Waverley Software Tech Stack

Custom software and AI engineering for FinTech, Healthcare, and Enterprise

IT Services and IT Consulting Palo Alto, CA 201–500 employees Founded 1992 Privately Held

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.

Tech Stack 85 technologies

Core StackJavaScript TypeScript Python React Angular Vue Node.js Express FastAPI Django OpenAI Anthropic LangChain Pinecone Weaviate Docker Kubernetes Jira Confluence Azure DevOps Figma Miro Selenium Cypress Playwright Gemini LlamaIndex Qdrant Ragas TruLens+55 more

What Waverley Software Is Building

◆Challenges

Mitigating hallucinations in ai models
Prompt injection vulnerabilities
Ensuring reliability of ai products
Performance and cost optimization
Automation opportunities in manual testing

▲Active Projects

Generative ai integration platform
Rag pipeline implementation
Custom ai applications
Ai workflow ci/cd pipeline automation
Llm evaluation framework implementation
Ai security testing for prompt injection
Rag architecture development
Multi-agent system implementation
Semantic search capability development
Ng911 public test suite

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering

Data

Product

Seniority

Senior

Mid

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About Waverley Software

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.

HeadquartersPalo Alto, CA

Company Size201–500 employees

Founded1992

Frequently Asked Questions

What AI and ML tools does Waverley Software use?

OpenAI, Anthropic, Gemini, LangChain, LlamaIndex for LLM orchestration; Pinecone, Weaviate, Qdrant for vector storage; Ragas and TruLens for LLM evaluation and monitoring.

What is Waverley Software working on right now?

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.

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How this profile is built

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.