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Rendered.ai

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What Rendered.ai is

Rendered.ai provides synthetic data solutions and a computer-vision development platform for generating images, training models, and validating results. Generated data is matched to sensor specifications and supplied with labels. Supported sensors include SAR, RGB, infrared, thermal, multispectral, hyperspectral, X-ray, and custom or emerging types. Workflows can be configured with drag-and-drop tools and include asset sharing, dataset analysis, annotation mapping, version control, traceability, and sharing. Model features cover training, inference, performance analysis, and automatic labeling of real datasets with custom annotations. Integrations include DIRSIG, NVIDIA Omniverse, and QSIM RT, with other simulators able to be incorporated. Access is available through a web UI, APIs and SDKs, development environments, user agents, and an MCP Server. Deployment is hybrid, with web, API, and self-hosted options. Outputs include PNG, JPEG, TIFF, JSON, YAML, COCO, GEOCOCO, PASCAL, YOLO, KITTI, SageMaker OD, and SageMaker SS. A free 15-day trial includes workspace, workflow, dataset, and model tools.

Who it suits

Rendered.ai is intended for data scientists, data engineers, and developers building custom synthetic-data applications. It also suits organizations needing hybrid deployment and sensor-specific computer-vision datasets.

What it does well

  • Synthetic data matched to sensor specifications
  • Labels generated data
  • Broad sensor and output-format support
  • Model training and validation tools
  • Web, API, and self-hosted access

What to know first

  • No free plan
  • Teams costs $5,000 a month
  • Organizations costs $15,000 a month
  • Some plans require a quote

Limits

The free trial lasts 15 days. Teams includes 5 members, 3 channels, 5 volumes, 250 GB volume storage, 2,500 GB dataset storage, and 1,000 datasets per workspace; Organizations includes 20 members, 25 channels, 20 volumes, 500 GB volume storage, 5,000 GB dataset storage, and 5,000 datasets per workspace.

Plans

PlanBilled and limitsPrice
Organizations$15,000/ month · 10 Enhanced Support Credits per month · Technical Account Manager · 25 Peak Instances · 20 Members · 25 Channels · 20 Volumes · 500 Volume Storage (GB) · 5000 Dataset Storage (GB) · 5000 Datasets per Workspace$15,000 a month
Teams$5,000/ month · 0 Enhanced Support Credits per month · No Technical Account Manager · 10 Peak Instances · 5 Members · 3 Channels · 5 Volumes · 250 Volume Storage (GB) · 2500 Dataset Storage (GB) · 1000 Datasets per Workspace$5,000 a month
Model DevelopmentPer trained model delivered; depends on combination with other Rendered.ai solutions · Per-model pricing; request a quoteOn request
Self-Managed SubscriptionContact Rendered.ai for details · PaaS subscription; details not listed on pageOn request
Synthetic Data as a ServicePer labeled image; depends on sensor modality, image scale, and bundling with other Rendered.ai solutions · Per-labeled-image pricing; request a quoteOn request
Auto-Data LabelingPer image labeled; depends on sensor modality, image count, and use with other Rendered.ai solutions · Per-image pricing; request a quoteOn request

As rendered.ai lists them, read 4 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open https://rendered.ai/
  2. Start the free 15-day platform trial
  3. Use the web UI, APIs and SDKs, development environments, or MCP Server
  4. Create an engineering workspace and workflow graph
  5. Manage assets, compute, annotations, datasets, and model testing
  6. Select Teams, Organizations, or a quote-based service

Verdict

Rendered.ai brings synthetic-data generation, workflow management, and model development into one hybrid platform. Its substantial subscription prices and quote-based offerings make it primarily suited to organizations with defined computer-vision programs.

Questions

Is there a free plan?

There is no free plan. A free trial provides platform access for 15 days.

What does the trial include?

The trial includes engineering workspaces, workflow graphs, asset and compute management, annotation mapping, dataset comparison, and model testing, training, and validation tools.

Which deployment options are available?

Deployment is hybrid, with web, API, and self-hosted access options.

How much do the main plans cost?

Teams is $5,000 a month, and Organizations is $15,000 a month. Other listed services use per-model, per-labeled-image, or contact-for-details pricing.

Who makes Rendered.ai?

The maker is DADoES, Inc., doing business as Rendered.ai, a California corporation with a Bellevue, Washington address.

What output formats are supported?

Outputs include PNG, JPEG, TIFF, JSON, YAML, COCO, GEOCOCO, PASCAL, YOLO, KITTI, SageMaker OD, and SageMaker SS.

Facts from Rendered.ai's own pages

Access methods
The platform can be used through its web UI, APIs and SDKs, user agents or development environments, and MCP Server. · rendered.ai, 4 Oct 2026
Company
The privacy policy identifies the maker as DADoES, Inc. doing business as Rendered.ai, a California corporation, and gives a Bellevue, Washington address. · rendered.ai, 4 Oct 2026
Headquarters
Bellevue, Washington, United States · rendered.ai, 28 Sept 2026
Integrations
The platform names DIRSIG, NVIDIA Omniverse, and QSIM RT as integrated simulators and says other preferred simulators can be incorporated. · rendered.ai, 4 Oct 2026
Intended users
The documentation describes Synthetic Data Studio as a cloud PaaS for data scientists, data engineers, and developers creating custom synthetic data applications. · docs.rendered.ai, 4 Oct 2026
Model tools
The platform includes model training, inference features, performance analysis, and auto-data labeling for real datasets with custom annotations. · rendered.ai, 4 Oct 2026
Privacy
Rendered.ai says it does not sell or share user personal data with third parties for marketing purposes. · rendered.ai, 4 Oct 2026
Purpose
Rendered.ai provides synthetic data solutions and a platform for computer vision development, including synthetic image data generation, model training, and validation. · rendered.ai, 4 Oct 2026
Security
The privacy policy lists encryption in transit and at rest, password and account protection mechanisms, and AWS data storage and services as current security measures. · rendered.ai, 4 Oct 2026
Sensor types
The platform describes simulation support for SAR, RGB, infrared, multispectral, hyperspectral, and X-ray sensors. · rendered.ai, 4 Oct 2026
Support
The Organizations subscription includes 10 Enhanced Support Credits per month and a Technical Account Manager who holds regular coordination meetings and manages an ongoing backlog. · rendered.ai, 4 Oct 2026
Synthetic data
The platform generates synthetic data matched to sensor specifications and provides labels with generated data. · rendered.ai, 4 Oct 2026
Trial
The trial page offers free 15-day platform access with engineering workspaces, workflow graphs, asset and compute management, annotation mapping, dataset comparison, and model testing, training, and validation tools. · rendered.ai, 4 Oct 2026
Workflows
Features include configurable drag-and-drop workflows, asset sharing, dataset analysis, annotation mapping, version control, traceability, and sharing. · rendered.ai, 4 Oct 2026

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