Ultralytics
Ultralytics builds the open-source YOLO family of real-time computer vision models and the Ultralytics Platform SaaS for annotation, training, and deployment. The company serves developers and enterprises across robotics, manufacturing, retail, logistics, healthcare, automotive, and agriculture.
- Company typePrivate
- Founded2022
- HeadquartersLos Angeles, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Ultralytics does
Ultralytics builds and maintains the YOLO family of real-time computer vision models — YOLOv5, YOLOv8, YOLO11, and the latest YOLO26 — and commercializes them through the Ultralytics Platform, a managed SaaS that unifies dataset annotation, model training, and deployment. The core stack is Python-based with PyTorch training and supports export to 19 runtime formats (ONNX, NVIDIA TensorRT, Apple CoreML, Intel OpenVINO, TensorFlow Lite, Baidu PaddlePaddle, Tencent NCNN, Alibaba MNN, Sony IMX500, Rockchip RKNN, Axelera AI, DeepX, Qualcomm, TorchScript, and others) and deployment across 43 global cloud regions as well as edge devices including NVIDIA Jetson and Raspberry Pi. YOLO26 introduces NMS-free end-to-end inference, the MuSGD hybrid optimizer, and ProgLoss+STAL small-object accuracy improvements, while YOLOE-26 extends the family with open-world detection that accepts text or visual prompts at inference.
The company runs an open-core business model. The YOLO models are distributed under AGPL-3.0, generating a developer funnel measured in millions of downloads and 131.6k GitHub stars; commercial users that cannot meet AGPL obligations convert to a paid annual Enterprise License. The Ultralytics Platform layers on tiered SaaS subscriptions (free plus paid tiers with priority support and custom SLAs) and metered cloud GPU training (e.g., H100 PCIe displayed at $2.89/hr) across 22 GPU configurations. Optional consulting, custom model training on a 1M+ image library, and paid SLAs provide additional revenue streams. Operations are conducted through the Delaware parent Ultralytics Inc. (Frederick, MD) with wholly-owned affiliates Ultralytics Ltd (UK) and Ultralytics AI Spain, S.L., plus a Shenzhen presence.
Ultralytics firmographics
Firmographics- Name
- Ultralytics
- Legal name
- Ultralytics Inc.
- Website
- https://ultralytics.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Ultralytics builds the open-source YOLO family of real-time computer vision models and the Ultralytics Platform SaaS for annotation, training, and deployment. The company serves developers and enterprises across robotics, manufacturing, retail, logistics, healthcare, automotive, and agriculture.
- Ownership category
- akta.pro rank
Ultralytics industry classification
Industry- Product category
- Computer Vision AI Platform
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Low-Code/No-Code Application Platforms (HDAEAKAA)
- akta.pro secondary industries
- Model Deployment, Serving & Inference Platforms (HDAAABAF), Experiment Tracking, Metadata & Model Registry (HDAAABAC), Fine-Tuning, Adaptation & Custom Model Training (PEFT/LoRA/RLHF) (HDAAACAC)
Keywords
Where Ultralytics is headquartered
LocationHeadquarters
- HQ city
- Los Angeles
- HQ country
- United States
- HQ region
- North America
Markets served
Ultralytics business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Ultralytics YOLO Enterprise License: Annual fee Enterprise Software License that grants organization-wide commercial rights to use the complete YOLO source code portfolio (YOLOv5, YOLOv8, YOLO11, YOLO26 and future YOLO models) plus proprietary models, support, and updates. The Annual Fee is redetermined 60 days before each renewal; the agreement auto-renews in 1-year terms unless 45 days' written notice is given. Payments processed via Stripe.
- Ultralytics Platform subscriptions: Tiered SaaS platform offering annotation, training, deployment, and monitoring of vision AI workflows. A free tier is available; paid plans (Enterprise) add priority support, higher usage limits, and custom SLAs. Cloud GPU training is metered (e.g., H100 PCIe at $2.89/hr displayed in product UI).
- Consulting and custom model services: Optional consulting services and access to custom models trained on over one million images, provided at standard time-and-materials rates under separate agreement.
- Service Level Agreements (SLA): Optional paid SLA add-on to Enterprise Licenses, scope and fees defined in a separate agreement.
- Open-source AGPL-3.0 distribution (monetization via conversion): YOLO models are distributed under AGPL-3.0 for open-source use; commercial users that cannot comply with AGPL are converted to paid Enterprise Licenses. This is the bottom-of-funnel monetization path for the open-source developer base.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Platform plan |
| Subscription | Annual | Enterprise / paid Platform plans |
| One time/ perpetual license | Annual | Enterprise Software License (YOLO commercial use) |
| Usage-based | Pay-as-you-go | Cloud GPU training usage |
| Other | Pay-as-you-go | Open-source AGPL-3.0 (YOLO) |
Go-to-market motion4 records
Ultralytics product offering
Product offeringCore offering
Ultralytics builds and maintains the YOLO family of real-time computer vision models (YOLOv5, YOLOv8, YOLO11, YOLO26) and operates the Ultralytics Platform, a unified cloud-based SaaS that handles dataset annotation, model training on 22 GPU configurations, and deployment across 43 global regions and 19 export formats (ONNX, TensorRT, CoreML, OpenVINO, TF Lite, etc.) for edge, mobile, and embedded devices. Commercial customers obtain an Enterprise License to use the YOLO source code without AGPL-3.0 obligations.
Product overview
Ultralytics operates a platform-plus-models architecture. Its core commercial offering is the Ultralytics Platform, a unified cloud-based SaaS for annotation, training, and deployment of vision AI models, which is paired with the open-source Ultralytics YOLO model family (YOLOv5, YOLOv8, YOLO11, and the latest YOLO26). The YOLO models are the engine that the Platform trains and serves, while YOLOE-26 is an add-on open-world detection model that extends the family with text- and visual-prompted recognition. Together, the YOLO models + YOLOE-26 form the modeling layer, and the Ultralytics Platform is the managed workflow layer that exports them to 14+ deployment targets (ONNX, NVIDIA TensorRT, Apple CoreML, Intel OpenVINO, TensorFlow Lite, PyTorch TorchScript, Baidu PaddlePaddle, Tencent NCNN, Alibaba MNN, Sony IMX500, Rockchip RKNN, Axelera AI, DeepX, Qualcomm).
Differentiator
Problem solved
Functional benefit
Brands
- Ultralytics Platform: Commercial, no-code/low-code platform for training, deploying, and managing Ultralytics YOLO computer-vision models across edge, mobile, and cloud environments.
- Ultralytics YOLO26
- Ultralytics YOLO11
- Ultralytics YOLOv8
- Ultralytics YOLOv5
Products and services
- Ultralytics Platform
- Ultralytics YOLO Models (YOLOv5, YOLOv8, YOLO11, YOLO26)
- YOLOE-26 (Open-World Detection)
- Ultralytics YOLO Enterprise License
- Ultralytics Consulting & Custom Model Services
Companies that use Ultralytics
Customer profileIdeal customer profiles2 records
Ultralytics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration16 records
AI capability9 records
Feature10 records
Ultralytics partnerships and signals
Strategic signalRecent moves6 records
Expansion highlights7 records
Ultralytics competitors and assessment
Company assessmentDirect peers
- SuperAnnotate: SuperAnnotate provides an annotation platform and model training tooling for computer vision, including bounding boxes, polygons, and segmentation tasks. It is a direct competitor to Ultralytics' annotation and training surface area for enterprise ML teams.
- Roboflow: Roboflow offers an end-to-end computer vision platform for dataset management, annotation, model training, and deployment — directly overlapping Ultralytics' Platform offering. Both compete for the same developer-first, open-core vision AI funnel, and both monetize via tiered SaaS plus enterprise plans.
- Encord: Encord is a data-centric AI platform focused on annotation, curation, and evaluation for vision and multimodal models. It competes head-on with the Ultralytics Platform's annotation and dataset-management capabilities for ML teams building production vision pipelines.
- Landing AI: Landing AI, founded by Andrew Ng, provides an enterprise vision AI platform (LandingLens) plus domain-specific industrial inspection tools. It targets the same manufacturing, industrial, and enterprise vision AI use cases as Ultralytics' YOLO deployment story.
- V7 (V7 Labs): V7 provides an annotation, training, and deployment platform for vision AI, including labeling tools and model management aimed at enterprise users. It targets the same workflow layer that Ultralytics Platform competes in, particularly for regulated industries like healthcare and manufacturing.
Broad incumbents
- Scale AI: Scale provides data labeling, evaluation, and fine-tuning services plus ML infrastructure for AI builders. While not focused exclusively on vision, Scale competes for the same enterprise annotation/training budgets that fund tools like Ultralytics Platform.
- Clarifai: Clarifai is a long-standing computer vision and AI platform offering training, inference, and workflow tools across image, video, and text. It is a broader incumbent in the same vision AI platform category that Ultralytics Platform competes in.
- Hugging Face: Hugging Face hosts a wide catalog of open-source vision models (including community YOLO ports) and provides training and deployment infrastructure via Spaces and Inference Endpoints. It is a broader incumbent platform that competes for the same developer and enterprise vision AI workflows.
Others
- OpenCV: OpenCV is the foundational open-source computer vision library used alongside YOLO for image processing, camera pipelines, and deployment. While it does not directly monetize models, it is part of the same open-source vision AI ecosystem and an enabling dependency for many Ultralytics deployments.
- Meta AI (segment anything / DINO): Meta releases the Segment Anything Model (SAM) and the DINO/DINOv2 family of vision foundation models under permissive open-source licenses. These compete with Ultralytics' YOLOE-26 open-world detection and are a structural threat to Ultralytics' mindshare in open-source vision AI.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Ultralytics social profiles
Digital presenceUltralytics compliance and trust
Trust signalCompliance3 records
Ultralytics financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ultralytics leadership team
Management profileNumber of profiles
Profiles2 records
Ultralytics subsidiaries and ownership
Company hierarchySubsidiaries2 records
Ultralytics funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ultralytics M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ultralytics
What does Ultralytics do?
Ultralytics builds and maintains the YOLO family of real-time computer vision models (YOLOv5, YOLOv8, YOLO11, YOLO26) and operates the Ultralytics Platform, a unified cloud-based SaaS that handles dataset annotation, model training on 22 GPU configurations, and deployment across 43 global regions and 19 export formats (ONNX, TensorRT, CoreML, OpenVINO, TF Lite, etc.) for edge, mobile, and embedded devices. Commercial customers obtain an Enterprise License to use the YOLO source code without AGPL-3.0 obligations.
Is Ultralytics a public or private company?
Ultralytics is a private company. It is classified as venture growth investor backed and is currently operating.
When was Ultralytics founded?
Ultralytics was founded in 2022. It employs 51 to 100 people.
Where is Ultralytics based?
Ultralytics is headquartered in Los Angeles, United States, in the North America region.
How does Ultralytics make money?
Five revenue lines are on record. Ultralytics YOLO Enterprise License is the primary driver. The others are ultralytics Platform subscriptions, consulting and custom model services, service Level Agreements (SLA) and open-source AGPL-3.0 distribution (monetization via conversion).
Who are Ultralytics's main competitors?
Direct peers on record are SuperAnnotate, Roboflow, Encord, Landing AI and V7 (V7 Labs). Broad incumbents are Scale AI, Clarifai and Hugging Face. Others are OpenCV and Meta AI (segment anything / DINO).
Does Ultralytics have an API?
Yes. The Ultralytics Platform exposes programmatic access via a Python SDK (e.g., 'from ultralytics import ...') that authenticates with an API key. Developers can use it to programmatically train models, export to deployment formats, and integrate Ultralytics YOLO models into their pipelines. Documentation is hosted at docs.ultralytics.com. Developer documentation is at docs.ultralytics.com.
What industry is Ultralytics in?
Ultralytics's product category is Computer Vision AI Platform. Its primary akta.pro industry code is HDAEAKAA, Low-Code/No-Code Application Platforms, with a secondary code of HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 5132 and its SIC code is 7372.