AI-Powered Synthetic Data Generation

Protect private data and comprehensively train your algorithms with
AI-generated synthetic data

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How Synthetic Data Generation is Transforming
Big Data & Privacy

Data Anonymization has always faced challenges and raised quite a few questions when it comes to privacy protection. This is where Synthetic Data Generation has revolutionized the industry by enabling businesses to protect data, ensure privacy, and at the same time generate data sets that mimic all the same patterns and correlations from your original data. Being completely anonymous synthetic data is exempt from data protection regulations.

Folio3’s Advanced Synthetic Data Generation Solution

Folio3’s Synthetic Data Generation Solution enables organizations to generate a limitless amount of realistic & highly representative data that matches the patterns, correlations, and behaviors of your original data set. Our solution can create synthetic data for a variety of uses and in a range of formats.

Use Cases

Our synthetic data generation solution is capable of generating accurate data that is based on the patterns and behaviors of the original data set. Therefore, it serves a synthetic data generation tool that enables you to create anonymized data at scale without risking your customer’s privacy or denting your reputation. 

Producing 3D Tracks

AI Training

Generate accurate data at scale to train your advanced machine learning and AI algorithms.

3D Labeling

Testing & Development

Test and develop your next-gen products and services with accurate data at scale

Sensor-Friendly Services

Data Monetization

Monetize by sharing data assets with the fullest detail without risking the privacy of your customers.

Identifying Objects and Analysis

SaaS Product Validation

Test drive SaaS seintervices by creating real-world conditions with synthetic data and safely test new offerings.

Industries

Our solution can be used for a multitude of industries and businesses, backed by a suite of services designed to serve individual client needs.

Artificial Intelligence

Image Recognition

Healthcare

Image Classification
Data Labeling

Start-Ups

Land Surveys & Inspections

Image Analytics

Livestock & Animal Care

Pattern Recognition

Autonomous Vehicles

Visual Search

Agriculture

Image Analytics

RPA Case Study

Square Trade

Predicting Thalassemia through Gel Electrophoresis

Gel electrophoresis is a laboratory method used to separate mixtures of DNA, RNA and proteins according to molecular size. It is a very time consuming method which is used to identify the thalassemia status of a patient. In gel electrophoresis the molecules to be separated are pushed by an electrical field through a gel that contains small pores. The client required a cost effective solution which would automate the otherwise error prone manual process of the prediction of thalassemia through image analysis of gel electrophoresis. After assessing the client’s requirements we worked on developing a state-of-the-art image analysis solution which provides an automated and error free analysis of gel electrophoresis images to predict the thalassemia status of patients.

Talk to an Expert

In the search for a reliable synthetic data generation company?

Drop us a line and our experts will provide you with a free 1-hr consultancy and discuss your project requirements!

Why Choose Folio3?

15+ Years of Experience

15+ Years of Experience

Folio3 offers extensive expertise and experience by leveraging in-depth industry insight. We help clients achieve maximum potential by predicting loss points and providing actionable vision.

Certified Experts

Certified Experts

Our team of professionals includes more than 300 skilled developers with the right certifications and qualifications to address your every requirement.

1000+ Enterprise-Level Clients

1000+ Enterprise-Level Clients

Our extensive list of satisfied customers includes companies from a wide range of industries both public and private, including healthcare, manufacturing, retail and traffic management.

Still have Questions?

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AI-Powered Synthetic Data Generation FAQs

what is synthetic test data generation?

Synthetic Data Generation is the creation of data that is generated artificially by algorithms based on an original data set. It is used for a wide range of activities like testing new products, tools, or validating different AI and machine learning models.

what are some synthetic data generation applications?

Synthetic Data can be used in the process of data mining or testing and training complex systems like fraud detection, confidentiality systems, or any other type that works with Big Data.