Superb AI pricing, plans and limits
Seoul-based vision AI vendor selling data labeling, curation, model training and video analytics to industrial and mobility teams, all quote-only.
- Best for
- ML engineering leads at automotive and manufacturing enterprises
- Not for
- Solo developers or small teams wanting transparent self-serve pricing
Should you use Superb AI?
Superb AI sells vision AI to industrial and mobility teams, from data labeling to factory inspection, with every plan priced by quote. It has raised over $40 million, holds patents in four technology areas and says it is heading for a 2026 listing. Pick it for on-premise or edge needs; look elsewhere if you want public prices or self-serve signup.
Model Diagnosis quantitatively pinpoints which labeled examples are hurting performance across up to 10 models per dataset at once, closing the loop between labeling and training instead of treating them as separate tools.
Deep ties to Korean conglomerates (Hyundai, Samsung, Doosan as both customers and investors) plus SOC 2/ISO 27001 certification create switching costs in regulated manufacturing and defense accounts, but the core labeling and active-learning technology is broadly replicable by well-funded rivals.
Also for
- Computer vision teams building defect-detection or surveillance models
- ML engineers building computer vision models for autonomous vehicles and robotics
Show 3 more
- Manufacturing quality-assurance teams running defect-detection pipelines
- Security and defense integrators processing video surveillance data
- Data science leads managing multi-annotator labeling workflows at enterprise scale
Also not for
- Startups needing a same-day trial without a sales call
Main trade-off
Zero published pricing anywhere in the funnel forces every prospect through a sales call before they can compare costs, filtering out self-serve buyers that rivals with visible starter tiers capture directly.
Superb AI pricing
| Plan | Monthly price | What it includes |
|---|---|---|
| Superb Platform - Cloud | Custom | Curate, Label, Model and Apps modules, Image, video and point cloud labeling, Pre-trained auto-labeling models, MFA and IP allowlist, Unlimited Collaborator seats |
| Superb Platform - On-Premise | Custom | Air-gapped or private cloud (VPC) deployment, Data curation, labeling and review, model training, Audit logs and permission management, Hardware provisioning offered by the vendor |
| Video Analytics | Custom | Real-time object detection and tracking, VLM- and LLM-based natural language video search, Model retraining, Monitoring dashboards |
| Defect Detection | Custom | Deploys from as few as 100 normal images, No defect data or labeling needed, Structural and logical defects, Adjustable sensitivity |
| Edge AI | Custom | Inference without network access, Runs in sites without a power supply, Integrates with production lines and robots |
| Integrated Project Execution and Operation Package | Custom | Model development and system integration, Regular updates and operations by Superb experts, Dashboard support |
| AI Capability Building Package | Custom | Superb Platform training, Hands-on model development education, Bootcamps led by Superb experts |
How the pricing works, in full
Every offering is quote-only: Superb Platform Cloud and On-premise, Video Analytics, Defect Detection, Edge AI and two service packages each end in a Contact Sales or Contact us form. No list price, seat price or trial length is published. The Cloud plan is described as customizable by AI credits, data volume and user seats, with unlimited Collaborator seats. A Start for free signup link sits in the site header, but its limits are not stated. Pricing page read 1 November 2026; compare quotes against Encord before committing.
Before you commit
- On-premise deployment requires customer-provided GPU/server infrastructure sized by Superb AI's sales team, an added cost not shown on the pricing page.
- AI Credits for automation features are billed separately from the base platform subscription.
What Superb AI does
Superb AI is a Korean vision AI vendor with offices in Seoul, San Mateo and Tokyo. Its platform labels images, video and point clouds, curates datasets and trains models, and its pricing is quote-only. A December 2025 pre-IPO round lifted total funding to $42.8 million.
Labeling for images, video and point clouds
The Cloud plan lists labeling for three data types, with pre-trained auto-labeling models and progress tracking, plus unlimited Collaborator seats.
Data curation
Data cleaning, high-value data selection and distribution visualization sit in the Curate module, so teams label fewer samples.
Model training and comparison
Teams train models, compare versions and check for weak spots in one workspace, then ship them to a cloud endpoint or the on-premise runtime.
Video Analytics
Natural-language search over footage runs on VLMs and LLMs, with a vendor-claimed search time near 2 seconds over a 10-million-frame index.
Show all 6 features
ZERO vision foundation model
An in-house industrial vision model the company says handles tasks with minimal task-specific training, backed by 31 patents across four technology areas.
Cloud, on-premise or edge deployment
Deployments range from air-gapped on-premise installs to edge inference at sites with no network access or power supply.
Works with
- AWS
- Python SDK (spb-cli)
- CLI
Missing integrations
- Snowflake
- Databricks
- Slack
Most users expect these and they are not currently supported.
Capabilities
- Computer vision
- Data labeling
- Mlops
- Dataops
- Active learning
- Vision foundation model
- Data centric AI
Strengths and limits
Strengths
- Shows security certification marks on its own security page, a bar many small labeling vendors do not publish.
- Covers labeling, curation, training and deployment in one vendor, so a team avoids stitching tools together.
- Deployment options reach air-gapped on-premise and edge sites with no network, which self-serve labeling tools rarely cover.
- Won first place at CVPR 2026 and advanced to Phase 3 of Korea's Sovereign AI Foundation Model project, per its About page.
Limits
- No published pricing: every plan needs a sales conversation before a buyer sees a number.
- Free signup exists but its limits and trial length are not stated anywhere on the site.
- Audit reports and the SOC 2 type are not published, so certification claims need a procurement check.
- Focus is industrial and mobility vision work; language-model data labeling is outside its scope.
Superb AI alternatives
| Tool | Price from | Free plan | Runs on | Rating |
|---|---|---|---|---|
| Superb AI This page | Quote | No | Web | 3.4 |
 EncordPick Encord if you want more public detail before a sales call; pick Superb AI if on-premise, edge or video search matter more. | Quote | No | Web | 3.8 |
 DatabricksPick Databricks if labeling needs to live inside a lakehouse; pick Superb AI for a vision-specific workflow. | -- | Yes | Web | 4.2 |
 Surge AIPick Surge AI for language-model data; pick Superb AI for computer vision annotation and inspection. | Quote | No | Web | 3.3 |
Superb AI facts
- Deployment
- Cloud · On-premise
- Compliance
- SOC 2 · ISO 27001 · Good Software (GS)
- Works offline
- Yes
- Minimum skill level
- Intermediate
- Price band
- Enterprise pricing
- Languages
- English
- Training
- Documentation · Academy · Bootcamps
- Maker founded
- 2018
- Total funding
- $42.8M (63B KRW) in total, including a $10.2M Series C (Oct 2024) and a $9.5M pre-IPO round (Dec 2025)
Data and privacy
Proprietary
Questions about Superb AI
How much does Superb AI cost in 2026?
Superb AI publishes no prices. The Cloud and On-premise platform plans, Video Analytics, Defect Detection, Edge AI and both service packages all route to a sales form. The Cloud plan is said to be adjustable by AI credits, data volume and seats, so expect a quote shaped by your data size and deployment.
Does Superb AI have a free plan?
There is a Start for free signup in the site header, but the company does not say what it includes, how long it lasts or what data caps apply. Treat it as an unscoped trial account. Every named plan still requires contacting sales.
Which tools compete with Superb AI for vision data work?
Encord is the closest labeling-first alternative and publishes more for buyers to read before a sales call. Scale AI suits outsourced labeling at volume, Databricks suits teams who want labeling inside a lakehouse, and Surge AI fits language-model data rather than vision work.
What does Superb AI sell besides a labeling tool?
Beyond the Superb Platform it sells Video Analytics for natural-language video search, Defect Detection for factory lines, Edge AI for sites without network access, and two expert service packages. Its ZERO foundation model is presented as the base for industrial vision tasks with little training data.
What should a buyer check before signing with Superb AI?
Use the Start for free signup or contact sales for a demo. Teams with strict data rules should ask about the on-premise plan, which supports air-gapped and private cloud installs, and request the audit reports behind its certification marks before sharing production data.
About Superb AI
Superb AI is a Seoul-founded vision AI company, started in 2018 and a Y Combinator alumnus, that sells one platform for labeling image, video and point-cloud data, curating datasets and training models, plus separate products for video monitoring and factory inspection. It has raised $42.8 million (63 billion won) in total, most recently a $9.5 million pre-IPO round in December 2025 led by Hanwha Asset Management's venture fund with POSCO Investment, according to Wowtale. Headquarters sit in Gangnam-gu, Seoul, with a U.S. office in San Mateo and a Japan office in Tokyo.
Read the full background
The Superb Platform covers curation, labeling, review and model training in one workflow. Its pricing page lists auto-labeling with pre-trained models, model comparison and vulnerability assessment, and deployment to cloud endpoints or on-premise runtime software. Video Analytics adds natural-language search over footage, with a vendor-claimed average search time of about 2 seconds across 10 million frames. Defect Detection is described as deployable within a day from as few as 100 normal images, with no defect data needed. ZERO, which the company calls Korea's first industry-tailored vision foundation model, targets tasks that need little task-specific training.
The company names Samsung, Kakao, NCSOFT, LG Electronics, Hyundai Motor Company, Woowa Brothers and Toyota among its customers and claims more than 100 enterprise deployments, all vendor statements. Its security page states AES-256 encryption, role-based access control and contractual data ownership, and shows SOC 2, ISO 27001 and Korean Good Software certification marks. It does not publish the audit reports or say which SOC 2 type applies, so ask for the report during procurement. Superb AI describes itself as an NVIDIA physical AI partner in Korea and works with Amazon Web Services, where it lists the platform on AWS Marketplace.
Recent milestones, all from the company's About and investor pages: a first-place result at CVPR 2026 in June, advancement to Phase 3 of the Sovereign AI Foundation Model project run by Korea's Ministry of Science and ICT in August, and 31 patents spread across no-code AI, data-centric AI, industrial AI and physical AI. Investor notices since July 2026 cover a bonus share issue and a switch to electronic share certificates, in line with the public listing the company has said it is preparing for 2026.
Where the alternatives win: buyers who want to compare public prices before talking to sales will find more to read on Encord, and Scale AI is the larger name for outsourced labeling work. Surge AI fits language-model data, which Superb AI does not target, and Databricks suits teams that want labeling inside a lakehouse. A solo developer wanting self-serve signup will meet a sales form here. For the wider field, see the data science and ML directory and the best data science and ML tools guide.
Sources and guides
Official sources
- Superb AI official site Vendor
- Superb AI Documentation Docs
- Superb AI SDK Reference Docs
- GitHub repository GitHub
Product facts on this page (pricing, plans, integrations, compliance) are read from Superb AI's own pages and documentation. The verdict is Hokai's reading of them, not the vendor's claim.
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