
CloudCruise
CloudCruise · Other
CloudCruise is a browser automation platform that turns business processes into deterministic workflows, with AI agents that build and repair them for healthcare portals and EHRs.

About CloudCruise
What Is CloudCruise
CloudCruise is a browser automation platform for teams that have to operate web portals no API can reach. Payer portals, EHR screens, credentialing databases. The work happens inside a browser, and until now someone had to click through it.
Most browser agents handle that by looping an LLM through observe, reason, act. It works in a demo. In production it's slow, expensive, and hard to debug, because every step bills tokens and every failure looks different.
CloudCruise takes the other route. A builder agent turns a plain description of the process into a workflow graph, and that graph runs the same way on every call. The company's claim is that LLM costs get paid once at build time instead of on every step. Teams use it for prior authorization automation, eligibility checks, and EHR automation.
The limit worth knowing up front: this is developer tooling. You need to be comfortable with JSON inputs, API keys, and webhook handling. It also leans hard on US healthcare, so teams outside that space will find fewer ready-made pieces.
Getting Started
- Create an account at app.cloudcruise.com and generate an API key plus an encryption key for the vault.
- Describe the process in the builder agent chat, then confirm the input variables it suggests, such as claim IDs or patient names.
- Store the portal login in the Vault instead of the workflow.
- Run the workflow in the Playground against a test record and watch each step in the live browser view.
- Start runs through the web automation API or the TypeScript and Python SDKs, then listen for the end event or wait on the result.
Product Information
A quick look at CloudCruise's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Healthcare AI teams
- Platform engineers at automation vendors
- Developers who live in APIs
Tasks
- Prior authorization submission
- Eligibility verification
- EHR read and write
- Credentialing follow-up
Scenarios
- A voice agent needs live portal access at 2 a.m.
- A portal redesign breaks 40 scripts overnight
- Auditing what an automation actually did
Key features
Builder Agent That Writes the Workflow
Type the process in plain English and the builder agent produces a runnable workflow graph. It also spots form fields and dynamic values, then promotes them to input variables, which saves the refactor most teams do by hand. You watch it work in real time and correct edge cases as they appear.
Deterministic Runs Instead of Runtime Reasoning
Once a workflow is built, execution follows a fixed graph of clicks, typing, and extractions. Same inputs, same behavior. The practical payoff is speed and cost. The LLM bill lands at build time, not on each of thousands of runs.
Maintenance Agent for Broken Selectors
Portals change without warning. When a run fails, CloudCruise labels the cause as user error, workflow error, or an external outage. Workflow errors get patched automatically, outages get retried with exponential backoff, and user errors come back with context attached. Anything messy escalates to a person.
Encrypted Vault for Credentials
Logins live in a vault tied to your account, separate from the workflow itself. One credential set can serve many workflows, and a password rotation doesn't mean editing every script. It also keeps sensitive access out of version history.
Concurrency, Queueing, and Stealth
The platform runs thousands of workflows in parallel and queues the rest. Rate limits apply per credential instead of per account, which matters when one payer caps sessions at three. Each run executes in a VM with laptop-like fingerprints and human-paced input.
Observability With Video Replay
Every run records video, per-action screenshots, and logs, kept for 30 days. Failures return custom error codes, so your own systems branch on PORTAL-0001 instead of parsing a stack trace. Sentry integration handles alert routing.
Pros and cons
Pros
- Deterministic execution makes runs repeatable and cheap at volume, unlike per-step LLM agents.
- The maintenance agent removes the most expensive part of browser automation: keeping scripts alive after a portal update.
- Managed VMs, proxies, queueing, and stealth ship in one usage fee. Nothing to run yourself.
- HIPAA compliance and a BAA are available on the free tier, which is rare at $0.
- TypeScript and Python SDKs plus a REST endpoint keep the integration to a few lines, not a migration.
Cons
- The $700/mo Scale plan is a real jump from free, and automation hours are billed on top after the first two.
- Product focus is US healthcare, so teams in other verticals get less from the prebuilt patterns and case studies.
- No visual recorder for non-developers. Building still means describing logic and reading JSON schemas.
- Workflows depend on page structure, so a major portal rebuild can force a rebuild instead of a patch.
Frequently asked questions
It builds and runs browser automations for websites with no usable API. You describe a process, an AI agent generates the workflow, and CloudCruise executes it on managed browsers.
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