Vendor profile · Directory · Platform
SuperAnnotate
A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
| Model | Platform + expert services (SME) |
|---|---|
| Founded | 2018 |
| Headquarters | San Francisco, CA |
| Pricing | Free tier available; paid tiers (Starter / Pro / Enterprise) quoted — no public prices |
| Website | www.superannotate.com |
What SuperAnnotate does
SuperAnnotate was founded in 2018 by brothers Vahan and Tigran Petrosyan and is headquartered in San Francisco, with Armenian engineering roots. The platform handles image, video, text, audio and medical formats with dataset management and curation on top of annotation.
Through SME, its expert-services arm, the company recruits domain experts for training and evaluation projects and reports paying $15–$150 per hour by domain and geography (third-party reports). It raised a $50M Series B backed by Socium Ventures, NVIDIA, Databricks Ventures and Dell Technologies Capital.
Strengths
- Platform plus expert services under one roof
- Strong multimodal editor, including medical imaging formats
- Marketplace of vetted annotation teams for overflow capacity
Considerations
- No tier shows a price — budgeting needs a sales conversation
- Expert-side reviews flag gaps between listed “up to” rates and actual offers
- Approval into the expert network does not guarantee project work
Other platforms in the directory
- Labelbox — The platform pick: run annotation in-house on published usage pricing, and bolt on expert services (Alignerr) only where you need them.
- Prolific — The transparency benchmark: a self-serve participant platform with fully published pricing and an enforced participant pay floor.
- Kili Technology — A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
- Encord — A data infrastructure platform — Annotate, Index, Active — built for physical AI: robotics, autonomous vehicles and sensor-heavy multimodal data.
- CVAT — The open-source annotation workhorse: born at Intel, now run by CVAT.ai as a free self-hosted Community edition plus paid cloud and enterprise tiers with published prices.
- Label Studio (HumanSignal) — The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
- Lightly AI — An ETH Zurich spin-off built on one idea: label less, but label the right data — curation and self-supervised pretraining first, annotation second.
- BasicAI — A platform-and-services company built around multi-sensor data — LiDAR fusion annotation for automotive and robotics is its home ground.
- V7 — The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
- Dataloop — An Israeli data-pipeline and annotation platform with a strong autonomous-vehicle story — acquired by Dell Technologies in December 2025.
Frequently asked questions
What does SuperAnnotate do?
A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
How much does SuperAnnotate cost?
SuperAnnotate does not publish pricing (free tier available; paid tiers (starter / pro / enterprise) quoted — no public prices). Any figure quoted by third parties is an estimate; budget discovery requires engaging the vendor directly.
Who is SuperAnnotate best for?
Multimodal programs that want one vendor for the platform and, when needed, expert labor on top of it.
Who should not use SuperAnnotate?
Workers expecting immediate projects — third-party reviews note many approved experts wait for project assignment, and offers can land below listed maximum rates.
Sources
- SuperAnnotate pricing & features profile — Softwares.com (accessed Nov 2026)
- SuperAnnotate (SME) review, researched 8 Nov 2026 — AITraining.jobs
Facts on this page were drawn from the public sources above, checked November 2026. If you spot an error, tell us at the corrections address in the footer — we fix sourced errors and note the change.
Profile last updated: November 8, 2026 · How we write profiles · Corrections: [email protected]