Custom software and AI engineering for FinTech, Healthcare, and Enterprise
Waverley Software is a 30-year-old software engineering firm building custom products and AI solutions in-house for Fortune 500 and startup clients across FinTech, Healthcare, Energy, and Robotics. The tech stack reveals a mature, LLM-forward operation: JavaScript/TypeScript/Python across frontend and backend, paired with OpenAI, Anthropic, Gemini, and vector databases (Pinecone, Weaviate, Qdrant), plus containerization and orchestration (Docker, Kubernetes). Active projects span RAG pipelines, multi-agent systems, LLM evaluation frameworks, and AI security testing—indicating they're solving production-grade generative AI reliability challenges, not exploratory work.
Waverley Software operates as a full-service software engineering and consulting firm headquartered in Palo Alto, CA. They build custom software products, mobile and web applications, embedded systems, and AI/chatbot solutions for enterprise clients and startups across vertical markets including FinTech, Healthcare, Energy, Smart Home, and Robotics. All technical talent is retained in-house—they do not outsource—and they operate with both the speed of a consulting firm and the depth of an internal engineering organization. Current hiring is engineering-heavy, skewing senior and concentrated on AI/RAG/LLM implementation work.
OpenAI, Anthropic, Gemini, LangChain, LlamaIndex for LLM orchestration; Pinecone, Weaviate, Qdrant for vector storage; Ragas and TruLens for LLM evaluation and monitoring.
Generative AI integration platforms, RAG pipelines, custom AI applications, LLM evaluation frameworks, AI security testing (prompt injection mitigation), multi-agent systems, and semantic search capabilities.
Waverley Software's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.