AI has reached real business work
Companies need a place for AI systems to run inside customer, revenue, operations, and internal workflows without becoming hidden side projects.
EngineGrids exists because AI work needs a real operating platform.
Businesses are moving past experiments. The next question is where AI systems live, how they touch real systems, and how teams keep the work understandable after launch.
Built from infrastructure discipline
EngineGrids is shaped by distributed systems, cloud infrastructure, platform partnerships, and production software experience.
Make the operating model inspectable
The platform uses durable state, runtime grids, marketplace capabilities, and reviewable action paths instead of disposable integration glue.
Help companies keep the AI systems they launch
The goal is not a clever demo. It is dependable AI work the business can measure, review, and keep improving.
Cashton ColemanFounder & CEO
Cashton Coleman founded EngineGrids after decades spent building distributed systems, web-scale software, and cloud businesses for demanding production environments. Before EngineGrids, he founded ClearDB, built the company from the ground up, secured strategic partnerships with Salesforce, Microsoft, Amazon Web Services, and IBM Cloud, onboarded major enterprise customers, scaled the platform globally, raised millions in funding, and sold the company in 2019.
That operating experience matters. EngineGrids was founded after agentic AI stopped looking like a technical trend and started looking like a permanent shift in how businesses will operate. The company reflects his view that AI systems need the same kind of durable infrastructure, bounded execution, and auditability expected from serious production platforms.
View LinkedInBuilding distributed systems and cloud infrastructure since 1999.
Founder of ClearDB, a globally distributed DBaaS used by 250,000+ users.
Strategic partner to Salesforce, Microsoft, AWS, and IBM Cloud.
Infrastructure lead for major enterprise deployments at scale.
The category is shifting from AI demos to AI operations.
EngineGrids is building for the moment when AI systems need to live inside real companies, with ownership, capacity, approvals, billing, marketplace capabilities, and operating history attached.
Give AI systems an operating home
A subscription workspace brings solutions, grids, providers, marketplace entitlements, billing, capacity, and records together.
Build for the long horizon
Important work needs maintainable systems, visible boundaries, and records that survive the first launch.
Start with workflows customers already need
Follow-up, support, routing, billing, and coordination work gives teams a practical first system to judge.
Define the operating platform for AI work
As AI touches more work, the durable platform around it becomes as important as the model itself.
Continue with the company context that fits your role.
Media, investors, partners, and customers need different views of the same platform story.
See the operating platform
See how subscription workspaces, runtime grids, marketplace capabilities, and operating records fit together.
See the platformUnderstand the trust model
Review how EngineGrids keeps important actions bounded, explainable, and easier to inspect.
Review trustTalk with EngineGrids
Tell us what you are trying to build, operate, or improve and we will help route the conversation.
Contact EngineGridsBuild with the platform made for AI systems that do real work.
Start with one valuable workflow, connect the systems behind it, and keep the operating path visible.