We help enterprises build, customize, and optimize Large Language Models and Multimodal AI systems using proprietary text, image, audio, and video datasets. Our expertise spans data preparation, model training, fine-tuning, evaluation, and deployment for domain-specific AI applications.
From text and images to video—we build AI systems that understand your domain at depth using the most effective training methods for your data and budget.
Domain-specific LLM training, instruction tuning, SFT, RAG, RLHF, synthetic data generation, and agent training with tool usage optimization.
Object detection, classification, segmentation, visual inspection, custom image generation, and brand-specific AI model training.
Action recognition, event detection, video summarization, temporal understanding, CCTV analytics, and multimodal video reasoning.
Train models across text, images, video, audio, and documents for visual question answering, document intelligence, and multimodal search.
Efficient model adaptation by training a small number of additional parameters—lower cost, faster iterations, smaller deployment footprint.
Dynamic enterprise knowledge retrieval without retraining. Real-time updates, reduced hallucinations, and regulatory compliance alignment.
Train all model parameters using enterprise data for maximum accuracy, deep domain adaptation, and complete model ownership.
Parameter-efficient fine-tuning and RLHF for cost-effective, fast-deployment models across multiple client environments.
Real-world examples of how we help enterprises turn raw data into domain-specific AI intelligence.
Fashion brands needed to generate new collections faster while maintaining brand identity. We fine-tuned diffusion models on historical brand collections, trained LoRA adapters for seasonal styles, and combined multimodal training with product images, catalog descriptions, and runway content—accelerating design cycles by 60% and enabling hundreds of concepts in minutes.
Fashion brands needed to visualize garments in multiple fabrics without expensive photoshoots. We trained image-to-image models using fabric swatches and garment images, fine-tuned models for texture transfer, and enabled realistic fabric variations automatically—reducing photoshoot costs and accelerating product launch cycles dramatically.
Customers want to see how clothing looks before purchase. We trained virtual try-on models using catalog images, fine-tuned body and garment segmentation models, and generated realistic try-on experiences—resulting in higher conversion rates, reduced return rates, and improved customer engagement.
Brands needed marketing assets without repeated expensive photoshoots. We trained custom brand avatars, generated diverse AI fashion models with face preservation techniques, and produced campaign-ready visuals—cutting production costs by 80% and reducing campaign creation time from weeks to hours.
Fashion shows require enormous logistical investment. We trained video generation models on runway footage to create virtual catwalk experiences with high temporal consistency, enabling global digital fashion launches without physical venues—a fully virtual runway from a single garment image.
Support teams were spending excessive time answering repetitive customer queries. We fine-tuned an enterprise LLM on support tickets and product documentation, implemented RAG over telecom knowledge bases, and added agent workflow automation—achieving 65% ticket deflection and 40% reduction in response times.
Quality inspection was labor intensive and prone to human error. We trained custom vision models on defect datasets to detect scratches, missing labels, packaging defects, and color variations—automating QA with 99.8% detection accuracy and sub-10ms inspection speed per unit.
Creating product videos manually is expensive and time-consuming. We trained models using product images and descriptions to generate automated promotional videos—enabling faster marketing campaigns and scalable content generation without a production crew.
E-commerce businesses need multiple product images for marketing across dozens of contexts. We fine-tuned image generation models on product catalogs to generate contextual product photography—from lifestyle and studio shots to seasonal campaigns and marketplace-ready images—reducing photography expenses and accelerating product onboarding.
Thousands of SKUs require unique, SEO-optimized descriptions—an impossible task at scale for human writers. We fine-tuned LLMs on product catalogs using product images, specifications, and customer reviews to generate accurate, on-brand descriptions automatically, improving search rankings and accelerating catalog creation.
From data preparation to deployment—we manage the full model training lifecycle so you can focus on business outcomes. Let’s build intelligence that truly understands your domain.