AI Tech Stack
Cutting-edge technologies and tools powering our AI solutions. From TensorFlow and PyTorch to Kubernetes and cloud platforms, we leverage the industry's most advanced technologies to deliver production-ready AI systems that scale with your business.
Machine Learning Frameworks
The foundation of our AI solutions. We leverage industry-leading frameworks to build, train, and deploy machine learning models that deliver real business value.
TensorFlow
Google's open-source platform for machine learning and deep learning applications. We use TensorFlow for building and deploying scalable ML models.
PyTorch
Facebook's dynamic neural network framework. Perfect for research, prototyping, and production deployment of complex AI models.
Scikit-learn
Comprehensive machine learning library for Python. Ideal for traditional ML algorithms, data preprocessing, and model evaluation.
Data & Database Technologies
Robust data infrastructure powers every AI solution. We work with both structured and unstructured data to ensure your AI models have the quality data they need to perform.
PostgreSQL
Advanced open-source relational database system. Perfect for structured data storage, complex queries, and data integrity.
MongoDB
NoSQL document database for handling unstructured and semi-structured data. Excellent for big data applications and real-time analytics.
Pandas
Powerful data manipulation and analysis library for Python. Essential for data preprocessing, cleaning, and feature engineering.
DevOps & Infrastructure
Seamless deployment and scaling of AI solutions. Our infrastructure expertise ensures your AI models run reliably in production environments.
Kubernetes
Container orchestration platform for deploying, scaling, and managing containerized applications. Essential for ML model deployment.
Docker
Containerization platform for packaging applications and their dependencies. Ensures consistent deployment across environments.
MLflow
Open-source platform for managing the ML lifecycle. Tracks experiments, manages models, and deploys ML applications.
Cloud Platforms
Flexible cloud solutions that scale with your business. We work across all major cloud providers to deliver AI solutions that fit your infrastructure preferences.
AWS
Amazon Web Services provides comprehensive cloud infrastructure and AI services including SageMaker, EC2, and Lambda for ML workloads.
Google Cloud
Google Cloud Platform offers AI Platform, BigQuery, and Vertex AI for building, training, and deploying ML models at scale.
Civo
Kubernetes-native cloud platform offering simple, fast, and cost-effective infrastructure. Perfect for deploying AI workloads with Kubernetes-native tools and services.
Additional Tools & Technologies
Specialized tools that enhance our AI capabilities. From big data processing to real-time monitoring, we use the right technology for every challenge.
Apache Spark
Unified analytics engine for large-scale data processing. Perfect for big data analytics and distributed machine learning.
Elasticsearch
Distributed search and analytics engine. Excellent for log analysis, full-text search, and real-time data exploration.
Grafana
Open-source analytics and monitoring platform. Essential for visualizing ML model performance and system metrics.
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