Real estate developer integrating LLMs and RAG into operations and customer experience
AssetWise is a Bangkok-based real estate developer (condominiums, single-family homes, townhomes) now deploying AI heavily across the stack—Hugging Face, PyTorch, LangChain, LlamaIndex, OpenAI, Anthropic, and vector databases (FAISS, Pinecone, Weaviate)—to build RAG pipelines and embed LLMs into live applications. The tech stack reveals a company moving beyond traditional real estate workflows into AI-driven customer engagement and internal process optimization. Hiring is concentrated in ops and HR (succession planning, organizational development) with accelerating velocity, signaling scaling challenges typical of legacy operators adopting AI.
Notable leadership hires: Head of Sales, Head of Organizational Development
AssetWise Public Company Limited is a Bangkok-headquartered real estate developer founded in 2005, listed publicly, operating a portfolio of residential projects including condominiums (low-rise and high-rise) and horizontal properties (single houses, townhomes, home offices) across Thailand, with a project in Pattaya. The company operates as a holding company with subsidiaries spanning real estate development, leasing, consignment sales, payment collection services, digital assets, technology, health and beauty, and lifestyle entertainment. Current operational focus includes meeting sales targets in a competitive market, improving client experience coordination, reducing costs, and addressing organizational gaps through succession planning and leadership development.
AssetWise deploys Python, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, OpenAI, Anthropic, and vector databases (FAISS, Pinecone, Weaviate) to build RAG pipelines and integrate LLMs into applications. Infrastructure runs on AWS, GCP, and Azure.
AssetWise is actively developing a condominium project in Pattaya and managing a portfolio of residential properties across Thailand, including both vertical (condominiums) and horizontal (single houses, townhomes, home offices) segments.
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