Human + Artificial Intelligence
AI solutions for modern challenges
BeawAI offers cutting-edge AI solutions to transform complex challenges into growth opportunities across various industries.
Empowering Industries with AI
Explore AI's transformative power in forecasting, classification, and more. Ideal for sectors like retail, finance, energy, and consumer media.
Be more effective and efficent
Enhance Revenue and Reduce Costs: From ecommerce optimization to fraud detection, our AI solutions drive efficiency and innovation by optimizing existing activities and finding new business opportunities.
Tailored AI Integration for Your Business Needs
Blending Technology with Business Strategy: Our unique approach encompasses project scoping, opportunity identification, seamless AI integration, and staff training, ensuring that technology serves your business objectives.
Agile development
- Working iteratively to quickly develop a prototype
- Delivering lightweight solutions thanks to agile management
- Involving the customer in the process
4-8 weeks for 1st working prototype
Transformational projects
- Focusing on transformational, one-of-a-kind projects
- Tailoring end-to-end solutions to customer unique needs
- Taking on complex issues that are not cut for off-the-shelf-solutions
Ad-hoc solutions, not off-the-shelf
Skin in the Game
- Not selling man hours or license fees
- Basing compensation on success or per use
- Betting on customer success and sharing the same uncertainties and risks
Per use / per profit compensation, no project-risk
CASE STUDY: Sales forecasting and credit risk prediction
We helped a Consumer Company to predict sales and credit risk of their 1M+ retailer clients
Consumer Goods manufacturer with over 1M retailers which buy on credit terms
High credit limits increase sales but also default risk
Developed a neural network that predicts sales and default risk (1st prototype in 4 weeks)
Sales forecast error improved to 25% and default risk accuracy to 95+%
CASE STUDY: Computer vision for preventive maintenance
We developed a vision model to predict electrical failures from thermal images
Public Technology company with multiple Data Centers
The company need to increase the frequency and quality of electrical components inspections
Developed a neural network that predicts risk of failure based on thermal images (1st prototype in 6 weeks)
Inspection frequency went from 1/year to 2/month (limited only by the ability to take new thermal pictures)