Enterprise software for marketing and HR engagement via AI bots and mobility
Web Spiders builds enterprise software across marketing automation, event management, and HR—anchored on AI-driven chatbots and mobile-first design. The tech stack reveals a company in transition: heavy Python/data-infrastructure investment (Databricks, PySpark, Azure Data Factory, Elasticsearch) alongside established platforms (SAP, Power BI, Tableau) suggests they're operationalizing AI features on top of legacy ERP integrations. Current hiring is engineering and data-heavy, focused on LLM applications, pricing engines, and data pipeline architecture—signaling a shift from consulting-services delivery toward productized AI automation.
Web Spiders is an enterprise software company headquartered in San Jose, California, with international offices in London, Singapore, and India. The company serves Fortune 2000 and government agencies across three main product lines: e2m.live (event management platform), ZOE (AI-powered marketing automation), and Gecko (video interview bot). Beyond products, Web Spiders offers digital marketing services, content production, and custom development. The organization operates at 201–500 employees and is structured around both product engineering and consulting delivery.
Python, PostgreSQL, MySQL, FastAPI, Django REST Framework, Next.js, Docker, GitLab CI/CD for backends; Databricks, PySpark, Azure Data Factory for data pipelines; Power BI and Tableau for analytics; OpenAI and Google Gemini for LLM features; AWS and GCP for cloud infrastructure.
LLM-powered applications, auto-proposal generation, AI image generation pipelines, pricing engine architecture, end-to-end data pipelines, SAP ERP data ingestion, and BI dashboards—focused on operationalizing AI within marketing and HR workflows.
Web Spiders'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.