AI spend forensics Your fastest-growing cloud bill, explained with evidence.
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See where your AI spend is leaking.

Blackridge shows which workflows, retries, fallbacks, model choices, and attribution gaps caused the bill — with request-level evidence your team can inspect.

Do not submit credentials, production payloads, secrets, or raw sensitive logs through the public form.

Who this is for

You have AI spend. You cannot explain the bill.

Production AI workflows

Agents, copilots, support flows, code generation, or any LLM feature already creating meaningful inference spend.

Unexplained cost behavior

Retries, missing fallbacks, duplicate calls, premium model defaults, or unattributed spend may be driving the bill.

Leadership wants answers

Finance, executives, or platform teams need evidence — not dashboards — to understand and defend AI spend.

Get started

Talk with Northwatch about Blackridge.

Tell us what you are running, where AI spend is becoming difficult to explain, and who should be involved. A Northwatch founder will follow up if there is a strong technical fit.

Northwatch Systems reviews submissions directly and typically follows up by email. Do not submit credentials, production payloads, secrets, raw sensitive logs, or regulated data through this form. Secure handoff happens after qualification. See our Privacy Policy · Terms

If the form fails, email [email protected].