Coasty

Product Introduction

1. Definition: Coasty is an AI agent infrastructure platform (technical category: virtual machine orchestration for AI workloads) that provisions dedicated, ephemeral virtual machines (VMs) for individual AI agents.
2. Core Value Proposition: It eliminates security risks and performance degradation in shared environments by providing true hardware-level isolation for AI agents, undercutting major cloud providers on cost while being purpose-built for agentic workflows like code execution and browser automation.

Main Features

1. Isolated Virtual Machines:
   Each AI agent operates in a dedicated VM (not containers), using lightweight virtualization (e.g., KVM/QEMU) for kernel-level separation. VMs spin up on-demand, execute tasks in sandboxed environments, and terminate post-task to prevent residual data exposure.
2. Automatic VM Switching:
   Dynamically allocates new VMs per task via orchestration APIs. Uses pre-configured environment templates (Docker, Selenium) to reduce latency during context shifts between workflows.
3. Persistent Storage:
   Network-attached storage (likely NFS or cloud block storage) retains files/projects across sessions. Shown in directory structures like my-app/src for codebases and Documents/Data for datasets.
4. Unlimited Requests & Web Search:
   Allows unlimited AI inferences and web searches within allocated agent-time quotas. Integrates with headless browsers (Selenium) for real-time data extraction without rate limits.

Problems Solved

1. Pain Point: Mitigates "blast radius" risks in shared AI environments (e.g., compromised agents breaching neighboring workloads) and "noisy neighbor" performance issues.
2. Target Audience:
   • AI engineers deploying multi-agent pipelines
   • Developers automating browser tasks (e.g., data scraping)
   • Quant researchers running backtesting/trading scripts
   • RPA teams handling sensitive data workflows
3. Use Cases:
   • Secure execution of untrusted AI-generated code
   • Parallel web scraping with IP isolation
   • Financial arbitrage analysis requiring clean environments
   • End-to-end task automation (e.g., spreadsheet analysis → report generation)

Unique Advantages

1. Differentiation:
   Unlike AWS/GCP (billing per VM-hour) or container pools (shared kernels), Coasty’s ephemeral VMs cost less for bursty workloads and offer stronger isolation. Benchmarks show 82% task success (OSWorld) vs. 72.6% for GPT-5-based agents.
2. Key Innovation:
   Agent-optimized orchestration with sub-second VM provisioning, integrated development tooling (pre-loaded Python/Docker), and usage-based pricing (agent-time minutes vs. hourly compute).

Frequently Asked Questions (FAQ)

1. How does Coasty's isolation improve AI agent security?
   Dedicated VMs ensure hardware-enforced separation between agents, preventing cross-task data leaks or exploits—critical for executing untrusted AI-generated code.
2. What AI workloads benefit most from Coasty?
   Browser automation, multi-step coding tasks, and data pipelines requiring clean environments (e.g., financial data extraction, live arbitrage research).
3. How does Coasty's pricing undercut AWS/GCP?
   Charges only for active agent-time (e.g., $19 for 20 min/month), not idle VM hours, with storage/networking included—costing 3-5x less for short-lived tasks.
4. Can Coasty handle persistent data across sessions?
   Yes, network-attached storage preserves files between VM sessions, supporting ongoing projects like code repositories or datasets.
5. Is Coasty suitable for enterprise-scale AI deployments?
   Enterprise tier offers SLA guarantees, SSO, and custom integrations for deploying secure, auditable agent fleets in regulated industries.