VLM Run

What VLM Run does

VLM Run (legal entity Autonomi AI Inc.) is a Palo Alto-based private company founded in 2022 that operates an API-first visual intelligence platform built around its flagship product, Orion. Orion is described as a "visual agent" that combines the reasoning capability of large Vision-Language Models with the accuracy of specialized computer-vision tools, exposed through a single OpenAI-compatible REST API at api.vlm.run/v1. The platform ingests images, documents, video, and audio and outputs structured JSON, with support for custom schemas via Pydantic/Zod and visual grounding bounding boxes for auditability. VLM Run complements Orion with open-source projects (vlmrun-hub for domain schemas, vlmbench for VLM benchmarking, and mm for multi-modal context) and a Skills/Agents system for reusable, versioned extraction workflows.

The company targets two overlapping customer sets: developers and AI-native companies that want a drop-in OpenAI SDK replacement for visual tasks (logos include Voxel51, Langflow, MCP.run, York IE, MongoDB, Aurochs), and regulated enterprises that need SOC 2 Type II, HIPAA, BAA, and In-VPC deployment (logos include Valerie Health, Scan.com, basata, Peak Health in healthcare; Zapier, Make, n8n, Activepieces in automation; Google Cloud as a broader ecosystem signal). Vertical solutions are pre-packaged for Healthcare (faxes, scans, clinical paperwork) and Construction (blueprints, schedules, specs).

VLM Run monetizes on a credit-based usage model (100 credits = $1 USD), structured into three tiers: a free Starter tier with 1,000 sign-up credits and 10 requests/min, a Pro tier at $799/month including 100,000 credits and 100 requests/min, and a custom-priced Enterprise tier with unlimited credits, in-VPC deployment, and dedicated SLAs. Go-to-market is product-led growth for developers and direct enterprise sales for regulated deployments, supported by native integrations with Zapier (8,000+ apps) and MongoDB Atlas. The company has 1–10 employees, is pre-seed funded (South Park Commons, 2023), and discloses no revenue or ARR.

Name

VLM Run

Legal name

Autonomi AI Inc.

Website

https://vlm.run

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

1–10 employees

Short description

VLM Run (Autonomi AI Inc.) operates an API-first visual intelligence platform whose Orion agent combines Vision-Language Models with specialized computer-vision tools to extract structured JSON from images, documents, video, and audio for developers and regulated enterprises.

Ownership category

akta.pro rank

Product category

Visual AI Platform

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industry

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• Visual intelligence platform
• Vision language models
• Document AI processing
• Multimodal AI API
• Structured data extraction

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Credit-based API usage: Consumption-based model where customers purchase credits (100 credits = $1 USD) to make API calls. Different domains charge different rates per page/image/duration segment with processing levels (lo, auto, hi) affecting credit consumption.
2. Subscription Plans: Pro plan at $799/month includes 100,000 credits plus usage-based overages. Enterprise plans offer custom invoiced billing with volume discounts and tier-based pricing.
3. Service Tier Multipliers: Flex tier (0.5x credits) for batch workloads and Priority tier (1.8x credits) for latency-sensitive workloads, applied uniformly on top of domain costs.

Pricing tiers

Go-to-market motion1 record

Distribution channels4 records

Marketing channels7 records

Core offering

VLM Run provides a unified visual intelligence platform, centered on its Orion visual agent, that processes images, video, documents, and audio into structured JSON outputs via an OpenAI-compatible REST API. The platform supports multi-step agentic visual workflows, structured outputs with Pydantic/Zod schemas, visual grounding with bounding boxes, and SOC 2 Type II / HIPAA-compliant deployment options including In-VPC installations.

Product overview

VLM Run is a unified visual intelligence platform that provides AI infrastructure for processing images, documents, video, and audio. The flagship product is Orion, a visual agent that combines Vision-Language Model reasoning with specialized computer-vision tools through a unified API. The platform includes open-source tools (vlmrun-hub for structured schemas, vlmbench for benchmarking, mm for multi-modal context), industry-specific solutions for Healthcare and Construction, and a Skills system for reusable visual extraction workflows. Orion powers the core Chat Playground interface and Agents API, while Open Source tools enable custom VLM deployment and evaluation.

Differentiator

Problem solved

Functional benefit

Products and services

• Orion Visual Agent Platform

Quantifiable outcome

• 100 credits = $1 USD conversion rate
• +1 more outcomes

Named customers15 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability13 records

Feature10 records

Partnerships

Two partnerships are on record, tiered core.

• MongoDBcoreTechnology or IntegrationVLM Run has a native integration with MongoDB for extracting structured JSON from visual content and storing it in MongoDB Atlas. The integration enables enterprises to seamlessly process and index unstructured visual data, transforming raw multi-modal information into valuable, queryable insights stored in MongoDB's document-oriented database.
• ZapiercoreChannel Partner/ Reseller/ DistributorVLM Run integration for Zapier enables connecting visual AI capabilities with over 8,000 apps. Automates visual data processing workflows including document parsing, image analysis, and content extraction into existing business processes. Pre-built templates available for Markdown Extraction and Invoice Extraction.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Rossum: Document AI for invoice and supply-chain workflows, with strong enterprise compliance certifications. Comparable to VLM Run's healthcare-adjacent and document-extraction positioning.
• Clarifai: Enterprise visual AI platform offering image, video, and text understanding via API with custom model training and an AI workflow orchestrator. Closely comparable to VLM Run's API-first, multi-modal, enterprise-focused positioning.
• Unstructured: API-first document parsing and ETL platform that extracts structured data from PDFs, images, and documents. Directly comparable to VLM Run's document intelligence and visual ETL positioning, with similar OpenAI-compatible API patterns.
• Roboflow: Developer-focused computer vision platform offering training, deployment, and inference APIs for image and video models. Directly comparable as a PLG, API-first visual AI platform targeting developers and enterprises, though it leans more toward custom model training versus VLM-based reasoning.
• Nanonets: Document AI platform extracting structured data from invoices, receipts, and forms with workflow automation. Comparable as a verticalized visual/document AI enterprise platform with usage-based pricing and SOC 2/HIPAA posture.
• Landing AI: Enterprise computer vision platform (founded by Andrew Ng) targeting manufacturing, healthcare, and other verticals with visual inspection and document AI. Directly comparable as a verticalized visual AI enterprise platform.

Broad incumbents

• Azure AI Document Intelligence: Microsoft's document AI service for forms, invoices, and custom document extraction within the Azure stack. Competes with VLM Run's document intelligence offering on enterprise procurements already standardized on Azure.
• Google Cloud Vision AI: Hyperscaler offering broad image, document (Document AI), and video AI APIs inside the Google Cloud ecosystem. Competes with VLM Run across the full multi-modal stack, with the advantage of bundled cloud consumption.
• AWS Rekognition and Textract: Hyperscaler visual AI services covering image (Rekognition) and document text extraction (Textract). Comparable at the capability layer but without the agentic/structured-reasoning wedge Orion emphasizes.

Others

• Scale AI: Data infrastructure for AI, providing labeling, evaluation, and testing services for vision and language models. Adjacent rather than directly competing — Scale is upstream of model training while VLM Run is downstream for inference and extraction.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/vlmrun
• GitHubgithub.com/vlm-run
• LinkedInlinkedin.com/company/vlm-run

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about VLM Run