# Labelbox vs Hyper3D Rodin

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Hyper3D Rodin records 10,751,371 monthly visits with +11.2% growth and Freemium, Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [Hyper3D Rodin](https://openaitools.app/tool/rodin) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://hyper3d.ai |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | AI 3D Model Generator, Text to 3D, AI Image Generator, AI API |
| Pricing Model | Contact for Pricing | Freemium, Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 762,803 | 10,751,371 |
| MoM Growth Rate | -22.8% | +11.2% |
| Primary Market | United States | India |
| Direct Visits | 370,024 | 5,493,129 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Hyper3D Rodin

Hyper3D Rodin is a generative-AI platform focused on 3D asset creation. Its core engine, Rodin, produces 3D models from a text prompt or as little as one reference image, adding optional extra views for finer control. Generation modes include Image to 3D, Text to 3D, Text to Image/3D Remix, Turbo generation and 3D editing, with configurable thinking effort that trades wait time for detail — from roughly four seconds at the lowest setting up to around eighty seconds at the highest.

Beyond raw mesh generation, Rodin ships a broad toolkit: 3D ControlNet guidance through bounding boxes, voxels and point clouds, partial edit of selected regions, smart low-poly optimization, an AI texture generator, HDRI/environment map creation via OmniCraft, an AI avatar generator with PBR materials and facial controls, a mesh editor, format converter and 3D model search. WorldGen turns images into editable 3D scenes with independent objects.

The platform is built for real production pipelines. Plug-ins cover Blender, Unity, Unreal, Godot, Maya, 3ds Max and ComfyUI, exports support common formats such as OBJ, FBX and GLB, and a documented API plus MCP integration let teams automate generation inside their own apps and agent workflows. A free 7-day trial and tiered paid subscription are offered; exact credit prices are best confirmed on the official pricing page.

**Pricing & Plans:** Freemium with a free 7-day trial and paid subscription tiers; API access and add-ons are available, with enterprise/contact-for-pricing options. Check the official pricing page for current credit and plan costs.

- **Image to 3D:** Upload a single image — sketch, product photo or illustration — and Rodin generates a detailed 3D model, with optional additional views for extra accuracy.
- **Text to 3D:** Describe an object in words and receive a high-quality 3D asset in seconds, no 3D modelling experience required.
- **3D ControlNet and partial editing:** Guide geometry with bounding boxes, voxel grids and point clouds, then refine selected regions of an existing asset without rebuilding the whole model.
- **Texture, HDRI and avatar generation:** Generate stylized textures from any image, create HDR environment maps with OmniCraft, and build 3D avatar packages with PBR materials and facial controls.
- **API, MCP and pipeline plug-ins:** Automate text-to-3D and image-to-3D generation through a documented API or MCP, and work inside Blender, Unity, Unreal, Godot, Maya, 3ds Max or ComfyUI.

**Strengths:** Strong text-to-3D and image-to-3D quality with controllable generation effort levels; Spatial controls (bounding box, voxel, point cloud) and partial edit give precision beyond a single prompt; Broad ecosystem: plug-ins for Blender, Unity, Unreal, Godot, Maya, 3ds Max, ComfyUI; Companion tools for texture, HDRI, avatars, images and video in one account

**Limitations:** Credit-based generation can get expensive on high-effort, high-volume jobs; Top quality still benefits from manual clean-up before final production use; Feature breadth across many tools means a learning curve for newcomers; Exact pricing and credit allowances require checking the official pricing page

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

## Frequently Asked Questions

### How do Labelbox and Hyper3D Rodin compare in monthly traffic?

Labelbox has 762,803 monthly visits, while Hyper3D Rodin has 10,751,371. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; Hyper3D Rodin has +11.2%.

### How does pricing compare?

Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases. Hyper3D Rodin: Freemium, Free Trial, Paid, Contact for Pricing. Freemium with a free 7-day trial and paid subscription tiers; API access and add-ons are available, with enterprise/contact-for-pricing options. Check the official pricing page for current credit and plan costs.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Tripo AI](https://openaitools.app/tool/tripo-ai) | 25,209,679 | +73.2% | Freemium | Generates 3D models from text and images quickly, but offers different export and rigging options than Rodin. | [.md](https://openaitools.app/tool/tripo-ai.md) |
| 2 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 3 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [Spline](https://openaitools.app/tool/spline) | 588,316 | -6.1% | Freemium | Provides web-based 3D design and modeling tools with AI features, emphasizing manual editing over pure generation. | [.md](https://openaitools.app/tool/spline.md) |
| 6 | [Neural4D](https://openaitools.app/tool/neural4d) | 444,081 | +27.1% | Freemium | Converts text and media into 3D models and PBR textures, but with distinct workflow and rendering tools. | [.md](https://openaitools.app/tool/neural4d.md) |
| 7 | [Sloyd](https://openaitools.app/tool/sloyd) | 427,573 | -5.8% | Freemium | Generates real-time customizable 3D models from text, optimized for game developers rather than organic sculpting. | [.md](https://openaitools.app/tool/sloyd.md) |
| 8 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 9 | [Customuse](https://openaitools.app/tool/customuse-com) | 379,276 | -3.5% | Free, Paid, Enterprise | Browser-based 3D creation platform geared towards creating game assets and interactive objects from text prompts. | [.md](https://openaitools.app/tool/customuse-com.md) |
| 10 | [Ludo AI](https://openaitools.app/tool/ludo-ai) | 335,411 | +0.6% | Freemium, Free Trial | Caters specifically to game developers, generating 3D models alongside 2D sprites, audio, and game concepts. | [.md](https://openaitools.app/tool/ludo-ai.md) |

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Source: https://openaitools.app/compare/labelbox-vs-rodin

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