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At Cyberx Infosystem, we help forward-thinking companies harness the power of Artificial Intelligence (AI) and Machine Learning (ML) to unlock new opportunities, automate decision-making, and gain a strategic edge. Whether you're looking to build predictive models, automate operations, or deliver personalized experiences, our AI & ML solutions are tailored to your business goals.
With a team of data scientists, AI engineers, and solution architects, we design, develop, and deploy end-to-end intelligent systems that scale with your data and drive measurable outcomes.
We build custom AI models that adapt to your unique business context. From NLP to computer vision, we develop domain-specific models that deliver real-world results.
Use Cases: Intelligent automation, predictive analytics, behavior analysis, product recommendations
Leverage your historical and real-time data with machine learning algorithms to predict trends, detect anomalies, and personalize user experiences.
Platforms: Scikit-learn, TensorFlow, PyTorch, XGBoost, H2O.ai, Amazon SageMaker
We help you extract meaning and insights from human language using cutting-edge NLP models.
Use Cases: Customer support, document automation, feedback analysis, knowledge search
We develop advanced computer vision systems that understand images and video to automate tasks and generate insights.
Frameworks: OpenCV, YOLO, Detectron2, MediaPipe, TensorFlow Lite
Turn raw data into powerful insights with AI-driven forecasting and decision support systems.
Tools: Prophet, ARIMA, LSTM networks, BigQuery ML
Our experts help you define your AI vision, build the right data strategy, and guide implementation for maximum ROI.
Ideal For: Enterprises exploring AI transformation or startups building AI-first products
Python, R, Julia, Java, Scala
TensorFlow, PyTorch, Keras, Scikit-learn, ONNX
AWS SageMaker, Azure ML, Google Vertex AI, Databricks, Apache Spark
Airflow, Kafka, Snowflake, BigQuery, Hadoop, Elasticsearch
Our AI & ML services cater to a wide range of industries and domain-specific challenges:
Fraud detection, credit scoring, algorithmic trading
Medical imaging, patient risk analysis, clinical trial prediction
Personalized recommendations, dynamic pricing, customer segmentation
Demand forecasting, route optimization, inventory planning
Predictive maintenance, defect detection, process automation
Adaptive learning systems, AI tutors, skill-based assessments
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