Durani AI Partner™ is a specialized consulting and development service in Artificial Intelligence for businesses seeking to strategically and optimally implement AI. From customizing pre-trained models to deploying scalable AI solutions, Durani AI Partner™ helps you maximize the performance and efficiency of your AI infrastructure.
Our service covers everything from fine-tuning foundational models to creating Custom GPTs tailored to specific business needs. We evaluate inference architectures, computational resource consumption, and scalability strategies to ensure efficient and sustainable deployments.
Through advanced methodologies, we analyze the feasibility of AI integration within your processes, minimizing risks and optimizing the cost-benefit ratio. Durani AI Partner™ not only provides you with a detailed technical perspective but also a clear roadmap for effectively adopting AI within your organization.
Durani AI Partner™ also specializes in integrating AI with existing enterprise infrastructures, ensuring compatibility with legacy systems, databases, and critical operational workflows. We implement optimized machine learning pipelines, manage inference in cloud, edge, or hybrid environments, and design strategies to optimize latency and computational consumption.

OpenAI
Leading platform in advanced language models, including GPT-4 and DALL·E, used for text generation, natural language processing, and generative AI.

Hugging Face
Open-source AI model ecosystem providing tools for fine-tuning, inference, and training of NLP and computer vision models.

TensorFlow
Machine learning framework developed by Google, used to build, train, and deploy AI models at scale.

PyTorch
Deep learning library used for research and production of artificial intelligence models in NLP, computer vision, and data analysis.

LangChain
Framework specialized in creating applications based on language models, facilitating the integration of AI into business systems.

MLflow
Machine learning management platform for experiment tracking, model deployment, and AI lifecycle management in production.

AWS Bedrock
AWS service that provides access to foundational models and their deployment in enterprise infrastructures with security and scalability.

Google Vertex AI
Google's cloud-based AI platform facilitating the building, training, and deployment of machine learning models with advanced autoML capabilities.

Deepseek
Deepseek is an open-source AI language model enabling the creation of advanced chatbots with natural conversation capabilities.

Databricks
Data analytics and machine learning platform based on Apache Spark, designed for developing and operating AI models in enterprise environments.

ONNX
Open-source format enabling interoperability between AI frameworks such as TensorFlow and PyTorch, optimizing model deployment in production.

Meta LLaMA
Set of open-source language models developed by Meta, used for text generation, semantic understanding, and data processing.