Production AI workflows
Agents, copilots, support flows, code generation, or any LLM feature already creating meaningful inference spend.
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.
Agents, copilots, support flows, code generation, or any LLM feature already creating meaningful inference spend.
Retries, missing fallbacks, duplicate calls, premium model defaults, or unattributed spend may be driving the bill.
Finance, executives, or platform teams need evidence — not dashboards — to understand and defend AI spend.
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].