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Rendered.ai is now on the AWS Marketplace

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THE PLATFORM AS A SERVICE FOR CREATING SYNTHETIC DATA

Overcome challenges in acquiring data for machine learning and AI systems
training

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NEW!

Rendered.ai is now on the AWS Marketplace

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RENDERED.AI IS A PAAS DESIGNED FOR DATA SCIENTISTS, ENGINEERS, AND DEVELOPERS

 * Generate synthetic datasets for ML/AI training and validation
 * Experiment with sensor models, scene content, and post-processing effects
 * Characterize and catalog real and synthetic datasets
 * Download or move data to your own cloud repositories for processing and
   training

Synthetic images from Rendered.ai helped validate the potential to test human
oocyte viability through deep learning


POWER INNOVATION AND INCREASE PRODUCTIVITY WITH SYNTHETIC DATA AS A CAPABILITY

 * Build custom pipelines to model diverse sensors and computer vision inputs
 * Start quickly with free, customizable python sample code to model SAR, RGB
   satellite imagery, and more sensor types
 * Experiment and iterate with flexible licensing that enables nearly unlimited
   content generation
 * Create labelled content rapidly in a hosted, high performance compute
   environment
 * Enable collaboration between data scientists and data engineers with a
   no-code configuration experience

Generate tens of thousands of images in a managed HPC environment
Build scenarios with procedural world generation or bring your own reality
capture models


GET STARTED QUICKLY WITH OUR WORLD BUILDING TOOLS, OR BRING YOUR OWN REALITY
CAPTURE MODELS AND 3D CONTENT

The Rendered.ai Platform uses industry-standard models and techniques to create
an unlimited of variety of synthetic imagery for AI training optimization.

 * Procedurally modeled landscapes, vegetation, buildings, water bodies, and
   cities
 * Reality capture meshes and models
 * User and community contributed 3D assets
 * Sample sensor models to generate simulated optical, radar, IR and other types
   of imagery output


HOSTED COLLABORATION FOR DATA SCIENTISTS, ENGINEERS, AND DEVELOPERS

The Rendered.ai Platform enables collaborative workflows between data science
team members.

 * Easy-to-use graphical interface allows multiple users to configure and
   collaborate on data generation channels
 * Generated synthetic datasets can be downloaded locally or shared to
   cloud-based storage for training and analysis
 * Flexible licensing models enable experimentation and iteration
 * Integrate into enterprise CV training and AI analytics workflows with robust
   python and REST APIs

User friendly graphical interface for collaborative configuration of synthetic
sensor data generation
Use the same scene and content to create synthetic datasets for multiple sensor
modes


SCALE TO TRAIN AI ON COMPLEX, CONSTANTLY CHANGING DATA FUSION PROBLEMS

Rendered.ai's cloud-native platform enables rapid innovation by teams needing to
generate and exploit synthetic datasets.

 * Save time and cost by focusing on configuration and customization for data
   that fits business-specific AI training needs
 * Create endless variations of data pipelines to accommodate sensor fusion
   scenarios, model sensors that don’t yet exist, and to simulate scenarios that
   are hard to reach
 * Generate unlimited datasets to enable experimentation and tuning, then embed
   synthetic data generation in enterprise AI workflows
 * Deploy data generation pipelines to high performance compute (HPC)
   environments and use standard tools such as AWS SageMaker and NVIDIA® TLT


INDUSTRIES


Automotive AI

Medical AI

Robotics

Satellite Imagery

Security

X-ray

"Working with Rendered, we were able to use synthetic data to significantly
improve computer vision algorithm performance for detecting economically
important objects in satellite imagery. AP scores improved across the board for
identifying rare and unusual objects when combining synthetic images with actual
satellite imagery compared with using real images alone. The objects in our
study have been historically difficult to identify using automated algorithms
but represent high value information for monitoring and reporting."

"We saw that synthetic data is a critical capability for computer vision
algorithm development and for optimizing detection performance to extract vital
information from real sensor-based data."

James Crawford, Orbital Insight
Founder, Chairman, CTO

Orbital Insight Technical Report
Using Synthetic Imagery to Train Detection Models of Rare Objects in Satellite
Imagery


MEDIA

What "Synthetic Data" is in the context of AI, and why it's important for
machine learning

Why we take a physics-based approach, and more about tools designed for Machine
Learning Realism

What makes synthetic data “good”? We discuss repeatable, human understandable,
closed-loop active learning workflows

A single easy-to-use tool for Synthetic data. Build a deeper understanding of
outcomes with testable hypotheses on your data


MORE VIDEOS >


PRESS RELEASES & ARTICLES


RENDERED AI MAKES SENSE OF COMPLEX SYNTHETIC DATA

Geo Week News, July 8, 2022


RENDERED AI STREAMLINES SYNTHETIC DATA FOR GIS DIGITAL TWINS

VentureBeat, June 1, 2022


GEOINT 2022 - RENDERED.AI - NATHAN KUNDTZ INTERVIEW (YOUTUBE)

Project GeoSpatial, May 11, 2022


RENDERED.AI JOINS ESRI PARTNER NETWORK STARTUP PROGRAM TO CREATE SYNTHETIC DATA
USING INDUSTRY-STANDARD GEOSPATIAL SERVICES AND CONTENT

AiThority, April 26, 2022


GENERATING EARTH OBSERVATION DATASETS FOR AI TRAINING | DIRSIG PARTNERSHIP

Geo Week News, April 21, 2022


Q&A WITH NATHAN KUNDTZ, CEO, RENDERED.AI

Trajectory Magazine, April 8, 2022


RENDERED.AI UNVEILS PLATFORM AS A SERVICE FOR CREATING SYNTHETIC DATA TO TRAIN
AI MODELS

ZDNet, February 3, 2022


RENDERED.AI POWERS PHYSICS-BASED AI TRAINING WORKFLOWS WITH LAUNCH OF FIRST-EVER
HOSTED PLATFORM FOR SYNTHETIC DATA

BELLEVUE, Wash., February 3, 2022


FORMER KYMETA CEO LANDS $6M TO REIMAGINE AI TRAINING WITH NEW SEATTLE-AREA
STARTUP RENDERED.AI

Geekwire, October 8, 2021


RENDERED.AI RAISES $6M, EXPANDING FIRST-EVER DEVELOPER FRAMEWORK FOR SYNTHETIC
DATA

BELLEVUE, Wash., October 5, 2021


RENDERED.AI RAISES $6M ON THE PROMISE OF ENDING DATA SCARCITY

TechCrunch, October 5, 2021


QUADRIDOX’S “QSIM” X-RAY SIMULATION TOOL TO BE HOSTED ON RENDERED.AI’S COMMON
APPLICATION FRAMEWORK

BELLEVUE, Wash., February 11, 2021


RENDERED.AI ANNOUNCES 200 TIMES SPEED IMPROVEMENT BY MOVING SIMULATION CODE TO
NVIDIA GPUS

BELLEVUE, Wash., October 6, 2020


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