# Oak vs Ultralytics

Oak records 21,112 monthly visits with +36.5% month-over-month growth and Contact for Pricing pricing. Ultralytics records 793,423 monthly visits with +8.7% growth and Freemium pricing.

| Metric | [Oak](https://openaitools.app/tool/oak) | [Ultralytics](https://openaitools.app/tool/ultralytics) |
| :--- | :--- | :--- |
| Website URL | https://www.oak.id | https://www.ultralytics.com |
| Categories | Other | AI Developer Tools, AI Image Recognition, AI Models, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 21,112 | 793,423 |
| MoM Growth Rate | +36.5% | +8.7% |
| Primary Market | Israel | China |
| Direct Visits | 9,157 | 239,747 |
| Review Score | 4.2 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Oak

Oak describes itself as an AI-native identity operating system, born complete rather than retrofitted for AI or assembled through acquisitions. Its core argument is that AI has pushed identity to the frontline of cybersecurity: identity data is fragmented across tools, reviews are rule-based and periodic, service accounts and AI agent behavior create blind spots, and teams often can see risks without being able to remediate them. Oak's answer is to own the full stack, from seeing every identity in an environment to controlling what each one can do based on intent and context.

The foundation is an Identity Intelligence Layer that acts as one live source of truth — a single data model and graph for the whole identity security stack. On top of it, Oak governs human identities, machine and service accounts, and AI agents, so autonomous agents can be inventoried with accountable owners, effective permissions, and a record of who they act for. Because Oak is positioned as "connect any," it aims to integrate with whatever environments an organization already runs and adapt as new systems are added.

For enterprises that want hands-on help, Oak offers White Gloves: a dedicated identity services team that builds, migrates, and manages identity programs end to end, including enterprise system integration, rapid deployment, and customized solutions. The company targets enterprise scale, with the Oak Promise offering implementation hours and all connectors to qualified Fortune 500 organizations.

**Pricing & Plans:** Contact for pricing. Oak does not publish public self-serve tiers; pricing is quoted to qualified organizations. The company advertises an Oak Promise (up to 500 free human hours of White Gloves work and all connectors included) available to qualified Fortune 500 enterprises.

- **Identity Intelligence Layer:** A centrally owned identity platform where every identity is discovered, seen, and governed from one live graph rather than scattered tool-specific lists.
- **Agentic identity governance:** Inventory and govern autonomous AI agents and MCP servers as identities, with owners, scoped permissions, and records of who they act for.
- **Connect-any integrations:** Connect to the identity, security, and enterprise systems you already run, aiming for one data model instead of a patchwork of acquired tools.
- **White Gloves managed services:** A dedicated services team that builds, migrates, and manages identity programs end to end, from discovery through ongoing management.
- **Context-aware, continuous governance:** Go beyond quarterly, rule-based reviews with a live source of truth that reflects what is happening across the environment now.

**Strengths:** One live identity graph as a single source of truth instead of fragmented tools; Covers human, machine, and AI agent identities in one platform; White Gloves services team handles implementation, migration, and management; Connect-any integrations aim to fit existing enterprise environments

**Limitations:** Pricing requires contacting sales rather than self-serve checkout; Designed for enterprises, so smaller teams may find the scope heavy; Value depends on connecting Oak to your existing identity and security stack; Newer category, so buyers should validate fit through a demo

[Profile (Markdown)](https://openaitools.app/tool/oak.md)

## Ultralytics

Ultralytics is best known as the maintainer of the YOLO model family, one of the most widely deployed families of real-time computer vision models. The same codebase spans seven vision tasks — detection, instance segmentation, pose estimation, oriented bounding boxes, classification, tracking, and more — so teams can move from a quick prototype to production inference without switching frameworks. Models export to a long list of runtimes including ONNX, TensorRT, CoreML, and other formats for edge and embedded targets.

Beyond the models, Ultralytics offers a hosted Platform that handles the operational side of vision projects. You can label datasets with SAM-powered assisted annotation, fine-tune or train models on cloud GPUs (including AutoTrain), and deploy to managed regions that scale to zero when idle. An agent-style workflow builder lets teams chain models, logic, and alerting into pipelines, which suits industrial inspection, safety monitoring, and analytics products.

Licensing is dual-track. The open-source path is released under AGPL-3.0, which is fine for open projects but imposes copyleft obligations on closed-source products. Companies shipping YOLO inside proprietary software typically purchase an enterprise license instead, which removes those obligations and adds on-premise or private-cloud deployment, broad export format support, and direct engineering support. Ultralytics also publishes extensive documentation and tutorials, which is a large part of why the ecosystem is so widely adopted by students, researchers, and commercial integrators alike.

**Pricing & Plans:** Freemium. The YOLO models and tooling are available open source under AGPL-3.0 at no cost; the Ultralytics Platform offers free and paid cloud tiers, and commercial use inside closed-source products requires a paid enterprise license with custom support terms.

- **YOLO real-time vision models:** One model family covering detection, instance segmentation, pose estimation, oriented boxes, classification, and tracking, tuned for real-time inference on GPU, CPU, and edge devices.
- **Ultralytics Platform for the full lifecycle:** Label data with SAM-assisted annotation, train on cloud GPUs with AutoTrain, and deploy to managed regions that scale to zero when idle.
- **Broad export and runtime support:** Ship trained models to ONNX, TensorRT, CoreML, TFLite, and many other formats for cloud servers, mobile devices, and embedded hardware.
- **Dual licensing for open and commercial use:** Adopt the open-source AGPL-3.0 release, or purchase an enterprise license to embed YOLO in closed-source products without copyleft obligations.
- **Workflow and agent builder:** Chain vision models, business logic, and Slack-style alerts into automated pipelines for monitoring, inspection, and analytics.

**Strengths:** Mature, heavily documented model family with millions of daily inference usages and a large open-source community; Covers the whole lifecycle — annotation, training, deployment — so teams avoid stitching together separate vendors; Wide export format support makes it practical to target cloud, mobile, and embedded hardware from one codebase; Enterprise licensing removes AGPL obligations for closed-source commercial products

**Limitations:** AGPL-3.0 on the open-source release is a blocker for many commercial closed-source deployments without a paid license; Achieving top accuracy still requires careful dataset curation and hyperparameter tuning rather than one-click results; Heavy dependence on the hosted Platform for managed features can create lock-in for teams that later want to self-host

[Profile (Markdown)](https://openaitools.app/tool/ultralytics.md)

## Frequently Asked Questions

### How do Oak and Ultralytics compare in monthly traffic?

Oak has 21,112 monthly visits, while Ultralytics has 793,423. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Oak has a month-over-month growth rate of +36.5%; Ultralytics has +8.7%.

### How does pricing compare?

Oak: Contact for Pricing. Contact for pricing. Oak does not publish public self-serve tiers; pricing is quoted to qualified organizations. The company advertises an Oak Promise (up to 500 free human hours of White Gloves work and all connectors included) available to qualified Fortune 500 enterprises. Ultralytics: Freemium. Freemium. The YOLO models and tooling are available open source under AGPL-3.0 at no cost; the Ultralytics Platform offers free and paid cloud tiers, and commercial use inside closed-source products requires a paid enterprise license with custom support terms.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Duck.ai](https://openaitools.app/tool/duck-ai) | 26,431,539 | +10.7% | Free | Private AI chat from the makers of DuckDuckGo | [.md](https://openaitools.app/tool/duck-ai.md) |
| 2 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Provides an all-in-one ecosystem for dataset annotation, model training, and edge deployment. | [.md](https://openaitools.app/tool/roboflow.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Enterprise-grade labeling and data curation platform for complex computer vision training pipelines. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Provides advanced multimodal dataset curation and annotation tools specifically for computer vision teams. | [.md](https://openaitools.app/tool/encord-com.md) |
| 5 | [Frigate NVR](https://openaitools.app/tool/frigate-nvr) | 216,701 | -21.2% | Freemium | Open-source self-hosted NVR optimized for running real-time local object detection on security feeds. | [.md](https://openaitools.app/tool/frigate-nvr.md) |
| 6 | [Dex — Personal CRM & LinkedIn Assistant](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex) | 156,354 | +1.6% | Paid | The personal CRM that keeps your network warm — with your LinkedIn graph baked in | [.md](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex.md) |
| 7 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Enterprise AI training data, annotation and evaluation services | [.md](https://openaitools.app/tool/definedcrowd-com.md) |
| 8 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Open-source labeling tool with extensible support for custom computer vision annotation tasks. | [.md](https://openaitools.app/tool/label-studio.md) |
| 9 | [Voxel51](https://openaitools.app/tool/voxel51-com) | 117,715 | -8.2% | Contact for Pricing | Specializes in dataset curation, visualization, and quality evaluation for computer vision workflows. | [.md](https://openaitools.app/tool/voxel51-com.md) |
| 10 | [Viso Now](https://openaitools.app/tool/viso-now) | 111,150 | -3% | Freemium, Contact for Pricing | Focuses on prompt-based rapid assembly of end-to-end enterprise computer vision applications. | [.md](https://openaitools.app/tool/viso-now.md) |

---
Source: https://openaitools.app/compare/oak-vs-ultralytics

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
