Landing.ai

LandingLens Visual AI Platform by LandingAI is an end-to-end computer vision and visual AI toolset designed to train, deploy, and scale vision models across industries. It offers visual AI capabilities as a platform and as Snowflake-native tooling, enabling document understanding, object detection, and code generation via Domain-Specific large vision models. The platform emphasizes fast deployment, governance, and the ability to work directly with data in Snowflake while providing developer-friendly APIs and tooling.

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Key Capabilities

• End-to-end Visual AI platform for training and deploying vision models
• Snowflake-native integration: LandingLens on Snowflake for in-database vision tasks
• Agentic Document Extraction: structured data extraction from diverse documents
• Agentic Object Detection: reasoning-driven detection guided by prompts
• Agentic Coder: GenAI-powered app builder for developers
• Histopathology App: image retrieval via specialized large vision models
• Visual Prompting: intuitive AI prompting workflow for model creation
• Domain-Specific Large Vision Models (LVMs) trained on your data
• Broad industry applicability: Automotive, Electronics, Life Sciences, Manufacturing, Pharma, etc.
• High reliability and scalable inference for production-grade deployments

How it Works

1. Train and customize vision models on your proprietary data using LandingLens.
2. Deploy models with accelerated MLOps to reduce time-to-value.
3. Access powerful visual AI capabilities directly in your data workspace (including Snowflake) or via LandingLens APIs.
4. Leverage domain-specific models and visual prompts to build robust computer vision solutions with minimal engineering overhead.

How to Use LandingLens

• Sign up and choose your platform (LandingLens or LandingLens on Snowflake).
• Upload or connect your data sources (images, documents, video frames, etc.).
• Select or train the appropriate model (Document Extraction, Object Detection, etc.).
• Deploy to production with scalable inference and governance controls.

Safety and Governance

• Data privacy: keep data within your Snowflake environment when using LandingLens on Snowflake.
• Governance features to manage data access, model versions, and deployment policies.

Core Features

• End-to-end Visual AI platform for training and deploying vision models
• Snowflake-native integration: run visual AI tasks without moving data
• Agentic Document Extraction: structured data extraction from complex documents
• Agentic Object Detection: prompt-guided, accurate object recognition
• Agentic Coder: GenAI-powered app builder for rapid development
• Histopathology App: specialized image retrieval with histopathology LVMs
• Visual Prompting: intuitive workflow to compose AI prompts for model creation
• Domain-Specific Large Vision Models trained on user data
• Accelerated MLOps: faster iterations from prototype to production
• 30K+ users and 99.99% uptime for reliable deployments

Why Choose LandingLens

• Simplified tooling to streamline vision model development from data to deployment
• Ability to run in Snowflake to keep data security and governance intact
• Ready-made modules for common domains that speed up delivery

Use Cases

• Document understanding and data extraction from complex forms
• Object recognition and scene analysis in manufacturing or automotive contexts
• AI-assisted coding and app generation for vision-driven solutions
• Histopathology image retrieval and analysis

Availability & Access

• Access the platform via LandingLens, LandingLens on Snowflake, or via API tools for developers.
• Comprehensive documentation and developer resources available for onboarding.

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Example Workflows

• Workflow A: In-Snowflake document extraction — load documents, apply Agentic Document Extraction, extract structured data, and deliver to downstream analytics within Snowflake.
• Workflow B: Vision app prototyping — use Agentic Coder to generate an app builder workflow, integrate with models (Object Detection, Document Extraction), and deploy at scale.