Neos builds custom AI-powered web and mobile systems to transform raw business data into actionable insights. They develop and deploy AI models for tasks like customer segmentation and sales optimization, integrating them into scalable cloud infrastructure to enhance business performance.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses possess vast amounts of data but often struggle to extract actionable insights that drive performance. This data remains underutilized, hindering informed decision-making and competitive advantage.
Solution
Neos develops advanced artificial intelligence algorithms and custom web and mobile systems to transform raw business data into actionable insights. Leveraging design thinking principles, the company focuses on understanding user journeys and pain points to build tailored solutions. Neos's expertise spans data analysis, AI model development, and seamless integration within robust cloud infrastructure. They guide clients through the entire process, from identifying relevant data and preprocessing it, to developing AI models, deploying them as microservices, and creating visualization dashboards. This approach ensures that data is effectively leveraged to enhance business performance.
Target Audience
Neos serves businesses across various sectors, including retail, service providers, and industry, that aim to leverage their data for improved operational efficiency and strategic decision-making.
Features
- Development of AI algorithms for customer segmentation, personalized recommendations, and sales optimization.
- Creation of custom web and mobile applications for diverse business needs, including POS systems and loyalty programs.
- Utilization of cloud infrastructure, specifically AWS, for scalable, secure, and performant environments.
- Application of design thinking methodology to ensure user-centric and intuitive solution design.
- Data pipeline management including extraction, transformation, and loading (ETL) processes.
- Deployment of AI models as microservices for easy integration into existing systems.
- Development of reports and dashboards for data visualization and insight discovery.
- Partnership with academic institutions for AI research and development, focusing on areas like recommendation systems and omni-channel strategies.