Features

Everything in the daily cost loop.

Anomaly detection, attribution, forecasts, and remediation — built for finance and platform teams running AWS, Azure, GCP, or StackIT.

  • Daily anomaly detection

    Each service and account is compared against a 90-day rolling baseline. NAT transfer spikes, RDS class drift, and expired reservations surface before the invoice closes.

  • Team attribution

    Spend maps to owners via tag policy, account rules, and regex on resource ARN. Un-tagged spend is listed separately so finance can assign owners.

  • Forecasts and budgets

    Run-rate projections and monthly budget tracking with email and Slack alerts at 50%, 80%, and 100% of the period.

  • Four-cloud coverage

    Normalized cost view across AWS, Azure, GCP, and StackIT. Same anomaly format and owner path; per-cloud billing nuance is preserved.

  • Rightsizing playbooks

    Remediation options for idle resources, savings plans, reserved instances, and CUD commitments — with dollar impact per finding.

  • Read-only collectors

    AWS IAM role, Azure service principal, GCP service account, or StackIT project token. No agents, no write access, about 10 minutes to connect.

  • Budget alerts

    Threshold notifications at 50%, 80%, and 100% via email or Slack so teams act before overrun, not after the close.

  • Un-tagged spend cleanup

    Resources missing required tags are grouped by account and service so owners can fix policy gaps before allocation reports go to finance.

  • Export for finance close

    Monthly attribution and forecast summaries export for your close process — same numbers shown in the dashboard, no manual spreadsheet rebuild.

The platform

The platform surfaces.

Cost is the wedge most teams come in for. The same read-only access opens inventory, lifecycle, multi-tenant, and the MCP server for AI agents.

  • Resource inventory

    Every VM, database, storage account, load balancer, and managed service across AWS, Azure, GCP, and StackIT. Tagged with owner, age, last-touched timestamp, and monthly run-rate cost — filterable, exportable, scriptable through the API.

  • VM and AVD lifecycle

    Schedule, snapshot, resize, deallocate, and de-provision. AVD session host pool management with cost impact preview before each action. Approval workflow for the actions that cost real money.

  • Multi-tenant via Lighthouse

    Manage delegated subscriptions for your customers from one control plane. Per-customer scoping, per-customer tagging, per-customer billing aggregation. AWS Organizations and GCP folder IAM cover the same ground on those clouds.

  • EA billing reconciliation

    Reconcile your enterprise agreement, MCA, or AWS Enterprise Agreement against the resources actually in use. Surface unused commitment, unconverted reservations, and spend categories that drift outside the negotiated schedule.

  • MCP server for AI agents

    Cloud Horizons exposes inventory, costs, anomalies, forecasts, Azure APIM, and StackIT project data as MCP tools. Teams query provider context through one authenticated endpoint with scoped tokens and audit logs.

  • Anomaly and cost alerts

    Beta anomaly review with hand-checked findings before delivery. Per-team budget tracking, runaway resource detection, reserved instance expiry, and unconverted savings plans after the first provider sync is verified.

  • Azure APIM monitoring

    Assisted Azure API Management setup for service state, API inventory, subscription key health, and Azure Monitor metrics. Integrated into the platform workspace after customer access is verified.

  • Operations audit trail

    Azure APIM, App Gateway, Advisor, Service Health, Monitor, Cost Management, and Resource Graph are grouped with AWS, GCP, and StackIT cost context so each recommendation has source data behind it.

  • StackIT monitoring

    Cost Management, project inventory, OpenStack compute instances, and S3-compatible object storage in one view. Built for EU sovereignty and DACH compliance workloads on the Schwarz Group sovereign cloud.

Integrations

Integrations.

We read what the cloud already publishes. No agents, no sidecars, no custom CRDs in your cluster. Read-only by default; write scopes opt-in per cloud.

  • AWS — Cost Explorer, Compute Optimizer, Trusted Advisor, Organizations.
  • Azure — Cost Management, Advisor, Lighthouse, Entra ID, Policy.
  • GCP — Billing API, Recommender, Asset Inventory, folder IAM.
  • StackIT — Cost API, inventory, project service accounts.
  • Slack — anomaly alerts, daily digest, /cloudhorizon slash command.
  • PagerDuty — incident routing for spend anomalies above threshold.
  • Opsgenie — alternative incident routing for Atlassian shops.
  • Terraform — read-only state import for tagging gap detection.
  • Webhooks — signed POST per anomaly to your tooling of choice.
  • API and MCP — the same surface for humans, scripts, and AI agents.

How it works.

  1. Connect

    10-minute read-only setup. AWS IAM role, Azure service principal, GCP service account, or StackIT project token. No agents, no infrastructure changes.

  2. See

    Daily anomaly scan, attribution by team and service, and forecast for the next billing period. The first useful insight lands within an hour of sync.

  3. Act

    Remediation playbooks per anomaly type — RI, savings plan, CUD, and idle resource cleanup with dollar value attached to each finding.

See your own numbers.

Connect one read-only cloud scope and review anomalies against your 90-day baseline.