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At techBean, we help companies unlock the power of artificial intelligence and machine learning to solve real-world problems, automate decisions, and uncover business insights. From intelligent recommendation systems to predictive analytics, our AI/ML solutions are custom-built to fit your industry, data, and growth strategy.
Whether you’re just exploring AI or ready to scale, we offer full-cycle development—from data collection and model training to deployment and monitoring.
Innovation drives everything we create. From concept to execution, we deliver smart, scalable solutions that grow with your business.
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Use historical and real-time data to forecast customer behavior, sales trends, demand patterns, and risks—enabling faster, more informed decision-making.
We build AI tools that understand and process human language—from chatbots and voice assistants to sentiment analysis and text classification.
We create AI systems that can “see”—including image classification, object detection, OCR, and facial recognition—for industries like retail, healthcare, and security.
Increase engagement and sales with intelligent, personalized recommendation systems. Perfect for eCommerce, content platforms, and learning apps.
Our data scientists develop custom ML models using Python, TensorFlow, PyTorch, and Scikit-learn—tailored to your business objectives and dataset.
We help you integrate AI into your existing software systems with APIs and microservices—ensuring models are scalable, secure, and production-ready.
Start with a discovery session. We’ll help identify high-impact use cases, assess your data readiness, and suggest the best AI strategy for your business.
We’ve worked on AI projects in retail, finance, healthcare, logistics, edtech, and real estate. AI is useful anywhere decisions are based on patterns in large data sets.
Not necessarily. Some models work with small datasets or can be pre-trained. We’ll help assess your data and recommend the right approach—custom or off-the-shelf.
Yes. We build AI-powered microservices and APIs that plug into your web, mobile, or desktop applications without disrupting current operations.
We use Python, TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn, and cloud tools like AWS SageMaker and Google AI Platform.
Timelines depend on complexity. A simple chatbot may take 3–4 weeks, while a custom computer vision or predictive analytics system may take 2–3 months.
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