AI That Works at Scale

The name “FactoLab” reflects our unique approach, combining the precision, efficiency, and timely delivery of a “factory”—where projects are completed with clear timelines and structured processes—with the innovation and experimentation of a “lab,” fostering creativity and exploration. This fusion of practicality and ingenuity allows us to accelerate delivery of tailored, cutting-edge AI solutions efficiently, meeting the diverse and dynamic needs of our clients while ensuring every project is executed with reliability and at scale.

We develop custom AI solutions tailored to the unique needs of each organization. Our expertise covers machine learning, deep learning, natural language processing (NLP), computer vision, and Generative AI. We also employ advanced techniques such as Retrieval-Augmented Generation (RAG), embeddings for classification, clustering, and retrieval, optimized vector search strategies across diverse data sources, and NL2SQL (natural language to SQL). By combining deep technical expertise with a strong understanding of different industry domains, we seamlessly integrate state-of-the-art models like GPT, Claude, and Gemini into end-to-end solutions that maximize business value. Leveraging vector store technologies, we enable efficient information management and precise semantic search, aligned with operational needs and strategic goals. Whether the focus is workflow automation, enhancing user experience, or generating actionable insights, our solutions are built to deliver measurable impact. Throughout the development process, we place strong emphasis on Responsible AI — ensuring transparency, risk management, and continuous oversight to deliver reliable, sustainable, and real-world implementations.

Managed AI FinOps Service We enable organizations to assess the long-term value of a model, refine components to reduce consumption costs, and recommend new features or components to drive further cost reductions.​ Managed AIOps Service We streamline daily AI operations, optimize pipelines, detect input drifts, and enable automatic model training and adjustments based on new data.​

Our AI consulting and workshops empower organizations at every stage of their AI journey. We offer an accessible introduction to AI’s transformative potential, covering fundamental concepts and real-world impacts. Our workshops guide teams in developing a clear AI strategy, co-creating short and long-term roadmaps, and designing tailored solutions to address specific business challenges. We also provide AI training, equipping employees and managers with advanced tools to navigate and leverage AI in their daily work.

Architecture & Setup: We design and implement cloud-based environments tailored for machine learning (ML) and generative AI (GenAI) workloads. This includes provisioning compute, storage, and networking resources on leading public cloud platforms, integrating open-source tools for model development, and configuring data pipelines to support training, validation, and inference at scale. Environments are customized to reflect industry-specific requirements, supporting capabilities such as structured and unstructured data handling, fine-tuning large language models, and advanced techniques like Retrieval-Augmented Generation (RAG). Emphasis is placed on modular design, reproducibility, security, and cost management. Ongoing Management & Optimization: We provide ongoing management of the AI development environment, ensuring it remains secure, compliant, and aligned with evolving workloads. This includes monitoring resource usage, version-controlling models and pipelines, managing experiment metadata, and enabling CI/CD practices for ML and GenAI deployments. We also assist in model governance, usage auditing, and performance tuning—ensuring that environments support responsible AI development while maintaining operational efficiency and scalability.