AI/ML

Use AI and machine learning to automate tasks, optimize processes, and unlock actionable insights.

Smarter decisions powered by AI.

AI/ML

Harness the power of AI to transform how your business operates. We design intelligent solutions and machine learning models tailored to your needs, enabling automation, uncovering patterns in data, and driving smarter, faster decisions.

AI Frameworks & Tools

TensorFlow

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TensorFlow is a powerful open-source framework for building and deploying machine learning and AI models.

PyTorch

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PyTorch is a dynamic, open-source framework for building and optimizing machine learning and deep learning models.

Keras

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Keras is a user-friendly, high-level deep learning API that simplifies building and training neural networks.

AWS SageMaker

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AWS SageMaker is a comprehensive machine learning platform that simplifies building, training, and deploying ML models at scale.

OpenAI

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OpenAI develops cutting-edge AI models and tools, including natural language processing and generative AI, transforming how businesses interact with technology.

H2O.ai

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H2O.ai is an advanced, open-source AI and machine learning platform designed to simplify building and deploying predictive models.

Google Vertix AI

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Google Vertex AI is a unified machine learning platform that streamlines the development, deployment, and scaling of AI models.

GitHub Copilot

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GitHub Copilot is an AI-powered coding assistant that accelerates development by generating code suggestions and automating repetitive tasks.

Google Gemini

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Google Gemini is a cutting-edge multimodal AI model designed to process and generate text, images, audio, video, and code.

Nvida CUDA

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NVIDIA CUDA is a parallel computing platform and API that accelerates processing power for AI, machine learning, and high-performance computing.

Technical Specifications

Model Training

Using NVIDIA CUDA for GPU-accelerated training and deployment, we reduce the training time significantly for large datasets.

Multi-cloud AI Pipelines

Utilize platforms like Vertex AI (Google Cloud) and SageMaker (AWS) for deploying models across scalable cloud environments.

AI at the Edge

Implement machine learning models optimized for edge devices using TensorFlow Lite, allowing real-time inference on IoT systems.

Security Standards

Data Encryption

Ensuring secure training environments by encrypting data in transit and at rest using AES-256.

Model Governance

Implementing AI model explainability with tools like LIME and SHAP to ensure that models behave transparently and responsibly.

Secure AI APIs

API authentication using OAuth2 and ensuring robust data handling policies in line with GDPR and CCPA.