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Know the cost and tradeoffs of your AWS Workload before design begins
Modern FinOps starts too late — at deployment, after decisions are locked.
The OpsPilot brings cost foresight into planning by turning early intent (tickets, ideas, workload descriptions) into cost scenarios grounded in how your organization builds systems.
It infers architecture, surfaces tradeoffs and guides teams from first requirement through cost optimal operation.
Closed Alpha — Limited Design Partner Access
What is The OpsPilot?
The OpsPilot is a predictive FinOps platform built for how AWS systems are actually designed and operated.
It learns how your organization builds infrastructure — instance families, network patterns, availability choices, storage defaults — and uses those signals to model realistic workload scenarios.
TOP infers likely architecture, estimates cost drivers and highlights tradeoffs before design decisions harden. Once deployed, it tracks reality against intent and continuously guides optimization as environments evolve.
Because every tool starts too late
No cost visibility at planning
Pricing calculators don’t understand workloads
Engineers don’t use external tools
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- Is this a $500/month service or a $50,000/month one?
- Is this comparable to our other workloads?
- Are we accidentally gold-plating the design?
By bounding expectations early, TOP prevents the most expensive failure mode in cloud:“We thought this would be cheap.”
- Default design: $4.8k/month
- Cost-optimized: $2.1k/month
- High-availability: $8.9k/month
This forces a real decision:
Which option are we choosing — and why?
Cost stops being a hidden consequence of architecture and becomes an explicit tradeoff.
TOP lets teams ask:
- Which assumption broke?
- Did traffic exceed expectations?
- Did infrastructure drift from the original design?
- Did defaults inflate over time?
With intent captured early, deviations are explainable, optimization becomes targeted, and blame conversations disappear.
Once deployed, TOP connects real usage back to planned intent — detecting drift, surfacing optimization opportunities, and feeding learnings into future decisions.
FinOps becomes continuous, not reactive.
From Intent → Deployment → Optimization TOP stays with you across the full lifecycle.
Step 1: Plan
TOP:
- Infers likely architecture
- Predicts cost & egress patterns
- Flags risk
- Suggests best-practice defaults
- Provides cost gates before design
Value: Better prioritization, realistic budgets, no blind commitments.
Step 2: Design
TOP does (ML + AWS signals + FinOps intelligence):
- Generates cost-optimal configs using AWS best practices + ML defaults
- Recommends endpoints, node sizes, storage classes based on real workload patterns
- Models NAT, egress, inter-AZ paths using your VPC topology
- Compares intent with peer workloads across your org
- Continuously refines smart defaults with ML and historical data
- Produces environment-aware, workload-aware guidance
Value: Teams build cost-efficiently from day one.
Step 3: Operate
TOP:
- ML-backed workload aware live Optimization
- Drift Detection
- Ghost infra cleanup
- Tagging hygiene
- Cost anomaly insights
Value: Continuous efficiency without slowing velocity.
Access & Engagement Model
During alpha, teams engage through a guided process to validate predictive cost models against real AWS environments and provide feedback that shapes product direction.
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