The startup develops financial trading software that utilizes artificial intelligence to enhance market prediction accuracy and improve customer relationship management systems. By integrating human-like interactive learning, the platform aims to optimize e-commerce operations and strengthen cybersecurity measures in financial investing applications.
Funding
$6.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to extract meaningful insights and improve accuracy from their existing AI models due to the complexity of data analysis and the need for continuous adaptation to changing conditions. Traditional AI systems often lack transparency and the ability to incorporate human expertise effectively, limiting their overall performance and applicability across diverse domains.
Solution
Azaries offers Azaries Spark, a Human Artificial Intelligence (HAI) platform designed to augment existing AI models and provide a no-code entry point for organizations seeking to leverage AI. The platform discovers hidden patterns in data and produces rule sets for real-world applications, incorporating human knowledge and iterative learning to improve accuracy and transparency. Azaries Spark employs an ensemble of AI techniques, dynamically selecting the most applicable calculations and comparisons for specific applications, and continuously adjusting to changing data conditions through its resource spinning process. The platform's modular design offers Discovery for pattern identification, Decision Assistance for recommendations, and Autonomy for automated actions based on real-time data.
Target Audience
Azaries primarily targets organizations across various industries, including financial markets, healthcare, and weather forecasting, that are looking to improve the accuracy and performance of their existing AI systems or implement AI as a new business tool.
Features
- No-code interface for easy integration and use across various skill levels
- Human Artificial Intelligence (HAI) approach that incorporates human knowledge into the AI learning process
- Pattern discovery engine that identifies hidden and meaningful patterns in data
- Ensemble of AI techniques that dynamically selects the most applicable algorithms
- Resource spinning process that continuously adjusts to changing data conditions
- Modular design with Discovery, Decision Assistance, and Autonomy components
- Customizable parameters to tailor the platform to specific applications
- Real-time data analysis and pattern recognition
- Integration with existing AI models to improve accuracy and performance