Shopping cart
Your cart empty!
At Aisosys, we help you unlock the full potential of artificial intelligence through custom AI model development, fine-tuning, and seamless integration into your applications. Whether you're building a custom Large Language Model (LLM), personalizing a foundation model, or embedding intelligent capabilities via API — our team of 150+ AI experts is here to bring your AI vision to life.
From startups looking to leverage open-source models to enterprises needing proprietary solutions, Aisosys delivers highly customizable, production-ready AI systems.
Fine-tune models like GPT, LLaMA, or Claude on your proprietary data
Add domain-specific knowledge and tone for higher relevance
Enable private, secure, and tailored AI experiences
Integrate AI capabilities directly into your apps via RESTful APIs
Text generation, summarization, classification, Q&A, and more
Scalable deployment across mobile, web, and enterprise platforms
Customize models like GPT, BERT, or Stable Diffusion for your use cases
Modify hyperparameters, prompt strategies, and memory techniques
Deploy privately or in hybrid cloud environments
Implement models like Mistral, Falcon, BLOOM, or OpenAI’s GPT
Infrastructure support for model hosting (Hugging Face, AWS, Azure)
Train from scratch or leverage pre-trained models for rapid deployment
We define the right model strategy — custom training, fine-tuning, or integration — based on your data and goals.
Our data engineers clean, structure, and pre-process datasets to ensure model performance and fairness.
We choose the right architecture and pre-trained model, followed by training or fine-tuning with your data.
Every model undergoes rigorous testing to ensure high accuracy, reliability, and safety before deployment.
Fine-tuning builds on an existing pre-trained model using your domain-specific data, making it faster and cost-effective. Training from scratch is suitable for very unique use cases but requires significantly more data and resources.
Yes. We offer full model ownership and deployment options, including private hosting on your own servers or cloud accounts.
Absolutely. We work extensively with open-source models like LLaMA, Mistral, and Falcon, and integrate them securely into production systems.
We apply fairness metrics, prompt testing, performance benchmarks, and adversarial evaluations to ensure your model is safe, unbiased, and effective.
Depending on complexity, model training and integration can take anywhere from 3 to 8 weeks. We'll provide a detailed timeline after our discovery phase.