Monolayer
Monolayer is an autonomous execution layer that converts code or plain-language prompts into running, self-managed systems within a customer's own AWS account. The platform handles deployment, scaling, recovery, and system health monitoring by continuously reading runtime feedback and adjusting without manual intervention. It eliminates the need for separate operational toolchains by unifying setup, deployment, and maintenance into a single continuous system.
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Getting software live remains a manually intensive process spanning separate tools for deployment, scaling, recovery, and system health monitoring. Even with modern code, teams must continually make operational decisions and perform manual work to keep systems running, leaving a gap between writing software and operating it reliably.
Solution
Monolayer acts as an execution layer that takes code or intent and produces a running, self-managed system within the customer's own cloud. The platform observes a change or prompt, determines the required compute and data logic, validates the next state against drift and safety checks, and deploys directly into the cloud account. Once live, it continuously reads runtime feedback—including load and recovery signals—and moves toward the next step autonomously, learning from feedback to adjust without manual intervention. Users work from intent rather than infrastructure, expressing relationships between components instead of managing infrastructure directly.
Target Audience
Primary users are engineering and platform teams at companies running cloud-native workloads in AWS who want to reduce manual operations and achieve self-managing infrastructure.
Features
- Converts repository code or plain-language prompts into deployable, running infrastructure
- Performs pre-deployment validation against drift and safety constraints before any change moves to production
- Installs directly into the customer's own AWS account, keeping data and workloads within their cloud boundary
- Monitors runtime state continuously, including load and recovery signals, to trigger automatic scaling and self-healing actions
- Eliminates the need for separate setup, deployment, and maintenance toolchains by unifying them into a single autonomous execution layer
- Supports connecting repositories from GitHub or GitLab and linking components such as data, services, and events