Enterprise Minds is a services-led automation and application engineering firm built around Salesforce, SAP, and Microsoft D365 implementations. The tech stack is heavily front-end and Salesforce-native (React, Node, Express, Salesforce Einstein, CPQ, Lightning Web Components), paired with testing infrastructure (Selenium, UFT, Provar, Cypress). Hiring is engineering-heavy with senior-skewed composition and accelerating velocity in India, while pain points cluster around data quality, ERP transformation, and scaling delivery — typical of a growing services firm managing complex customer implementations.
Enterprise Minds, founded in 2017, operates as a privately held automation and application engineering services provider with offices in San Ramon, California. The company holds SAP Partner certification and serves mid-market and enterprise customers on digital transformation initiatives, particularly around Salesforce (Sales Cloud, Service Cloud, CPQ, Einstein), Microsoft D365, and data warehousing implementations. Core service lines include enterprise data warehouse testing, automation test framework development, and cloud ERP deployments. The organization emphasizes agile delivery, community-driven talent development, and innovation labs structured around vertical specializations.
Front-end: React, Vue, Node.js, Express, TypeScript, GraphQL. Salesforce: Lightning Web Components, Aura, Apex, Einstein, CPQ, Sales Cloud, Service Cloud. Testing: Selenium, UFT, Provar, Cypress, Jest, Mocha. Analytics: Power BI, Cognos. Cloud: Azure. Data: MongoDB.
Active projects include enterprise data warehouse testing, automation test framework development, and D365 Business Central & Finance & Operations implementations.
Enterprise Minds, Inc'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.