Generative AI

We integrate OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), and open-source LLMs (LLaMA, Mistral) into your existing applications or new products. This includes API setup, prompt design, context management, token optimization, and error handling — so your AI features work reliably in production.

We build RAG pipelines that connect LLMs to your documents, databases, wikis, and knowledge bases using vector search (Pinecone, Weaviate, pgvector). Users can ask natural language questions and receive accurate, citation-backed answers from your own content — not generic AI hallucinations.

We develop custom content generation tools for blogs, product descriptions, social media posts, email campaigns, ad copy, and reports. These platforms maintain your brand voice, support bulk generation, and integrate with your CMS, e-commerce platform, or marketing stack.

We fine-tune pre-trained models on your proprietary data to improve accuracy, tone, and domain-specific performance. This is ideal for legal, medical, finance, or technical use cases where generic LLM responses are not precise enough. We handle data preparation, training, evaluation, and deployment.

We integrate image generation models (DALL-E 3, Stable Diffusion, Midjourney API) into your products for automatic visual content creation, product image generation, marketing material creation, and creative tools. We also build image editing pipelines with inpainting, style transfer, and background replacement.

We replace traditional keyword search with semantic search powered by embeddings and vector databases. Users find what they mean, not just what they type. This improves product discovery, document search, support article suggestions, and internal knowledge retrieval across enterprise tools.