Generative AI Model Development
We build models that create text, code, images, or insights based on your business data and requirements. Whether it’s a GPT-style Large Language Model (LLM), diffusion model, or task-specific transformer, we help you develop models that deliver real business value—not just output.
Generative AI Model Replication
Want to replicate the performance of an existing open-source or third-party model on your own infrastructure? We can reproduce and adapt foundational models—like GPT-J, LLaMA, or Stable Diffusion — ensuring compliance, control, and customization over how your model behaves and learns.
Model Integration and Deployment
Your model is only as useful as its ability to integrate into your business systems. We deploy generative AI models into web apps, mobile platforms, CRMs, and internal tools. Our team ensures secure API endpoints, responsive latency, and smooth DevOps for production-grade usage.
Upgrade and Maintenance
Like any software, your GenAI model needs ongoing care. We offer continuous updates to address drift, evolving data, and edge-case handling. Whether it’s version upgrades, patch releases, or fine-tuning based on new input, we keep your model in top shape.
AI Model Fine-Tuning
We fine-tune foundation models using your business data, improving accuracy, tone, or task-specific performance. Whether it’s customer support chat, internal summarization, or predictive generation, we ensure the model learns your domain language.
AI Model Architecting
Not sure which GenAI approach is best for your use case? We help you design the architecture from the ground up—choosing between transformer types, embedding models, vector databases, inference stacks, and infrastructure models (cloud, on-prem, hybrid). You get a solution that’s performance-optimized and cost-efficient.
