Custom Generative AI solutions using technologies from AWS, OpenAI, Google, Microsoft, Anthropic, Cohere, LangChain and others.

• Established and effective patterns and libraries
• Guided AI/ML model selection and fine-tuning
• Embedding model tuning and custom RAG sources
• Agentic Workflow orchestration for complex requirements
• Effective guardrails and prompt engineering

Hands-on AI Model training and tuning

• Training and customization using AWS Sage Maker
• Alternative Kubernetes based model training
• Foundational and Embedding model tuning
• Established patterns for sourcing and refining training data

Accelerate AI adoption with TrueMark’s pre-built, custom-trained AI models. Designed for specific industry use cases, our models leverage advanced machine learning techniques to deliver accurate, efficient, and scalable AI solutions. Whether for automation, data analytics, natural language processing, or predictive insights, our AI models are optimized for seamless integration and rapid deployment.

Enhance AI performance with TrueMark’s tuned, pre-configured Retrieval-Augmented Generation (RAG) sources. Our optimized RAG pipelines improve knowledge retrieval, accuracy, and response relevance for AI-driven applications. Designed for seamless integration, these pre-built sources accelerate development and ensure high-quality outputs for enterprise AI solutions. Power your AI models with reliable, efficient, and scalable RAG sources

TrueMark’s AI engineering experts work alongside your team to design, build, and deploy AI solutions tailored to your business needs. From model development and fine-tuning to infrastructure optimization and real-time deployment, we take a hands-on approach to ensure scalable, high-performance AI applications. Whether you need custom AI models, RAG implementations, or end-to-end AI system integration, TrueMark delivers practical, results-driven AI engineering.