What Rendered.ai does

Rendered.ai is a Bellevue, Washington-based (DADoES, Inc., California corporation) provider of a Platform as a Service for generating physics-based synthetic data used to train and validate computer vision AI/ML models. Founded in 2019–2020, the company targets enterprise customers in defense and intelligence, earth observation, aerospace, transportation, manufacturing, insurance, and agriculture—sectors where acquiring real-world imagery is expensive, restricted, or technically impractical. Its core value proposition is producing fully labeled synthetic image and video data at scale for complex sensor modalities including SAR, infrared, thermal, multispectral, hyperspectral, and X-ray, where generic synthetic data tools cannot deliver physics-grade accuracy.

The technology stack combines proprietary workflow orchestration with integrations to best-in-class external simulators: NVIDIA Omniverse and OptiX for ray tracing, DIRSIG from RIT's DIRS Laboratory, Ansys tools for accelerated SAR simulation, and Quadridox's QSIM X-ray simulator. Synthetic images are generated to obey the laws of physics covering lighting, materials, sensor physics, and geometry, and every generated image is automatically labeled at creation, eliminating the manual annotation bottleneck. The portfolio has expanded beyond the core PaaS to include Synthetic Data as a Service (SDaaS), Model Development Services delivered in 2-week sprints, Auto-Data Labeling Services, and most recently Agent Studio—a customizable AI-agent builder for deep-tech engineering workflows released in beta in 2025 with a $250 credit-based freemium entry point.

Rendered.ai monetizes through a hybrid model. The PaaS is sold as monthly subscriptions at two tiers—Teams ($5,000/month) and Organizations ($15,000/month)—with self-managed deployment available by quote. Professional services (SDaaS, Model Development, Auto-Data Labeling) are typically structured as multi-year contracts or project-based engagements scoped by dataset size and sensor modality. Distribution combines direct enterprise field sales with a self-serve channel and a government-focused reseller partnership with Carahsoft (announced March 2024). The company is venture-backed by Space Capital, which led a $6 million seed round in October 2021, with additional participation from Congruent Ventures, Tectonic Ventures, Uncorrelated Ventures, and Union Labs Ventures.

Name

Rendered.ai

Legal name

DADoES, Inc.

Website

https://rendered.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Short description

Rendered.ai is a Bellevue-based Platform-as-a-Service provider of physics-based synthetic data for training computer vision AI/ML models. It serves enterprise customers in defense, aerospace, geospatial, manufacturing, and transportation, specializing in difficult sensor modalities (SAR, IR, hyperspectral, X-ray) with fully automated labeling.

Ownership category

akta.pro rank

Product category

Synthetic Data Platform

NAICS

Custom Computer Programming Services (541511), Computer Systems Design Services (541512)

SIC

Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• Synthetic data generation
• Computer vision AI
• Physics-based simulation
• Data labeling services
• Platform as a service

Headquarters

HQ city

Seattle

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Platform as a Service Subscription: Monthly subscription-based access to the synthetic data generation platform with Teams tier ($5,000/month) and Organizations tier ($15,000/month). Includes compute resources, storage, collaborative features, and technical support.
2. Synthetic Data as a Service: Expert-led custom synthetic dataset creation including scenario design, sensor modeling, labeling, and delivery. Project-based pricing scoped by dataset size and sensor modality.
3. Model Development Services: End-to-end computer vision model development using synthetic and real data, including training, tuning, and validation. Custom engagement pricing structured by project scope or 2-week development sprints.
4. Auto-Data Labeling Services: Automated labeling of real-world datasets using synthetic-trained models with custom annotation formats. Custom pricing based on data volume and annotation type.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

Rendered.ai operates a Platform as a Service (PaaS) for generating physics-based synthetic data used to train and validate computer vision AI/ML models across visible and non-visible sensor modalities. The platform integrates industry-standard simulators (NVIDIA Omniverse, DIRSIG, QSIM) and provides automated, fully labeled synthetic imagery for complex sensor types including SAR, infrared, multispectral, hyperspectral, and X-ray. Complementing the platform, the company offers expert-led Synthetic Data as a Service, Model Development Services, Auto-Data Labeling Services, and an AI Agent Studio for deep tech engineering workflows.

Product overview

Rendered.ai is a synthetic data generation platform provider for computer vision AI development. The portfolio consists of the core Platform as a Service (PaaS) for enterprise teams to generate synthetic data, combined with professional services including Synthetic Data as a Service (expert-led custom dataset creation), Model Development Services, and Auto-Data Labeling Services. Agent Studio rounds out the offering as a customizable AI agent builder for deep tech engineering workflows. The platform specializes in physics-based accuracy and complex sensor modalities (SAR, infrared, multispectral, hyperspectral, X-ray) that are difficult for generic synthetic data vendors.

Differentiator

Problem solved

Functional benefit

Products and services

• Platform as a Service (PaaS) Enterprise computer vision engineering platform for rapid synthetic image data generation, model training, and validation. Features collaborative workspaces, asset management, integrated simulators, automated workflows, and ML model training capabilities for enterprise teams.
• Synthetic Data as a Service (SDaaS) Expert-led creation of customized synthetic datasets including scenario design, sensor modeling, labeling, and delivery. Generates physically accurate, fully labeled data for complex sensor types with 2-day turnaround for enterprise customers needing tailored datasets.
• Model Development Services End-to-end computer vision model development using synthetic and real data, including training, tuning, and validation. Delivers production-ready models in 2-week development sprints for enterprise customers.
• Auto-Data Labeling Services Automated labeling of real-world datasets using synthetic-trained models and domain-specific annotation formats. Applies custom annotations across existing datasets at scale for enterprise customers.
• Agent Studio Agentic workflow automation platform for building customizable AI agents for hardware, design, and deep tech engineering. Enables creation of domain-specific agents with layered rule sets, tool collections, and secure sandboxed execution environments.

Named customers9 records

Segments7 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability8 records

Feature5 records

Partnerships

Seven partnerships are on record, tiered strategic, core and minor.

• Kallisto AIstrategicStrategic or Co-development Partner · 17 October 2025Partnership to expand use of synthetic data for validation of Kallisto Shield camouflage system. Synthetic data generated across IR, thermal, multispectral, and SAR bands for testing AI-driven targeting algorithm deception capabilities.
• NVIDIAcoreTechnology or IntegrationIntegration with NVIDIA Omniverse, NVIDIA OptiX ray tracing engine, and NVIDIA TAO models. Platform supports NVIDIA's simulation and AI ecosystem for synthetic data generation.
• DIRS Laboratory (RIT)coreTechnology or IntegrationPartnership with Rochester Institute of Technology's Digital Imaging and Remote Sensing (DIRS) Laboratory. DIRSIG simulator integrated into Rendered.ai platform for physically accurate imagery generation.
• AnsyscoreTechnology or IntegrationRendered.ai is a member of the Ansys Developer Partner Program. Partnership enables accelerated SAR simulation for large environments using Ansys tools.
• QuadridoxcoreTechnology or IntegrationQSIM RT x-ray simulator integrated into platform. Partnership enables physics-based synthetic data for X-ray imaging applications.
• CarahsoftcoreChannel Partner/ Reseller/ DistributorPartnership announced March 2024 to bring synthetic data generation to the public sector. Carahsoft serves as a trusted government IT solutions provider.
• Eclipse SpaceminorOthersEclipse Space acquired an AI engineering team from Rendered.ai in June 2026 to accelerate satellite design capabilities. Not a commercial partnership but a talent acquisition.

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Synthesis AI: Synthesis AI generates synthetic visual data specifically for computer vision model training across face, body, and object recognition. Directly comparable to Rendered.ai's physics-based synthetic data platform, with overlapping enterprise CV use cases and a similar focus on auto-labeling and domain adaptation.
• Scale AI: Scale AI combines synthetic data generation and data labeling for machine learning and computer vision. Comparable to Rendered.ai on synthetic data plus auto-labeling, though Scale AI operates at much larger scale and across both government and commercial defense applications.
• Datagen: Datagen produces synthetic visual data for computer vision applications, including simulated environments and sensor-specific imagery. Directly comparable to Rendered.ai's simulation-driven synthetic data approach serving enterprise CV teams.
• Mostly AI: Mostly AI provides a synthetic data platform for tabular and structured enterprise data, expanding into vision-adjacent use cases. Comparable to Rendered.ai as a synthetic data PaaS, though with greater emphasis on structured/tabular data than Rendered.ai's physics-based imagery focus.

Broad incumbents

• Unity Technologies: Unity is a real-time 3D engine and simulation platform widely used to generate synthetic training data for perception ML. Comparable to Rendered.ai's simulation-driven data generation infrastructure, though Unity is a broad incumbent serving gaming, industrial digital twins, and adjacent markets beyond synthetic CV data.

Emerging players

• Gretel.ai: Gretel.ai offers a developer platform for generating synthetic text, tabular, and time-series data with privacy guarantees. Comparable as an AI-oriented synthetic data platform, but focused on privacy-safe structured data rather than Rendered.ai's physics-based sensor imagery niche.
• Sky Engine AI: Sky Engine AI provides a synthetic data and computer vision platform for industrial inspection and surveillance. Comparable to Rendered.ai on synthetic visual data plus integrated CV model training, though concentrated in industrial inspection rather than defense and geospatial.
• Labelbox: Labelbox is a data-centric AI platform for labeling, evaluation, and dataset management for ML teams. Overlaps with Rendered.ai on auto-labeling and training data preparation, though without the physics-based sensor simulation core.
• CVEDIA: CVEDIA provides synthetic data and computer vision solutions for industrial, automotive, and surveillance applications. Comparable to Rendered.ai's enterprise CV focus and synthetic data generation approach, with similar customer segments in aerospace and industrial inspection.
• Edge Case Research: Edge Case Research specializes in safe and robust AI for autonomous systems, including synthetic data and edge-case scenario generation. Comparable to Rendered.ai on synthetic edge-case data for safety-critical CV applications, particularly in autonomy and industrial robotics.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key highlights7 records

Customer concentration

• Xx.com/RenderedAI
• LinkedInlinkedin.com/company/rendered-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds1 record

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rendered.ai