Technology / AWS
Get the most out of your AWS spend - without manually configuring Savings Plans, tracking Spot capacity, or building your own rightsizing spreadsheet.
Continuous control
Turn changing infrastructure into a clearer, more disciplined cost picture.
Read-only IAM roles
Cross-service telemetry
Automated remediation
Executive Summary
Running workloads on AWS gives you flexibility, but that same flexibility makes overspending easy to miss. Between idle EC2 instances, underused Reserved Instances, unoptimized storage tiers, and Savings Plans that never quite match real usage, most AWS accounts carry 20-30% in avoidable waste. Zolix's C2O engine continuously analyzes your AWS telemetry - compute, storage, database, and networking - to surface savings AWS's own dashboards won't show you, and acts on them automatically instead of leaving it to manual review.
18%
average improvement in resource utilization density within the first optimization cycle - the economic impact of closing the gap between AWS's native tools.
AWS gives you an enormous range of pricing levers - Savings Plans, Reserved Instances, Spot Instances, Graviton, volume discounts. The catch is that using them well means someone has to manually track usage and keep revisiting the decision as workloads change. Zolix automates that entire loop.
AWS lets you save up to 72% by committing to Savings Plans or Reserved Instances instead of running on-demand. Zolix continuously compares your actual usage against your current commitment coverage and flags the gap - instead of waiting for you to manually check Cost Explorer.
Fault-tolerant workloads can run at up to 90% off on EC2 Spot Instances, but figuring out which of your workloads are actually Spot-eligible takes manual review. Zolix identifies candidate workloads based on actual interruption tolerance, not a guess.
AWS Compute Optimizer gives generic sizing suggestions. Zolix goes further - cross-referencing EC2 instance types, RDS instance classes, Lambda memory allocation, and S3 storage tiers against your real workload behavior, so a rightsizing recommendation reflects how a resource is actually used, not just its category.
Unused EBS volumes, idle load balancers, and unassociated Elastic IPs quietly accumulate cost every month they go unnoticed. Zolix flags these automatically and continuously, rather than surfacing them once during an annual Trusted Advisor review.
Strategic Objectives
Four objectives that replace one-time cleanup projects with an always-on control layer.
01
Zero-agent scanning across EC2, RDS, Lambda, EBS, and S3 to find idle instances, unattached Elastic IPs, orphaned volumes, and over-provisioned databases - the same waste categories AWS Trusted Advisor flags, but tracked continuously instead of checked periodically.
02
Matching EC2 instance families, RDS clusters, and Lambda memory allocations to actual demand patterns - not peak-provisioned guesses. Where AWS Compute Optimizer gives you a recommendation, Zolix evaluates and applies it against your live cost-performance tradeoffs.
03
Modeling your real usage against Savings Plans, Reserved Instances, and Spot Instance eligibility to recommend the right purchase mix - capturing discounts up to 72% on committed usage and up to 90% on fault-tolerant workloads, without locking you into commitments that don't fit your growth curve.
04
Automated guardrails that keep AWS spend aligned with budget as your infrastructure scales, replacing one-time cleanup projects with an always-on control layer.
Technical Architecture
The Zolix Advantage
Sovereign C2O 9B Parameter Model - a specialized neural architecture trained on AWS billing and usage telemetry (Cost and Usage Reports, CloudWatch metrics, Compute Optimizer signals) to detect optimization opportunities AWS's native tools surface individually but never correlate. Where Cost Explorer, Trusted Advisor, and Compute Optimizer each solve one piece - visibility, rightsizing, or purchase planning - Zolix unifies all three into a single automated recommendation engine.
18%+
Targeted improvement in resource utilization density, compounding further with Savings Plans and Spot automation
Implementation Roadmap
Use Cases
Get the discount AWS already offers - Savings Plans and Reserved Instances across EC2, RDS, ElastiCache, OpenSearch, and DynamoDB - without manually building the commitment schedule. Zolix generates recommendations based on your actual historical usage and applies volume pricing logic automatically across linked accounts.
Stop paying for compute during hours nobody's using it. Where AWS gives you Instance Scheduler and Auto Scaling as tools you have to configure, Zolix identifies which EC2 and RDS instances are sitting idle outside business hours and which Load Balancers and Elastic IPs are unassociated - then hands you the specific list, ranked by savings.
Get Graviton migration recommendations, EC2 and Lambda rightsizing, and S3 storage tier optimization - all cross-checked against your actual usage rather than AWS's generic instance-family guidance. Graviton-powered instances alone can deliver up to 40% better price performance over comparable x86 instances.
Serverless and microservice architectures - Lambda, Fargate, Aurora Serverless - cut cost by scaling to zero when idle, but migrating to them is an architectural decision, not a switch you flip. Zolix highlights which of your current workloads would benefit most from a serverless or modular redesign.
Zolix Capabilities for AWS
Continuous tracking of Savings Plan and Reserved Instance coverage against real usage, with automatic flagging when coverage drifts out of alignment.
Automated identification of workloads suited to Spot capacity, based on actual fault tolerance rather than manual assessment.
Recommendations spanning EC2, RDS, Lambda, and S3, built from real utilization data rather than category-based defaults.
Ongoing detection of unused EBS volumes, idle load balancers, and unassociated Elastic IPs, flagged as they occur.
Workload-level scoring for Graviton migration candidates, based on actual compute characteristics.
What teams see after connecting AWS to Zolix
24 Hours
to a first cost visibility report across every linked account.
Automated Detection
where AWS's native tools require manual configuration - Savings Plans, Spot eligibility, and Reserved Instance commitments all get evaluated and recommended automatically.
Zero Write Access
during setup or ongoing monitoring. Zolix connects through read-only IAM roles, following AWS's own recommended security practices.
AWS's native tools require you to manually review recommendations and decide on commitments yourself. Zolix continuously monitors usage against every available discount mechanism - Savings Plans, Reserved Instances, Spot eligibility - and surfaces the gap automatically, without requiring a manual review cycle.
No. Zolix connects through read-only IAM roles, following AWS's recommended security practices, and never requires write access during setup or ongoing monitoring.
Yes. Workloads are evaluated for actual fault tolerance and interruption sensitivity, so Spot recommendations reflect real workload behavior rather than a manual guess.
Yes. Rightsizing and cost analysis span EC2, RDS, Lambda, S3, and other core AWS services, not just compute.
Most teams receive a first cost visibility report within 24 hours, with prioritized recommendations following shortly after usage patterns are analyzed.
Connect your AWS account through read-only access and let Zolix find the Savings Plans, Spot opportunities, and idle resources AWS's native tools would otherwise leave for you to find manually.