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Remove the constant overhead required to set up, monitor, and adjust cost-related alerts and policies across the entire organization.

Our flexible cost guardrails adapt to various business needs, whether you're a startup experimenting with AI or an enterprise managing HPC workloads.
Startups can’t afford runaway costs, but developers still need to experiment, which can mean spinning up powerful (and expensive) resources like GPUs for AI/ML models. Admins can use emma’s guardrails to create a sandboxed R&D environment with a strict, fixed budget. This gives developers the freedom to innovate without the risk of accidentally leaving costly resources running over the weekend.
Use guardrails to set usage limits on auto-scaling resources. For example, you can cap the maximum number of vCPUs or the amount of provisioned storage for a database to ensure that infrastructure scales efficiently and in line with forecasts, preventing runaway costs during growth spurts.
Working on AI/ML or high-performance computing (HPC) requires extremely expensive GPU and compute resources. Enterprises can use emma’s guardrails to create strict consumption quotas on these specific resource types (vCPU, GPU, vRAM) for different business units, ensuring that every resource is used efficiently and doesn't lead to uncontrolled spending.
Efficiently manage your cloud resources to maximize value, minimize waste, and keep every expense aligned with business goals.
Orchestrate your cloud infrastructure for best results and ROI from a user-friendly, single platform - for maximum performance.