VLM Run provides Orion, a unified API gateway that combines Large Vision-Language Models with specialized computer-vision tools for visual intelligence tasks. This platform enables developers to reason over and act upon images, videos, and documents through a single chat-completions interface. It supports complex visual operations like detection, segmentation, and generation, offering a drop-in replacement for existing SDK patterns.
Funding
Funding not disclosed
Founders
Product
Problem
Extracting structured data from visual content like images, videos, and documents is a manual and time-consuming process. Traditional methods often require prompt engineering and juggling multiple tools, hindering operational efficiency and increasing costs.
Solution
VLM Run offers a unified API that automates the extraction of structured JSON data from visual content, eliminating the need for prompt engineering. The platform provides ready-to-deploy workflows tailored for industries like healthcare, finance, media, and legal, enabling the automation of critical information extraction and streamlining data processing. By using pre-built schemas and hyper-specialized models, VLM Run allows developers to integrate visual AI into their applications with strongly-typed, validated JSON outputs, facilitating connections to databases and software agents.
Target Audience
VLM Run primarily targets developers and engineers at AI startups and software enterprises across industries like healthcare, finance, media, and legal who need to automate visual data extraction and integration into their applications.
Features
- Unified API for handling various visual AI tasks, including captioning, table extraction, OCR, object detection, classification, and embeddings
- Pre-built schemas for rapid integration and accurate extraction of structured data
- Hyper-specialized models for industry-specific precision and iterative tuning
- Task-based pricing for cost-effective scaling and granular billing
- Real-time dashboard for monitoring data, model accuracy, and user feedback
- Flexible deployment options, including private deployments and model ownership
- Support for custom model fine-tuning to meet unique business requirements