Encord vs LandingLens
Encord
encord.com
LandingLens
landing.aiSide by side
| Figure | Encord | LandingLens |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · AI Image Segmentation Software | 7.3 (#8) | 8.7 (#1) |
| Intended users | The pricing page positions Starter for individuals and small teams prototyping AI applications, Team for teams scaling a few applications, and Enterprise for companies shipping multiple applications across teams. | The maker describes LandingLens as a platform that can scale from a single production line to operations across multiple locations and teams. |
| Security | The security page says data at rest is encrypted with AES-256 and data in transit uses HTTPS over TLS, including TLS 1.3 support. | LandingAI states that it is SOC 2 Type II compliant and GDPR compliant. |
| Support | The listed plans include self-serve support for Starter, onboarding support for Team, and enterprise SLA and support for Enterprise. | The pricing page lists community and in-product support, while customer success is included with Enterprise. |
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.