Riscly predicts failures, security risks, and revenue loss before they impact your business.
The problem
Dashboards are great at the past tense. By the time an alert fires, your customers are already feeling the pain and revenue is already gone.
Customers, social media, and your status page learn about the outage before your team does.
Pages at 3am, war rooms, and postmortems — all after the damage is already done.
Failed checkouts and timeouts quietly drain MRR with no clear line back to the cause.
One dependency goes down and you have no idea what else it takes with it.
The solution
Riscly builds a model of your system and stress-tests the future — so you fix the risk while it's still cheap.
Link GitHub and your cloud, billing and database providers in a couple of clicks.
We build a live dependency graph of your whole system — services, data, queues, APIs.
Run outages, surges and security attacks against the model — never against production.
Get a reliability score, prioritized risks and the exact fixes that move it the most.
Architecture intelligence
Riscly maps every dependency — frontend, APIs, databases, caches, queues and third parties — and keeps it current as your code changes.
Failure simulation
Pick a failure scenario and watch Riscly trace the blast radius across your stack in seconds — no production traffic harmed. This demo runs the real engine.
Revenue impact
Riscly translates each failure mode into direct revenue loss, lost conversions, SLA credits and churn — so you fix the expensive risks first, not the loudest ones.
Features
Connect your stack once and get a continuously updated graph of every service relationship.
Models surface the failure modes most likely to hurt, ranked and explained in plain language.
Run unlimited what-if simulations — traffic spikes, outages, region loss — on demand.
Every risk is priced in lost revenue and projected churn so you fix the costly ones first.
Spot exposed surfaces and single points of failure before an attacker or an incident does.
Get notified ahead of time when capacity, error budgets, or dependencies trend toward failure.
Loved by reliability teams
“Riscly flagged a database single point of failure two weeks before our Series B launch. It would have taken us down on the biggest traffic day of the year.”
“The revenue-impact scoring changed how we prioritize reliability work. We finally fix the risks that actually cost money first.”
“It is like a chaos engineering team in a box. We run a region-failure simulation every sprint now.”
Pricing
For side projects and early-stage teams.
For scaling SaaS teams that can’t go down.
For platforms with real revenue on the line.
For mission-critical platforms at scale.
FAQ
No. We build a model of your system from code and infrastructure metadata, and run every simulation against that model — never against your live system.
Start with GitHub to map your services and dependencies. Add your cloud, database and billing providers (AWS, GCP, Stripe, Supabase, Neon and more) for deeper analysis.
Connect a repo and you get a reliability score and prioritized risks within minutes — the onboarding is designed to deliver an immediate "wow".
Each simulated failure is translated into direct revenue loss, lost conversions, SLA credits and churn risk, based on your MRR and traffic — so you fix the costly risks first.
Provider tokens are encrypted at rest (AES-256-GCM), every tenant is isolated, and all mutating actions are audit-logged. SSO, RBAC and audit exports are available on higher tiers.
Yes. The Scenario Lab lets you compose multiple failures — outages, traffic surges, business shocks — and quantify the combined impact on demand.