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What is Smock-it?

Smock-it is an innovative command-line tool that simplifies the process of generating synthetic test data for Salesforce environments. Designed for both small-scale projects and enterprise-level testing, Smock-it allows users to create data templates that accurately reflect their Salesforce schema, ensuring data is realistic and compatible with complex relationships and dependencies. The tool supports both standard and custom Salesforce objects, making it versatile for a wide range of testing needs. Smock-it ensures full compliance with GDPR and CCPA, generating synthetic data that avoids the privacy risks associated with using real customer information. It also supports bulk data generation, making it ideal for stress testing and performance evaluations. With features such as automated data refresh, advanced customization options, and the ability to directly insert data into Salesforce environments, Smock-it streamlines the testing process and ensures comprehensive coverage. Whether you need to test new features, train models, or validate workflows, Smock-it provides a fast, scalable solution that helps teams save time and maintain high testing standards.

What is SKY ENGINE AI?

SKY ENGINE AI is a comprehensive synthetic data platform engineered to deliver large-scale 3D generative content for Vision AI development. It unifies simulation, rendering, annotation, and model-training infrastructure into a single managed system, removing the typical fragmentation found in AI workflows. Using physics-based rendering and multispectrum support, the platform generates highly realistic synthetic images tailored to complex perception tasks across multiple sensors. Its domain processor aligns synthetic output with real-world data through GAN post-processing, texture adaptation, and automated gap-analysis tools. Developers benefit from an integrated code environment that connects directly to GPU memory, offering smooth compatibility with PyTorch, TensorFlow, and enterprise MLOps stacks. SKY ENGINE AI’s distributed rendering system enables fast generation of millions of samples by scaling scenes, models, and training plans across compute clusters. Built-in blueprints for automotive, robotics, drones, manufacturing, and human analytics allow users to generate rich, scenario-specific datasets instantly. Powerful randomization controls provide complete variability for lighting, materials, motion, and environment physics, ensuring robust generalization in Vision AI models. With automated cloud resource management and continuous data iteration capability, teams can test model hypotheses, synthesize edge cases, and refine datasets with unprecedented speed. The platform ultimately reduces cost, accelerates development cycles, and delivers enterprise-grade synthetic datasets for production-ready AI systems.

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Integrations Supported

Salesforce

Integrations Supported

API Availability

API Availability

Pricing Information

$0
Free Version

Pricing Information

Contact us
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Concretio

Date Founded

2013

Company Location

India

Company Website

www.concret.io/salesforce-test-data-generator

Company Facts

Organization Name

SKY ENGINE AI

Date Founded

2018

Company Location

United Kingdom

Company Website

www.skyengine.ai

Categories and Features

Categories and Features

AI Development

Not specified

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Predictive Analytics

Computer Vision

Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Deep Learning

Convolutional Neural Networks
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Image Recognition

Not specified

LiDAR

Not specified

Virtual Reality

Not specified

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