Make AI useful enough, bounded enough, and dependable enough for real operations.
EngineGrids focuses on systems that touch customers, records, payments, approvals, and recurring operations.
EngineGrids is where AI systems live and work.
We build the operating platform that lets AI move beyond demos and into governed customer, payment, record, approval, and recurring business work.
Real AI work needs behavior the business can understand.
The platform keeps actions, installs, audits, and runtime behavior on a governed path teams can inspect.
The business should know what happened and why it was allowed.
Deterministic actions, visible approvals, and durable audit trails make AI work easier to explain before and after launch.
The product is built around useful outcomes, not AI theater.
The goal is simple: help businesses run better systems that protect revenue, keep work moving, and remain dependable as AI does more.
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.
We are building the operating home for trusted AI work.
EngineGrids is designed for the moment when AI starts carrying meaningful responsibility. That means the platform has to make launches clearer, actions bounded, integrations durable, and outcomes easier to review after work happens.
AI work needs a place to run, not another disconnected demo surface.
EngineGrids gives teams a coherent platform model for launches, apps, services, approvals, audits, and real-system work.
AI should help teams do more without making the business guess.
Useful autonomy means teams can expand responsibility without accepting blind faith, brittle one-off builds, or invisible behavior.
The platform is built around useful outcomes, not AI theater.
EngineGrids is built around useful outcomes: protecting revenue, keeping work moving, and helping teams improve systems they can trust.
The business should know what happened and why it was allowed.
Visible approvals, deterministic actions, and durable records make AI work easier to explain before and after launch.
The fastest way to understand EngineGrids is to see the platform at work.
Start with the product, review the trust model, or contact us with the business work you want AI to help run.
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 EngineGridsSee the platform behind the company.
The fastest way to understand EngineGrids is to see how the platform turns AI capability into governed business work.