Beyond Simple Chains: Building Stateful Agents
Standard AI agent frameworks are great for linear tasks, but real-world problems require loops, state memory, and dynamic decision-making. This is where simple chains fail.
ActiveWizards are experts in LangGraph. We use its graph-based structure to build sophisticated, state-aware agentic systems that can iterate, self-correct, and collaborate effectively.
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Case studies
Top data science and machine learning consultants and developers doing their best to make your ideas come true.
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Machine Learning Spark Project
Data governance software for the predicting level of confidentiality and business category content.
Healthcare AI Startup Project
Abnormal behavior detection tool applying log activity data of hospital employees and patients.
Video Recognition AI Platform
Face Recognition component integrated with a user dashboard for real-time video capturing.
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