Stop arguing about metrics.
ClariLayer is metric lifecycle management. Define, validate, release, and observe metrics so the company runs on the same meaning.
The real problem isn't wrong numbers.
The cost is not just wrong numbers, it's the two weeks of executive momentum lost every time a board meeting turns into a data audit.
ARR means different things depending on who you ask.
Shadow BI starts as a "quick fix" and becomes permanent.
Data teams become referees.
SUM(contract_value) WHERE status = 'active'
SUM(recognized_revenue) / period_months
Same metric name, different logic.
Metric lifecycle management
Metrics have a lifecycle: define → validate → release → observe.
ClariLayer manages that lifecycle and ships the logic into the tools people actually use.
What's an artifact? The governed output—like a SQL view, a BI data source, or an AI context file—so the logic you approve here is exactly what your tools see.
Philosophy
How it works
Define
Plain language, owner, rules
Validate
Review changes, spot drift
Release
Approve, version, audit trail
Observe
Health + adoption signals
Define metrics with plain language, set granularity, and configure time semantics
Product tour
ClariLayer gives you visibility and control over every metric in your organization.
Metric registry
See every metric at a glance. Know who owns it, what version is live, and whether it's healthy.
Owners, tiers, versions, health, adoption
Definition and governance
Define metrics step-by-step. Track drafts vs approved. Review every change.
Draft vs approved, change history, review
Trust signals
Monitor data freshness, error rates, and version adoption. Catch problems before they reach the board deck.
Health checks, adoption, drift warnings
What you get
Real outcomes, not buzzwords.
Move fast without chaos
Ship metric changes quickly with governance built in, not bolted on.
One definition everywhere
The same logic in your BI tool, your data warehouse, and your AI agents.
Owners, approvals, audit trail
Know who owns what, who approved it, and when it changed.
Trust signals: health + adoption
See if a metric is fresh, if it has errors, and how many teams rely on it.
The trust layer for humans, AI, and BI
ClariLayer becomes the trust layer for humans, AI, and BI.
When AI starts answering "what's our ARR?", it should use approved logic, not a random dashboard.
Get early access
Join the list, I'll reach out when private beta opens.