AlertD is a team of purpose-built AI agents for AWS operations: security, compliance, cost, performance, and LLM visibility. The agents run read-only in your VPC, discover every account and region, deliver context in seconds, and propose fixes your team reviews and applies. Installed from one CloudFormation template in about 15 minutes; first ranked findings with proposed fixes in about 45.
AlertD is a team of purpose-built AI agents for AWS operations: security, compliance, cost optimization, performance, and LLM infrastructure. The agents do the grunt work, deliver the context, and propose the fix; your team decides. Within about 30 minutes of deployment, AlertD auto-inventories your entire estate across every account and region: a live graph of resources, metrics, pricing, and relationships, LLM stack included. It continuously maps your infrastructure topology and catches every change as it happens, including drift, orphaned resources, and out-of-band CLI changes. Resources are auto-classified into peer cohorts (no clean tags required), so alerts come from context, not brittle hand-tuned thresholds. The agents reason across millions of cross-resource relationships and narrow them to the ones that matter. Analysis that takes engineers hours, days, or weeks of tool-switching by hand completes in seconds, and every finding arrives with its evidence and a proposed fix: a Terraform or CloudFormation diff, ready for your PR workflow. AlertD holds no write permissions of its own. Your team reviews, approves, and applies through your own pipeline, and every agent action is logged. Gartner calls this autonomy level "Act with Approval"; it is the level AlertD is built around. Your team works with the agents wherever they already are. Ask Flappy, the conversational agent in Slack, anything about your environment in plain English. Connect your coding agents and Claude Code over MCP, the same open standard AWS builds its own agents on. Or use the AlertD portal for the full picture. AlertD also meters your LLM spend: every Bedrock token counted daily, cost per feature, and budget breaches flagged the day they start. Pricing is consumption based, metered in tokens, the unit of an agent's work, with hard caps and budgets built in. No per-seat, per-host, or per-workload pricing, and no upfront annual commitment. Start with a free 30-day trial: first ranked findings inside the first hour.
Highlights
Agents do the grunt work, 24x7x365. Continuous discovery across every account and region, LLM stack included. Context that takes teams hours to weeks by hand arrives in seconds, with the evidence attached.
Read-only, in your VPC, you approve every fix. Delivered as a container on Amazon ECS inside your perimeter. AlertD holds no write permissions; fixes arrive as Terraform or CloudFormation diffs for your PR workflow. Every agent action is logged. SOC 2 Type II.
Priced by agent work, not people. Consumption metered in tokens with hard caps and budgets built in. No per-seat, per-host, or per-workload pricing. Free 30-day trial.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay based on usage, not seats or hosts. The main dimension, AlertD Charge Units, meters resource ingestion and AI work performed by the agents. This scales with how much the agents actually do. A second dimension applies only if your AWS footprint passes 10 million resources. It charges per million resources beyond that threshold. So the base unit covers standard usage, and the extra-resource charge adds on for large-scale environments. You set budget caps to control spend.
Top-of-mind questions for buyers
What does one AlertD Charge Unit represent in terms of actual work?
Charge Units meter agent effort in tokens — the unit of an agent's work. This covers resource ingestion and the AI reasoning the agents perform. Cost reflects the work agents actually do, not seats, hosts, or workload blocks. You set budget caps to control how many credits agents consume.
How does the extra-resource charge combine with Charge Units on my bill?
Both charges appear together. Charge Units meter ongoing ingestion and AI work as agents operate. The extra-resource charge is separate and applies only once your AWS footprint passes 10 million resources, billed per additional million. For environments below that threshold, only Charge Units apply.
What counts as an AWS resource for the extra-resource threshold?
The charge measures the AWS resources AlertD ingests across your accounts and regions — services, volumes, roles, and related items in your environment graph. The agents map millions of relationships across your organization. Only resources beyond 10 million trigger the per-million charge.
www.alertd.ai
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Vendor refund policy
AlertD is billed by usage only: no subscriptions, seats, or prepaid balances. You're charged only for completed, metered activity, and failed requests are never billed. Because nothing is prepaid, all charges are final and non-refundable. If you believe a charge is a billing error, email support@alertd.ai within 30 days with your AWS account ID and the charge in question, and we'll investigate and correct any verified error.
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