What Roboflow does

Roboflow is a computer vision infrastructure company that provides an end-to-end platform for building, training, deploying, and managing vision AI models. The platform is organized into five integrated modules: Annotate (AI-assisted data labeling), Train (hosted GPU model training with Neural Architecture Search), Workflows (low-code pipeline builder), Deploy (cloud, edge, VPC, and on-device inference), and Universe (a public repository of datasets and pre-trained models). Supporting the platform is an open source ecosystem including Inference, Supervision, Notebooks, Trackers, and Autodistill, plus proprietary assets such as the RF-DETR object detection model and the RF100-VL vision-language benchmark dataset. The platform supports image, video, structured data, text (OCR/captioning), and multimodal inputs, and integrates with hyperscalers (AWS, GCP, Azure), NVIDIA edge hardware, industrial camera vendors, and major ML frameworks (PyTorch, TensorFlow, Hugging Face).

The company serves a dual market: a long tail of individual developers and SMBs via a self-serve, product-led growth motion anchored by a free Public tier, and large enterprises (claimed to include over half of the Fortune 100) via direct field sales with HIPAA, SOC 2 Type 2, GDPR, and CCPA compliance. Named enterprise customers span BNSF Railway (logistics), USG (industrial manufacturing), Fletcher Sports (media/broadcast), Pella, Rivian, GE Vernova, Cummins, Chobani, and Peer Robotics across verticals including logistics, manufacturing, energy, food & beverage, automotive, media, and robotics. The revenue model is hybrid: tiered SaaS subscriptions (Starter, Growth, Core, Enterprise), usage-based API inference, and professional services scoped in enterprise Order Forms.

Founded circa 2021 and headquartered in Des Moines, Iowa (Delaware-incorporated), Roboflow has raised $60 million in disclosed venture funding across a $20 million Series A (September 2021, Craft Ventures) and a $40 million Series B (November 2024, GV/Google Ventures). As of late 2024 the company reported over 1 million developers and 16,000–25,000+ organizations on the platform. The company is private, has no parent entity, and has not announced an IPO or acquisition activity.

Name

Roboflow

Legal name

Roboflow, Inc.

Website

https://roboflow.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

11–50 employees

Short description

Roboflow provides an end-to-end computer vision infrastructure platform with annotation, training, workflow, and deployment modules plus open source tooling, serving over 1 million developers and more than half of the Fortune 100 across logistics, manufacturing, energy, and other industrial verticals.

Ownership category

akta.pro rank

Product category

Computer Vision Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB)

akta.pro secondary industry

Platform Engineering & Internal Developer Platforms (IDP) (BPAEAKAC)

Keywords

• Computer vision platform
• Image annotation tools
• Vision AI deployment
• Model training infrastructure
• Object detection models

Headquarters

HQ city

Remote

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. SaaS Platform Subscriptions: Tiered subscription model with Public (free), Starter, Growth, Core, and Enterprise plans. Paid tiers provide additional features, storage, compute, and team collaboration capabilities. Revenue generated through recurring subscription fees billed monthly or annually.
2. Usage-based API Inference: Platform offers usage-based inference capabilities where customers pay based on API calls and compute consumption. Supports pay-as-you-go model for variable workloads.
3. Enterprise Professional Services: Enterprise contracts include implementation services, dedicated support, and custom development. Professional services are scoped in Order Forms alongside software subscriptions.
4. Freemium Access: Public tier provides free access to core platform features for individual developers and non-commercial use, enabling developer adoption and conversion to paid tiers.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels9 records

Core offering

Roboflow provides an end-to-end computer vision infrastructure platform that enables developers and enterprises to build, train, deploy, and manage vision AI models. The platform spans AI-assisted annotation, hosted GPU training, low-code workflow orchestration, and deployment across cloud, edge, and on-premises infrastructure. It is complemented by a large open source ecosystem (Inference, Supervision, Autodistill, Notebooks, Trackers) and over 200 pre-trained models including the proprietary RF-DETR object detection model.

Product overview

Roboflow is a computer vision infrastructure company offering a unified platform plus open source ecosystem. The core platform consists of five integrated modules: Annotate (AI-assisted labeling), Train (hosted GPU training with Neural Architecture Search), Workflows (low-code pipeline builder), Deploy (cloud/edge/VPC API deployment), and Universe (public datasets and models). Supporting this is a suite of open source tools including Inference (production inference server), Supervision (CV utilities), Notebooks (tutorials), Trackers (multi-object tracking), and Autodistill (automated labeling). Roboflow also provides 200+ pre-trained models including proprietary RF-DETR, SAM 3, YOLO variants, and multimodal models. The platform serves over 16,000 organizations including Fortune 100 companies, deploying vision AI across industries from automotive and healthcare to logistics and sports broadcasting.

Differentiator

Problem solved

Functional benefit

Brands

• Roboflow Inference: An open-source, production-ready inference server for computer vision supporting deployment of popular model architectures and fine-tuned models.
• Roboflow Supervision
• Roboflow Notebooks
• Autodistill
• Roboflow 100
• Roboflow Universe

Products and services

• Roboflow Annotate AI-assisted image annotation tool for fast labeling with AI-powered suggestions, supporting bounding boxes, polygons, keypoints, and semantic segmentation with team collaboration features. Used by developers and enterprise teams preparing vision AI datasets.
• Roboflow Train Hosted model training infrastructure with GPU access for custom vision model development, including Neural Architecture Search and Roboflow Instant for rapid training. Used by developers and enterprises training custom vision models on their datasets.
• Roboflow Workflows Low-code visual interface for building computer vision pipelines and applications by chaining multiple models, adding custom logic, and integrating with existing pipelines. Includes pre-built templates and AI assistant. Used by developers and enterprises orchestrating complex vision AI workflows.
• Roboflow Deploy Model deployment solution supporting cloud API, edge devices, on-premises VPC, and device fleet management, including Serverless Hosted API V2, dedicated deployments, and self-hosted options with active learning and model monitoring. Used by enterprises deploying vision AI to production environments.
• Roboflow Universe Public repository of open source computer vision datasets and pre-trained models, enabling discovery, forking, and downloading of public datasets and models for rapid prototyping. Used by developers to bootstrap vision AI projects with pre-existing data and models.
• Roboflow Inference (Open Source) Open source, production-ready inference server for computer vision model deployment, supporting many popular model architectures and fine-tuned models with high performance. Used by developers running models locally, on edge devices, in VPC, or via API.
• Roboflow Supervision (Open Source) Open source Python library providing utilities for integrating computer vision into applications, covering functions from annotation to object tracking, including detection visualization and video processing. Used by developers integrating vision capabilities into their applications.
• Roboflow Notebooks (Open Source) Open source Jupyter Notebooks demonstrating how to train and work with state-of-the-art computer vision models, serving as an educational resource for learning computer vision techniques. Used by developers and researchers.
• Roboflow Trackers (Open Source) Modular multi-object tracking algorithms under Apache 2.0 license, built to pair with any detection model for tracking objects across video frames. Used by developers building video-based vision applications.
• Autodistill (Open Source) Open source framework using large foundation models to automatically label data for training small, fast, supervised models, enabling efficient dataset creation with minimal manual labeling. Used by developers reducing annotation effort.
• RF-DETR Roboflow's proprietary state-of-the-art object detection model using DINOv2 pretrained encoder with multiscale DETR architecture, achieving SOTA performance on object detection benchmarks. Used by developers and enterprises needing high-accuracy object detection.
• Roboflow Enterprise Tier Enterprise tier providing dedicated deployments, HIPAA compliance, SSO, audit logs, SLA guarantees, and premium support for large organizations with mission-critical vision AI applications.

Quantifiable outcome

• 74 years of cumulative time savings across community using Segment Anything models
• +1 more outcomes

Named customers9 records

Segments11 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration38 records

AI capability9 records

Feature8 records

Partnerships

Ten partnerships are on record, tiered flagship, core and supporting.

• MicrosoftflagshipStrategic or Co-development Partner · 18 November 2025Roboflow is an early partner for Microsoft's Windows Agentic OS initiative, announced at Microsoft Ignite 2025. Roboflow integrates with Microsoft's Agent Connectors featuring native Model Context Protocol support, enabling autonomous AI agents to utilize Roboflow's vision AI capabilities across Microsoft's estimated 1.4 billion Windows devices.
• AWS (Amazon Web Services)coreTechnology or IntegrationAWS Partner with ML Software competency and Qualified Software designation. Roboflow is available on AWS Marketplace for seamless enterprise procurement. Integration includes S3 storage connectivity and EC2 deployment options.
• Google CloudcoreTechnology or IntegrationRoboflow is available on Google Cloud Marketplace. Platform integrates with Google Cloud Vision AI services and GCP Compute Engine for model deployment.
• Microsoft AzurecoreTechnology or IntegrationRoboflow is available on Azure Marketplace. Platform provides native integration with Azure Virtual Machines for model deployment.
• NVIDIAcoreTechnology or IntegrationNVIDIA partnership includes GPU-optimized deployment options, integration with NVIDIA Jetson edge devices, and DGX Spark compatibility. Roboflow featured in NVIDIA's AI ecosystem announcements.
• Meta (Facebook)coreTechnology or IntegrationMeta partnership includes integration with Segment Anything Model (SAM), SAM 2, and SAM 3. Roboflow community has benefited from Meta's SAM models, with estimated 74 years of time savings reported. Meta's Segment Anything Playground features Roboflow integration.
• UltralyticscoreTechnology or IntegrationUltralytics provides YOLO model architecture (YOLOv5, YOLOv8, YOLO11) that is integrated with Roboflow platform for training and deployment.
• PyTorchcoreTechnology or IntegrationPyTorch is the primary deep learning framework underlying Roboflow's training infrastructure and model support.
• Hugging FacecoreTechnology or IntegrationHugging Face integration provides access to transformer-based vision models and facilitates model sharing within the AI community ecosystem.
• Camera Vendors (Axis, Reolink, Unifi, FLIR, Basler, Lucid Vision, Luxonis, Verkada, Pelco)supportingTechnology or IntegrationExtensive ecosystem of camera vendor integrations enables direct deployment of Roboflow models to industrial cameras, IP cameras, and embedded vision systems for edge deployment use cases.

Scale indicators7 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Scale AI: Scale AI is a leading data labeling and AI infrastructure platform that directly competes with Roboflow in vision data annotation and model evaluation. Both serve enterprise and government customers with end-to-end annotation, training, and deployment workflows.
• Labelbox: Labelbox is a data labeling and annotation platform that competes with Roboflow's Annotate and Train modules. Both target enterprise ML teams with collaborative labeling workflows, model-assisted annotation, and integration with major ML frameworks.
• SuperAnnotate: SuperAnnotate is a computer vision annotation platform directly comparable to Roboflow's annotation and dataset management capabilities. Both are evaluated alongside each other in G2 buyer guides for data labeling platforms.
• V7 Labs: V7 provides an AI-powered annotation and training platform for computer vision, competing with Roboflow on labeling speed, model-assisted annotation, and enterprise CV workflows. Both target similar manufacturing, life sciences, and insurance verticals.
• Encord: Encord is a data-centric AI platform for vision and multimodal data labeling, curation, and evaluation. It competes directly with Roboflow's Annotate, Train, and dataset health-check capabilities for ML teams building production computer vision.
• Landing AI: Founded by Andrew Ng, Landing AI provides computer vision tools with a strong manufacturing focus, similar to Roboflow's industrial inspection and quality control positioning. Both target enterprise manufacturers with visual inspection use cases.

Broad incumbents

• Amazon Web Services (Rekognition / SageMaker): AWS offers Rekognition for pre-built vision APIs and SageMaker for custom model training, overlapping with Roboflow's inference and training capabilities. AWS is both a partner (marketplace) and a broad incumbent competitor with deeper enterprise reach.
• Google Cloud Vision AI: Google Cloud Vision AI and Vertex AI provide managed vision services and AutoML that overlap with Roboflow's training and inference offerings. Roboflow is a partner on Google Cloud Marketplace while competing against Vertex's vision stack.
• Microsoft Azure AI Vision: Azure AI Vision and Azure Machine Learning compete with Roboflow in custom vision training and inference while serving as a distribution partner. Microsoft's broader AI platform poses both opportunity (via Agentic OS partnership) and competitive threat.

Emerging players

• Hugging Face: Hugging Face hosts vision models, datasets, and training infrastructure with strong developer mindshare. It intersects with Roboflow's Universe repository and inference offerings as an open source ML platform for computer vision practitioners.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/roboflow
• Xx.com/roboflowAI
• LinkedInlinkedin.com/company/roboflow

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds6 records

Investors7 records

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 Roboflow