The problem
Every tool in a SaaS stack observes one thing well. Sentry sees errors, PostHog sees events, Stripe sees payments, Crisp sees conversations, GitHub sees releases. Each has its own alerts, its own dashboard and no idea the others exist. When something goes wrong, the person on call opens five tabs and rebuilds the story by hand: the release at 12:15, the errors at 12:24, the checkouts, the failed payments, the chats. It takes an hour, and it is the same hour every time.
Engineering has had observability for a decade: traces, metrics and logs read together, so a slow request can be followed through every service it touched. The business side of a SaaS has nothing like it. Revenue, usage, errors and support are read in four tools by four people, and the correlation between them lives in someone's head.
What Vesqo does
Vesqo connects to the tools you already run, read-only, every fifteen minutes, and keeps a history of each. Customers are joined across sources: a Stripe customer, a Sentry user, a PostHog group, a support contact and a CRM company with the same email domain are one account, with what they pay.
Twice an hour, and the minute a release ships, a set of rules reads the sources against each other and against the same hours the week before. When they disagree, Vesqo writes a signal: what changed, the release it dates to, the customers in it, the money, and the next step. Critical ones reach the team at once; the rest go into one email at seven.
Everything it read is one question away. Ask Vesqo answers from the same data, with names, amounts and what it looked at, and every answer is in the audit log.
Example
Questions it answers
- What changed since yesterday, and what does each change cost?
- Which paying customers were affected by this incident?
- Is the drop in checkouts a release, a customer going quiet, or a quiet Sunday?
- Which customers are at risk this month, and why?