Comparison

Built to work with your AI stack, not to replace it.

Observability tools and AI gateways show how your AI runs. Moonford shows where AI work fails, why, and who can fix it.

Side by side

	AI observability tools	AI gateways	Moonford
Built for	Engineers debugging AI apps they build	Platform teams controlling access, routing and spend per model	The AI rollout owner deciding what to fix first
What it sees	Traces, latency, errors and tokens per call	Every request routed through it: model, tokens, cost and policy	What happens in the conversation, analysed anonymously inside your environment: where AI work failed and which tool or connector caused it
Vendor assistants such as Copilot	Only apps you instrument yourself	Only traffic routed through the gateway	Yes, from exported conversation history, analysed anonymously inside your environment
Failures with no error	Partly, if someone inspects the trace	No: the call succeeded	Yes: the empty answer, the rephrase, the workaround
Cost view	Tokens per call	Spend per model, team and key, with budgets and limits	Cost of failed AI work, by cause and owner
Output	Dashboards and traces	Routing rules, limits and logs	A ranked list of fixes, each with an owner

Already run one of these? Moonford can use its logs as a further source.

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