VLM Run

The Unified Gateway for Visual AI

Freemium

Description

VLM Run provides a unified API designed to help developers confidently integrate visual AI into production environments. The platform simplifies the process by eliminating the need for prompt engineering, allowing users to focus on building applications. It is engineered for agentic AI and offers structured outputs, making it easier to work with visual data.

With VLM Run, developers can leverage pre-built schemas to quickly call the API and receive strongly-typed, validated JSON. This ensures that the extracted visual data can be reliably connected to databases and software agents. The service aims to deliver accurate results with weekly improvements and offers flexible deployment options for enterprises.

Key Features

Unified API: Handle all visual AI needs with a single API, simplifying complex workflows.
Structured Outputs API: Directly integrate visual AI with applications using structured, validated JSON outputs.
Pre-Built Schemas: Pick a schema and call the API, saving time on engineering visual AI.
No Prompt Engineering: Eliminates the need for prompt engineering or coercing chat-based VLMs.
Accurate Results: Models are improved weekly to enhance accuracy, avoiding long waits for frontier model updates.
Hyper-Specialized Models: Access highly precise models for specific industries, tunable iteratively.
Rapid Fine-Tuning: Adapt models quickly to unique needs with fixes deployed in hours, not months.
Flexible Deployment Options: Offers private deployments (including In-VPC) and model ownership for complete control.
Cost-Effective Scaling: Process high volumes of data more affordably than many alternative solutions.
Operational Dashboard: Real-time insights into data, model accuracy, user feedback, and key metrics in one unified view.

Use Cases

Integrating visual AI into production applications for developers.
Automating visual data extraction with industry-specific Visual Language Models (VLMs).
Building agentic AI systems that require visual understanding and structured data.
Extracting strongly-typed, validated JSON from images for reliable database and software agent integration.
Operationalizing and monitoring visual AI model performance through a unified dashboard.