TechBlocks pairs management consulting with platform engineering to embed AI across enterprise operations. The tech stack spans .NET, React, Python, and multi-cloud (AWS, Azure, GCP), with active work on application monitoring, data platforms, and legacy framework migrations — revealing an org balancing greenfield AI work with substantial modernization debt. Hiring is concentrated in engineering and data roles at senior levels, and the company is adopting Model Context Protocol while retiring Angular, signaling a shift toward AI-native tooling.
TechBlocks is an Enterprise AI Operating partner headquartered in Houston that works with large, operationally complex organizations in regulated sectors—retail, energy, financial services, healthcare, mining, and ISVs. The firm moves beyond traditional consulting or staff augmentation by owning the design and delivery of AI-enabled platforms, data foundations, and delivery systems. Their approach sequences AI adoption in three stages: enablement, augmentation, and AI-native core capabilities. The org operates across application modernization, cloud infrastructure, data governance, and managed delivery at global scale, with engineering and data teams anchoring a 501–1,000 person operation.
Primary: .NET Core, React, C#, ASP.NET, SQL Server, PostgreSQL, JavaScript, TypeScript. Infrastructure: AWS, Azure, GCP. Testing: Selenium, JUnit, Cucumber. Currently adopting Model Context Protocol and migrating off Angular.
The company is actively hiring in India and Canada, in addition to the United States headquarters in Houston, Texas.
TechBlocks'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.