling workforce.
Production ML models for automated labeling.
Enterprise SLAs and very high throughput.
End-to-end managed data pipelines.

Feature-by-feature

Capability	Firepoint	Scale AI
Self-serve, start in seconds (no sales call) Firepoint studios open in your browser the moment you upgrade.
Data stays in your browser (zero upload for studios) Point cloud, video, audio and DICOM studios process files entirely client-side.
Tamper-evident, sealed dataset provenance Every Firepoint export can be cryptographically sealed and verified.
Integrated lossless compression of datasets Annotation and compression live in one product.
Flat per-seat pricing Apex is a predictable seat price, not per-label enterprise contracts.
Managed human labeling workforce Scale AI operates a large managed annotation workforce — Firepoint does not.
Production ML auto-labeling models Scale ships trained models for automated labeling; Firepoint stays honest — automation needs real ML.
Massive throughput / SLA-backed delivery For millions of labels with guaranteed turnaround, a managed vendor wins.
AI-assisted suggestions inside the editor Firepoint uses LLM assistance for text/image annotation; humans stay in control.

Yes Partial Not offered

Modality coverage

Firepoint now ships a dedicated studio for every major annotation modality Scale AI is known for — the difference is approach: you and your team drive the tools directly, in your browser.

Image & text annotation

Firepoint

AI-assisted + manual studio

Scale AI

Managed workforce + ML

RLHF preference data

Firepoint

N-candidate ranking studio

Scale AI

Managed RLHF ops

3D / LiDAR point clouds

Firepoint

In-browser 3D bbox studio

Scale AI

Managed 3D labeling

Video object tracking

Firepoint

Keyframe + interpolation studio

Scale AI

Managed + auto-tracking

Audio diarization

Firepoint

Waveform segment studio

Scale AI

Managed transcription

Medical / DICOM

Firepoint

In-browser viewer + ROI

Scale AI

Managed medical ops

Choose Firepoint when…

Your data is sensitive and can’t leave your environment.
Your own team (or experts/clinicians) does the labeling.
You want sealed, verifiable provenance on every export.
You want predictable per-seat pricing and instant access.

Choose Scale AI when…

You need millions of labels delivered, managed end-to-end.
You want production ML models doing automated labeling.
You don’t have an in-house labeling team and want a vendor.
You need SLA-backed turnaround at very large scale.

Straight talk: Firepoint does not run a managed labeling workforce or ship automated-labeling ML models — genuine automation requires dedicated, trained models. What Firepoint gives you is a fast, private, sealed workbench so your own people can annotate every major modality and ship trustworthy datasets. For hands-off, automated labeling at massive scale, a managed vendor like Scale AI is the right tool.

Try the annotation suite yourself

Every studio — image, RLHF, 3D point cloud, video tracking, audio diarization and DICOM — is included with the Apex plan and opens directly in your browser.

See Apex pricing Open the workstation