Predict what every cloud workload will cost—before you deploy.
FinOps is reactive. OpsPilot makes it predictive - live, pre-deploy cost estimates with guardrails and prescriptive tips in Jira/Slack so engineers know the cost before code runs and finance gets forecasts they can trust.
The Pain We Remove
TRIED DASHBOARDS AND CALCULATORS?
Here's why they didn't stop the bleed.
Below are the real causes of budget pain - the leaks dashboards can't fix.
Then see how OpsPilot closes them directly in your workflow.
Blind Before Deploy
There’s no reliable way to see what a new workload will cost until it’s already live. By the time the bill lands, the architecture’s baked — and the cost is too.
Egress surprises
Teams underestimate data-transfer costs — NAT, cross-AZ, and VPC traffic quietly swell to 30–40 % of the bill. These aren’t edge cases; they’re the real leak.
Out of sight, out of scope.
Engineers don’t have time to flip between pricing pages and dashboards. If cost visibility isn’t in their workflow, it simply doesn’t exist.
Why past fixes didn't stick
Cloud Cost Awareness Starts Here.
Track cloud costs at every stage. Know costs before you build, watch spending as you go, and see why costs change.
1
Forecasts you can defend
Tie estimates to real workloads for budget confidence and fewer “why did this change?” moments.
2
In-workflow awareness & decisions
See cost and risk signals directly in Jira/Slack - cost visibility where decisions are made.
Adaptive Optimization
After launch, workload-aware ML highlights optimization opportunities ranked by impact and effort.
4
Continuous FinOps
Cost reports, audit logging, and dedicated onboarding help teams forecast and stay compliant—governance through prediction, not enforcement.
How TOP works (Predict → Act → Prevent)
Powered by workload-aware ML + intelligent tagging.
Developer-first cost intelligence that fits your stack; doesn’t slow it down.
Plan & estimate
Describe your workload in plain English—“an EKS cluster with 10 nodes and an RDS backend.” TOP analyzes context and peer workloads to generate cost-optimal blueprints and policy checks before deployment.
Launch & monitor
TOP uses workload-aware ML to analyze CPU, memory, and data-transfer patterns, surfacing optimizations like “reduce nodes 6 → 3” or “add an S3 Gateway Endpoint,” while maintaining tagging hygiene.
Learn & evolve
Each run refines the model, learning which configs perform best for cost and reliability—and rolls up to board-friendly metrics (forecast error ↓, waste ↓, pre-deploy decisions ↑).
The Full Picture - End to End FinOps
Start Your 30-Day Pilot
Experience Predictive FinOps in two sprints—no contracts, no disruption.
Prove value with two squads.
Success = forecast error ↓ • egress waste ↓ • pre-deploy cost decisions↑.
Clear go/no-go decision at 30 days.
Who It's For
Built for mature, scale-stage organizations (80–1000+ engineers) with DevOps/Platform teams and centralized FinOps. Perfect for teams under pressure from the CFO or board to hit forecasts without slowing delivery.
If you already have dashboards but need actionable insights where code is planned and shipped, you're our ideal customer.