High-Velocity Growth, Higher Margins

Scale your marketplace platform with AI-powered governance that maximizes unit economics and keeps transaction costs low.

The

Challenge

of

Marketplace

Cloud

Economics

For digital marketplaces, cloud infrastructure is a direct COGS component. Scaling volume can quickly erode thin margins.

The Peak Traffic Tax

The Peak Traffic Tax

The Peak Traffic Tax

Scaling for surges (like Black Friday) often leads to "provisioning hangovers" where expensive resources remain idle post-event.

Scaling for surges (like Black Friday) often leads to "provisioning hangovers" where expensive resources remain idle post-event.

Attribution Complexity

Attribution Complexity

Attribution Complexity

High-velocity microservices make it nearly impossible to pinpoint the exact infrastructure cloud cost control per transaction or vendor.

Runaway Search Costs

Runaway Search Costs

Runaway Search Costs

Compute-intensive AI recommendations and indexing can outpace the revenue they generate without strict finops governance

Marketplace Value Propositions

PERFORMANCE-FIRST OPTIMIZATION

Optimize transaction engines and search clusters without risking performance.

Optimize transaction engines and search clusters without risking performance.

Infrastructure Risk Assessment

Maps dependencies to ensure rightsizing never increases latency during high-traffic checkout.

LLM-Validated Automation

AI-verified optimizations tailored to your platform’s specific scaling needs and traffic patterns

Safe Automation Guardrails

Protects high-velocity workloads with automated pre-deployment performance testing

Optimization Governance

Continuous cloud monitoring with automatic rollbacks if API response times or error rates rise.

REAL-TIME UNIT ECONOMICS

Connect cloud spend to transactions, vendors, and categories.

Connect cloud spend to transactions, vendors, and categories.

Resource Relationship Mapping

100% visibility into services driving search, checkout, or logistics costs.

Tagging Intelligence

Automatically clusters resources by merchant ID, region, or product line for instant showback

Fair Cost Distribution

Accurately allocates shared costs, like load balancers and databases, across business units

Granular Budget Control

Enforce financial limits for experimental features or specific marketing-driven landing pages.

ADAPTIVE SCALE GOVERNANCE

Prevent bill shock by distinguishing profitable growth from resource waste.

Prevent bill shock by distinguishing profitable growth from resource waste.

Proactive Anomaly Detection

Real-time alerts distinguishing legitimate traffic surges from runaway database queries.

Budget-Aware Forecasting

Predicts future spend based on marketing calendars and historical seasonal growth.

Pre-Deployment Intelligence

See cost impacts of new features like AR views before they hit production

Intelligent Waste Detection

Automatically reclaims savings from idle staging environments and oversized data warehouses.

Unifying

Teams

with

Measurable

Outcomes

Maintaining predictable margins while supporting peak-season demand

Budget Variance

Achieve <5% variance between monthly budgets and actual platform spend.

Forecast Accuracy

Reach 95% accuracy in predicting scaling costs for peak shopping seasons.

Cloud Waste Reclaimed

Recover 30%–40% of spend from over-provisioned clusters and idle dev resources.

Commitment Utilization

Maintain >90% utilization for always-on databases and search indexing.

FOR FINANCE TEAMS

FOR ENGINEERING TEAMS

FOR FINOPS TEAMS

FOR LEADERSHIP

Maintaining predictable margins while supporting peak-season demand

FOR FINANCE TEAMS

Budget Variance

Achieve <5% variance between monthly budgets and actual platform spend.

Forecast Accuracy

Reach 95% accuracy in predicting scaling costs for peak shopping seasons.

Cloud Waste Reclaimed

Recover 30%–40% of spend from over-provisioned clusters and idle dev resources.

Commitment Utilization

Maintain >90% utilization for always-on databases and search indexing.

Maintaining predictable margins while supporting peak-season demand

FOR FINANCE TEAMS

Budget Variance

Achieve <5% variance between monthly budgets and actual platform spend.

Forecast Accuracy

Reach 95% accuracy in predicting scaling costs for peak shopping seasons.

Cloud Waste Reclaimed

Recover 30%–40% of spend from over-provisioned clusters and idle dev resources.

Commitment Utilization

Maintain >90% utilization for always-on databases and search indexing.