LandingLens vs Supervisely
LandingLens
landing.aiSupervisely
supervisely.comSide by side
| Figure | LandingLens | Supervisely |
|---|---|---|
| Price from | Free | €199/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · AI Image Segmentation Software | 8.7 (#2) | 7.8 (#5) |
| Spec score · Image Recognition Software | 8.5 (#8) | 7.9 (#13) |
| Intended users | The maker describes LandingLens as a platform that can scale from a single production line to operations across multiple locations and teams. | The Community plan is described for open-source projects, individuals, ML researchers and small teams. |
| Security | LandingAI states that it is SOC 2 Type II compliant and GDPR compliant. | The security page describes role-based access permissions, SSL certificates and optional verification of uploaded assets with threat scanners. |
Plans
In their own words
LandingLens
LandingLens is a computer vision platform for building, training, and deploying image-based AI models without complex programming. Its workflow moves from uploading and labeling images to model training and deployment. A label book helps teams align on class and label definitions, and labeling tools can detect mislabeled images; multiple users can label together to build consensus. Models can be deployed to cloud or edge environments through options that include a Windows App and programmatic API, and teams can bring deployment data back for retraining. The platform supports managing projects across locations and teams. Deployment choices also include a Snowflake Native App that runs in the customer’s Snowflake environment and a VPC installation in customer AWS, Azure, or GCP environments on Kubernetes. The Free plan costs nothing and provides 1,000 credits per month, unlimited projects, three users, and up to 10,000 images per project. Training and inference stop at the credit limit; model downloads are limited to one active project and use is noncommercial. Enterprise pricing is available by contacting sales.
Supervisely
Supervisely is a computer vision platform for curating data, labeling images, video, 3D and medical imagery, and building production models. Its labeling workflows cover images, video, LiDAR and DICOM, with AI-assisted labeling and tracking. Teams can train, evaluate and deploy models, including through active-learning workflows. Data tools include search, visualization and quality statistics, plus connections to AWS, Google Cloud and Azure storage. A JSON API, Python SDK and AppEngine support integrations and workflow automation. Community is free with 5 GB of storage, 10,000 files and two members; projects in free teams are archived after 30 days of inactivity. Pro is listed at €199/mo, with 50 GB and 50,000 files; add-ons are available. Enterprise has custom pricing and can be self-hosted or cloud deployed, including on private networks without outside internet access. Supervisely says uploaded or generated customer data is private and not shared or used by the service. It was released in August 2017 and is headquartered in Tallinn, Estonia.