# BasicAI Cloud vs Graviti

BasicAI Cloud records 21,670 monthly visits with -13.1% month-over-month growth and Freemium, Enterprise Quote pricing. Graviti records 755 monthly visits with -82.8% growth and Freemium pricing.

| Metric | [BasicAI Cloud](https://openaitools.app/tool/basicai-cloud) | [Graviti](https://openaitools.app/tool/graviti-com) |
| :--- | :--- | :--- |
| Website URL | https://www.basic.ai | https://graviti.com |
| Categories | AI Developer Tools, Large Language Models (LLMs), AI Models, Open Source AI Models | AI Developer Tools, AI Workflow, AI For Data Analytics, AI Productivity Tools |
| Pricing Model | Freemium, Enterprise Quote | Freemium |
| Monthly Visits | 21,670 | 755 |
| MoM Growth Rate | -13.1% | -82.8% |
| Primary Market | United States | India |
| Direct Visits | 8,706 | 290 |
| Review Score | 4.2 | 3.8 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## BasicAI Cloud

BasicAI (also known as BasicAI Cloud) provides AI training data infrastructure for machine learning teams. The offering has two halves: a smart, all-in-one data annotation platform, and well-managed labeling services delivered by human teams. The platform supports the full spectrum of annotation tasks, including image and video annotation, 3D LiDAR point cloud, sensor fusion, audio tagging, NLP and RLHF/SFT dataset creation for large language models and generative AI.

On the platform side, BasicAI emphasises AI-assisted automation that speeds up labeling of images, point clouds and audio, a scalable workflow with customizable project management, and a built-in smart quality check that combines real-time feedback with customizable batch QA rules. For teams that need tighter control over sensitive data, the platform can be privately deployed inside the customer's own environment.

On the services side, BasicAI runs managed annotation projects through specialist teams with industry knowledge rather than crowdsourcing, and reports 7+ years in the data labeling industry, 300K+ datasets built with BasicAI, 160+ selected global annotation teams and 99%+ quality assurance. Common industries served include automotive/ADAS, agriculture, construction, logistics, manufacturing, robotics, smart city and sports. Pricing for services and private deployments is quoted per project, and the company offers a free pilot dataset and project estimates.

**Pricing & Plans:** Freemium — the annotation platform has a free tier. Managed labeling services, enterprise plans and private deployment are priced per project via a quote; a free pilot dataset and platform demo are offered.

- **All-in-one annotation toolset:** Bounding boxes, polygons, keypoints, semantic segmentation, 3D point cloud cuboids, text/NLP tagging and RLHF dataset creation in one platform.
- **AI-assisted auto-annotation:** Automated labeling assistance across images, point clouds and audio reduces manual effort while maintaining accuracy standards.
- **Scalable collaborative workflow:** Project management adapts to your team structure with customizable workflows, progress tracking and detailed performance reporting.
- **Smart quality check:** Real-time feedback plus customizable batch QA rules catch issues early and enable targeted human review.
- **Managed labeling services:** 160+ specialist global annotation teams, 99%+ quality assurance, dedicated project managers and a free pilot dataset.

**Strengths:** Covers an unusually wide range of annotation types, including best-in-class 3D LiDAR point cloud tools; AI-assisted auto-annotation speeds up manual labeling; Private deployment keeps sensitive training data inside your perimeter; Managed service layer with 160+ specialist teams and 99%+ QA

[Profile (Markdown)](https://openaitools.app/tool/basicai-cloud.md)

## Graviti

Graviti operates as a training-data company serving two markets that increasingly overlap: Physical AI and large language models. For robotics and humanoid research, it captures synchronized egocentric and multi-view video of real work — small-part assembly on factory floors, housekeeping in hotel rooms, tidying in offices — recorded by a head-mounted camera alongside three fixed cameras, all calibrated and time-aligned. Sessions carry free-text action descriptions with timestamps and triangulated body keypoints, and raw footage can be licensed without annotations. The company positions this as data from real working environments rather than staged lab recordings.\n\nFor language models, Graviti licenses expert-written research-level STEM problems with verified solutions, human preference pairs for RLHF, DPO and reward modeling, containerized agentic coding environments with automated verifiers, and expert-graded professional work tasks producing XLSX, DOCX and PPTX deliverables. A single pipeline covers capture, annotation, verification and delivery, and the same pipeline powers both the published catalog and custom data programs.\n\nDelivery is designed to drop into existing training stacks: LeRobot, RLDS, WebDataset, Parquet and JSONL are standard, with data shipped to S3, GCS, Azure or Hugging Face and accompanied by documented schemas and data cards. Rights and compliance are handled up front, with written revocable contributor consent that explicitly covers AI training, provenance tracing per record, optional face and screen blurring, and a perpetual commercial license to train and deploy models with exclusive options for strategic partners. Graviti does not publish list pricing; dataset licensing is arranged through contact sales.

**Pricing & Plans:** Graviti does not publish list prices and is not a self-serve product. Pricing is arranged through its sales team, and the offering spans an off-the-shelf dataset catalog (some datasets flagged early access) plus custom data programs that combine capture, annotation and delivery. Prospective buyers start by exploring datasets and requesting a sample.

- **Synchronized egocentric and multi-view video:** Flagship datasets pair a head-mounted camera with multiple fixed cameras recording the same session, synchronized and calibrated so models learn spatial action understanding.
- **Robotics and manipulation datasets:** Bimanual teleoperation trajectories, body keypoints, action segments and language instructions are captured and annotated for robot manipulation and world-model research.
- **LLM data programs:** For language models, Graviti offers expert-written STEM problems, human preference pairs for RLHF and DPO, agentic coding environments and expert-graded finance, legal and office tasks.
- **Annotation and verification pipeline:** Trained annotators add action segments, hand and body keypoints, narration, preferences and rationales, followed by multi-pass human review, automated checks and contamination screens.
- **Formats, delivery and rights:** Data ships in LeRobot, RLDS, WebDataset, Parquet and JSONL with documented schemas and data cards, delivered to your storage bucket, with privacy blurring and clear commercial licenses.

**Strengths:** Datasets are captured in real workplaces rather than staged lab environments; Deliveries come in standard ML formats with documented schemas and data cards; Consent, provenance and optional privacy blurring are built into the pipeline; Clear commercial licensing with exclusive options for strategic partners

**Limitations:** Pricing is not published; dataset licensing requires contacting sales; Several flagship datasets (teleoperation, agentic coding, expert work tasks) are early access only; Physical AI datasets depend on a contributor network and are constrained by consent and privacy rules; No self-serve data-purchase flow for individual developers

[Profile (Markdown)](https://openaitools.app/tool/graviti-com.md)

## Frequently Asked Questions

### How do BasicAI Cloud and Graviti compare in monthly traffic?

BasicAI Cloud has 21,670 monthly visits, while Graviti has 755. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BasicAI Cloud has a month-over-month growth rate of -13.1%; Graviti has -82.8%.

### How does pricing compare?

BasicAI Cloud: Freemium, Enterprise Quote. Freemium — the annotation platform has a free tier. Managed labeling services, enterprise plans and private deployment are priced per project via a quote; a free pilot dataset and platform demo are offered. Graviti: Freemium. Graviti does not publish list prices and is not a self-serve product. Pricing is arranged through its sales team, and the offering spans an off-the-shelf dataset catalog (some datasets flagged early access) plus custom data programs that combine capture, annotation and delivery. Prospective buyers start by exploring datasets and requesting a sample.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | High-quality human data for AI training, evaluation, and research | [.md](https://openaitools.app/tool/prolific-com.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 4 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 5 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Real-time vision AI models and a full platform to train, annotate, and deploy them | [.md](https://openaitools.app/tool/ultralytics.md) |
| 6 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 7 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Human-validated training data and evaluation services for frontier AI models | [.md](https://openaitools.app/tool/appen-com.md) |
| 8 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |
| 9 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) |
| 10 | [Memories.ai](https://openaitools.app/tool/memories-ai) | 188,127 | -14.6% | Freemium, Contact for Pricing | Video data infrastructure for physical AI and robot training | [.md](https://openaitools.app/tool/memories-ai.md) |

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Source: https://openaitools.app/compare/basicai-cloud-vs-graviti-com

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