Enterprise software and K-12 SaaS developer scaling cloud and AI capabilities
Mindex is a 30-year-old Rochester-based software shop pivoting toward cloud and AI. The tech stack is heavily AWS + Azure + data platforms (Snowflake, Databricks, Spark), with active projects in infrastructure automation, IaC templating, and monitoring—a pattern typical of teams shifting from on-premises or hybrid to cloud-native operations. Current hiring is split between data roles (4 positions) and sales expansion (4 positions), paired with painful manual configuration workflows, signaling both a technical modernization push and a sales-led go-to-market effort.
Mindex develops enterprise software and cloud applications for large corporations and New York State K-12 school districts. Their flagship product, SchoolTool, is a web-based student management system built to state K-12 compliance requirements. The company operates as a custom software and professional services firm—alongside SchoolTool, they deliver cloud migration, modernization, and data architecture work to enterprise clients. Headquartered in Rochester, New York since 1994, Mindex employs 201–500 people and is expanding heavily into cloud app development and AI/ML service offerings.
AWS, Azure, Terraform, CloudFormation, SQL Server, Python, Kubernetes, Docker, Snowflake, Databricks, Spark, and Salesforce. The company is investing in infrastructure-as-code, monitoring automation, and data platform tooling.
Infrastructure automation, IaC templates for SaaS, proactive monitoring and alerting, AWS resource deployment, AI and cloud solutions, and data analytics platform automation. Current pain points include manual configuration workflows and scaling data architectures.
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Mindex'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.