The AI operations
platform for every cloud.

Autonomous AI agents that monitor your cloud, diagnose anomalies, and surface findings before your on-call pager fires.

Get early access - free during beta

rivetops / findings

live

1 / 3

Critical1 min ago

aws / us-east-1 / ec2

i-0abc123def456789

CPU 94% sustained over 15 min, ELB 5xx rate at 12% - correlated spike

OOM event likely. Check application logs on instance before next traffic peak.

3 findings in last 5 min

AWS live today - every major cloud on the roadmap

soon

The Problem

Infrastructure teams spend 12+ hours a week on reactive firefighting.

The signal is there. It is buried in 47 different dashboards, disconnected logs, and alerts with no context. By the time you diagnose the root cause, the incident window has closed.

Your engineers are context-switching between CloudWatch, CloudTrail, and Slack at 3am. The same patterns keep repeating. Nothing gets fixed, just patched.

47 min

average time to diagnose an incident

3.2x

weekly on-call interruptions per engineer

68%

of incidents lack a clear root cause

12 hrs

spent on reactive ops per engineer per week

Industry averages, SRE reports 2024-25

How It Works

From zero to autonomous monitoring in three steps.

Grant read-only access

Apply a one-liner Terraform module or CDK snippet to your AWS account. It creates a cross-account IAM role that trusts only RivetOps and grants ReadOnlyAccess.

module "rivetops" {
  source          = "rivetops/onboarding/aws"
  saas_account_id = "123456789012"
}

output "role_arn" {
  value = module.rivetops.role_arn
}

Connect your account

Copy the output Role ARN and paste it into the RivetOps dashboard. No SSH keys. No secrets. No IAM users. The handshake takes 30 seconds.

# Output from your Terraform apply:

role_arn = "arn:aws:iam::999888777666
             :role/rivetops-agent-role"

# Paste this into your RivetOps account.
# That is the entire setup.

AI takes the wheel

agent running

The AI agent runs on a schedule, assumes your IAM role, reads CloudWatch metrics and CloudTrail events, and correlates signals across services. Findings are posted to your dashboard in plain English.

Zero dashboards to watch. Zero alert tuning. Zero 3am pages for noise.

[FINDING] Severity: HIGH
Resource:  i-0abc123def456789
Region:    us-east-1

Signal:    CPU spike 94% (15 min sustained)
           ELB 5xx rate correlated at 12%

Action:    Check application logs on
           instance. Possible OOM event.
           Recommend memory increase or
           code-level investigation.

Confidence: 91%   Context tokens: 4,812

The Platform

Built as a platform, not a point solution.

RivetOps is one plugin on a shared execution engine. FinOps, Security, and Compliance agents are next, running on every cloud you use. AWS is the beachhead.

Any cloud, from day one

AWS live. Google Cloud, Azure, and DigitalOcean on the roadmap. Connects via cross-account IAM, OAuth, or service principals. Zero credentials stored.

One runtime, many agents

The pi.dev execution layer is cloud-agnostic. New products ship as plugins with no changes to the core infrastructure.

// event payload
{
pluginUrl:
"rivetops-plugin-sre"
targetRoleArn:
"arn:aws:iam::..."
}

// swap plugin = new product

SRE today. Platform tomorrow.

Your first deployment monitors infrastructure. The next watches your cloud bill. The one after that runs compliance checks. Same architecture, new plugin.

SRE Monitor

Live

FinOps Agent

Q3 2026

Security Auditor

Q4 2026

Compliance

2027

Security is the foundation, not an afterthought.

We use STS cross-account role assumption, the same mechanism AWS-native services use internally. Temporary credentials, read-only scope, instant revocation. If you remove the IAM role, access ends immediately.

Zero

credential exposure

Read-Only

permission level

1 hour

max credential lifetime

Ready to stop firefighting?

Join the waitlist. Free during beta.

The AI operationsplatform for every cloud.