FAQs
Answers You Need
Discover answers to your most common inquiries at the Syntheticaire Help Center. We've gathered the most frequently asked questions from our community to provide you with a comprehensive resource. If you don't see the answer you need, feel free to contact us and we'll be happy to help.
What are the possible use cases of AI?
Predictive analytics: AI can be used to build predictive models that can forecast future trends based on historical data.
Fraud detection: AI can be used to identify fraudulent transactions or patterns in large datasets.
Risk management: AI can be used to identify and mitigate risks in financial, insurance, and other industries.
Marketing: AI can be used to analyze customer behavior and preferences to optimize marketing campaigns.
Customer service: AI can be used to improve customer service by providing personalized recommendations and solutions.
Supply chain optimization: AI can be used to optimize supply chain operations by analyzing data and identifying bottlenecks and inefficiencies.
Healthcare: AI can be used to analyze patient data and assist in medical diagnosis and treatment.
Where does your application run?
If you requested our production ready solution we install it to your infrastracture. Depending on your needs, it could be on-premise or cloud server. If you have complicated needs, the previous statement is still valid, moreover we are ready to help you to improve it. Also we are open proof of concept, or complete application development, which requires further discussion
Why would I need synthetic data?
Privacy protection: Synthetic data can be used in place of real data, protecting the privacy of individuals while still allowing for analysis and modeling.
Cost-effective: Creating synthetic data is often less expensive and time-consuming than collecting and processing real data.
Increased accuracy: Synthetic data can be generated with greater control over the variables and noise, resulting in more accurate and precise data for analysis.
Reduced bias: Synthetic data can be created with balanced distributions and varied scenarios, reducing the risk of bias in analysis.
Greater flexibility: Synthetic data can be generated on demand, allowing for rapid testing and experimentation without the limitations of real data availability.
How Can I Request a Demo?
We're offering a free first meeting to get to know each other and your industry. During this session, we can provide demos showcasing how our system works and the results it produces. Take advantage of this opportunity to learn more about us with no cost or obligation.
How do you decide the pricing?
It's highly depends on the given project. If you need our production ready solution it has a periodic fee, which includes our support rate. If you are interested in other type of examination or implementation it can be hourly, or project based invoicing
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