evoML Description
evoML enhances the efficiency of developing high-quality machine learning models by simplifying and automating the comprehensive data science process, enabling the conversion of raw data into meaningful insights in mere days rather than several weeks. It takes charge of vital tasks such as automatic data transformation that identifies anomalies and rectifies imbalances, employs genetic algorithms for feature engineering, conducts parallel evaluations of multiple model candidates, optimizes using multi-objective criteria based on custom metrics, and utilizes GenAI technology for generating synthetic data, which is especially useful for swift prototyping while adhering to data privacy regulations. Users maintain complete ownership of and can modify the generated model code, facilitating smooth deployment as APIs, databases, or local libraries, thereby preventing vendor lock-in and promoting clear, auditable workflows. Additionally, evoML equips teams with user-friendly visualizations, interactive dashboards, and detailed charts to detect patterns, outliers, and anomalies across various applications, including anomaly detection, time-series forecasting, and fraud prevention. With its robust features, evoML not only accelerates the modeling process but also empowers users to make data-driven decisions with confidence.
evoML Alternatives
Fraud.net
Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
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Triple Whale
Triple Whale consolidates all metrics from all your tools and puts them in your pocket. We simplify, inform, and save you time. We integrate eCommerce and marketing data from all your favorite apps so you don't have to switch between tabs and apps. All your data can be tracked, tested, and interpreted. Data backing your decisions makes it easier to make informed decisions. AI is being developed to reduce errors and improve your operations across all your tools. You can quickly gain insight into what is working and what isn't, so that you can strategize, optimize, and maximize growth. Get to know all about your customers' spending habits. Forecast and track your most important D2C metrics. You can send daily, weekly, or monthly reports to everyone in the company. You can choose from a template or create your own metrics. Wondering how a 0.5% increase in your conversion rate could affect your profit? Our calculator uses your data for real insight. You can adjust your dashboard to make it work for you and your team.
Moby by Triple Whale is an innovative AI-driven data platform designed to help brands and agencies unlock deep marketing insights quickly and efficiently. Its AI agents automatically analyze performance data across marketing channels, identifying trends in creative effectiveness, customer retention, and acquisition strategies. These agents provide precise recommendations on budget allocation to maximize return on investment and offer actionable fixes to increase website conversion rates. Trusted by brands like LSKD, Dixxon Flannel Company, and Porter Media, Moby has demonstrated success in detecting affiliate fraud, slashing reporting time, and boosting ROAS without increasing ad spend.
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Nixtla
Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.
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Azure AI Anomaly Detector
Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.
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Integrations
API:
Yes, evoML has an API
No Integrations at this time
Company Details
Company:
TurinTech AI
Year Founded:
2018
Headquarters:
United Kingdom
Website:
www.turintech.ai/evoml
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
In Person
Training Videos
Customer Support
Business Hours
Online Support
evoML Features and Options
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