# Evaluatestratum

*/Startups/Evaluatestratum*

## Startup Overview

This infrastructure analysis engine links infrastructure-as-code deployments directly to live resource utilization. Engineering and finance teams use it to locate orphaned databases, over-provisioned instances, and idle test environments that inflate monthly cloud bills. The system continuously ingests configuration state files alongside live telemetry, mapping the exact gap between intended architecture and actual compute consumption.

Traditional cost management relies on manual AWS console audits or heavy dashboard platforms like CloudHealth and Datadog CSPM. This API-native alternative bypasses visual reporting to programmatically identify underutilized assets without requiring agents or manual tagging exercises. By directly tying code modules to specific billing line items, the engine generates targeted teardown scripts and prices its service strictly on the verified cloud spend it recovers.

## Startup Founding Hypothesis

**Approach**: that correlates infrastructure-as-code deployments against actual resource utilization
**Competitors**:
- [CloudHealth](/Competitors/CloudHealth)
- [Datadog CSPM](/Competitors/Datadog_CSPM)
- [manual AWS console audits](/Competitors/manual_AWS_console_audits)
**Differentiator2x2**: API-native and priced purely on recovered cloud spend

## Startup Solution Coordinate

**Solution**: [Stratum Cost Correlator](/Software/Stratum_Cost_Correlator)

## Startup Position2x2

```mermaid
quadrantChart
x-axis Console / Manual Audits --> API-Native Correlation
y-axis Flat / Tiered SaaS Pricing --> Priced on Recovered Spend
quadrant-1 Automated ROI
quadrant-2 Manual ROI
quadrant-3 Internal Overhead
quadrant-4 Traditional Tooling
Evaluatestratum: [0.9, 0.9]
CloudHealth: [0.5, 0.3]
Datadog CSPM: [0.8, 0.2]
manual AWS console audits: [0.1, 0.1]
```

## Startup Offer

**Proof**:
- Targeting 15-30% reduction in orphaned cloud resources for mid-market DevOps teams.
- Aiming to map 10,000+ IaC resources to billing utilization in under 10 minutes.
- Seeking to generate automated IaC PRs that accurately remediate over-provisioned compute instances.
**Tiers**:
- Name: Standard Recovery · Price: ~20%–25% of realized monthly savings · Inclusions: Read-only cloud integration, Terraform/Pulumi state correlation, and automated right-sizing pull requests for unlimited scanned resources.
- Name: Enterprise Recovery · Price: ~10%–15% of realized monthly savings · Inclusions: High-volume cloud environments, priority support, custom compliance reporting, and intended SSO integrations.
**Guarantee**: The service is billed strictly on successful waste reduction; if no infrastructure spend is recovered, you pay absolutely zero.
**Business Function**: ProvideService
**Objection Handlers**:
- Write access risk: Designed to operate read-only, generating IaC pull requests instead of mutating state directly.
- Datadog overlap: Datadog shows metrics; we map those metrics back to the exact Terraform module.
- Savings subjectivity: Billing relies strictly on the explicit delta in your actual cloud provider invoice.
**Pricing Architecture**: UsageMeter
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Analytical and direct, anchored in precise architectural terminology.
**Tagline**: Match infrastructure code to resource utilization to recover cloud spend.
**Icon Concept**: server
**Palette Intent**: electric-signal
**Visual Identity**: Neon green highlights cut through deep charcoal backgrounds, utilizing strict monospace typography to structure dense infrastructure telemetry.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B: Evaluatestratum → DevOps Engineer → FinOps Director
**Gtm Motion**: Acquisition relies on providing a read-only IAM script that calculates immediate wasted spend in a single cloud account. Expansion triggers when the organization connects the tool to their central CI/CD pipeline to continuously analyze Terraform repositories across all engineering teams.
**Agent Channel**: Designed to register as an optimization tool in the Model Context Protocol (MCP) catalog and LangChain tool registries, enabling autonomous infrastructure agents to discover and execute resource utilization queries.
**Primary Channel**: Targeting GitHub Marketplace and the Terraform Registry, where platform engineers actively search for cost optimization actions to insert into their existing deployment workflows.

## Startup Customer Journey

```mermaid
flowchart LR; A[GitHub Marketplace] --> B[Read-Only IAM Script]; B --> C[Wasted Spend Report]; C --> D[Automated Right-Sizing PR]; D --> E[CI/CD Pipeline Integration]; E --> F[FinOps Dashboard]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day read-only integration pilot: Target scanning a single production cloud account to generate actionable right-sizing pull requests, proving a measurable baseline for invoice savings.
- 30-day staging environment test: Target mapping complete Pulumi state files to utilization metrics to safely merge automated cleanup pull requests, demonstrating immediate spend reduction.
**Target Metrics**:
- Target: 15-30% reduction in orphaned cloud resource spend.
- Aim: 10,000+ IaC resources mapped to billing utilization in under 10 minutes.
- Target: 90% merge acceptance rate for automated right-sizing pull requests.
- Aim: 0 direct state mutations due to strict read-only cloud integration.
**Target Case Studies**:
- Mid-market SaaS DevOps team: Target moving from manual cloud billing analysis to automated Terraform pull requests, reducing monthly compute spend by 20% without application downtime.
- Enterprise fintech infrastructure lead: Target correlating 50,000+ Pulumi resources to utilization metrics to identify and cleanly remove costly orphaned staging environments.
- High-growth startup CTO: Target implementing zero-risk read-only scanning to catch over-provisioned instances, translating cloud waste directly into exact Infrastructure as Code fixes.
**Testimonial Targets**:
- VP of Engineering: Needs to express relief that Evaluatestratum outputs direct Terraform pull requests via read-only access instead of generating yet another alert dashboard.
- Lead DevOps Engineer: Needs to validate that mapping billing metrics directly to specific IaC modules eliminates the tedious translation work required by standard monitoring tools.
- Head of Finance: Needs to highlight the zero-risk nature of the performance-based pricing, confirming fees are strictly tied to explicit cloud invoice deltas.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Customers dispute the baseline calculation of recovered cloud spend due to naturally fluctuating workloads, preventing the company from collecting revenue. · Mitigation Status: in-progress
- Severity: high · Description: Datadog or CloudHealth bundles automated infrastructure-as-code utilization mapping into their existing enterprise suites for free. · Mitigation Status: unmitigated
- Severity: high · Description: Cloud providers alter their granular billing API structures or rate limits, breaking the core correlation engine before it can be adapted. · Mitigation Status: in-progress
- Severity: moderate · Description: Security teams refuse to grant the platform read access to their private Git repositories containing the infrastructure-as-code definitions. · Mitigation Status: unmitigated

## Startup Competitors

- [CloudHealth](/Competitors/CloudHealth) — Incumbent
- [Datadog CSPM](/Competitors/Datadog_CSPM) — Incumbent
- [Manual AWS Console Audits](/Competitors/Manual_AWS_Console_Audits) — Status Quo
- [Vantage Cloud](/Competitors/Vantage_Cloud) — FinOps Platform
- [Cast AI](/Competitors/Cast_AI) — Cloud Cost Optimization

## Startup Solution Stack

- [Spend Recovery Service](/Services/Spend_Recovery_Service) — Service-as-Software
- [IaC Correlation Agent](/Agents/IaC_Correlation_Agent) — Agent
- [Resource Audit Worker](/Agents/Resource_Audit_Worker) — Agent
- [Deployment Ingestion API](/Software/Deployment_Ingestion_API) — Software
- [Cloud Telemetry Engine](/Software/Cloud_Telemetry_Engine) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the architect who builds efficient systems, not just expensive ones
- **Want**: to eliminate cloud waste without breaking production infrastructure
- **Identity**: the DevOps lead at a high-growth SaaS engineering team
**Plan**:
- Step: Select · Detail: Choose your Terraform or Pulumi repositories for read-only metadata scanning.
- Step: Confirm · Detail: Review the suggested right-sizing adjustments against your actual resource utilization metrics.
- Step: Merge · Detail: Approve the automated pull request to update your infrastructure code and recover spend.
**Guide**:
- **Empathy**: Budgets are won in quarterly reviews — but manual AWS audits miss the hidden costs of orphaned resources.
**Problem**:
- **Villain**: infrastructure drift
- **External**: AWS console audits fail to reveal which over-provisioned EC2 instances belong to which unoptimized Terraform modules.
- **Internal**: You feel responsible for the skyrocketing cloud bill but lack the visibility to fix it.
- **Philosophical**: Cloud engineering was built for elastic performance, not blank-check waste.
**Success**: Your infrastructure code matches your actual usage, resulting in a 20% reduction in cloud spend within a single billing cycle.
**One Liner**: Orphaned cloud resources cost engineering teams thousands in waste. Evaluatestratum correlates infrastructure-as-code with actual utilization so teams recover spend via automated pull requests.
**Positioning**:
- **So That**: recover cloud spend via automated code-level remediation
- **Unlike**: CloudHealth and manual console audits
- **For Whom**: DevOps leads at high-growth SaaS teams
- **Category**: Cloud Cost Optimization for DevOps
**Call To Action**:
- **Direct**: Run spend scan
- **Transitional**: Download recovery report
**Failure Stakes**:
- Ballooning AWS invoices
- Stalled engineering headcount budgets
- Critical resource sprawl
**Transformation**:
- **To**: one of the few leads who maintains perfect resource-to-code parity
- **From**: the engineer manually hunting ghosts in CloudHealth
**Controlling Idea**: Cloud infrastructure spend should reflect actual utilization, not unoptimized code.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Orphaned cloud resources cost engineering teams thousands in waste. Evaluatestratum correlates infrastructure-as-code with actual utilization so teams recover spend via automated pull requests.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 12df614fa7e5b750

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Cloud Cost Optimization for DevOps for DevOps leads at high-growth SaaS teams. Unlike CloudHealth and manual console audits — recover cloud spend via automated code-level remediation.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 2d01c260065a5a24

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: AWS console audits fail to reveal which over-provisioned EC2 instances belong to which unoptimized Terraform modules.
Solution: Orphaned cloud resources cost engineering teams thousands in waste. Evaluatestratum correlates infrastructure-as-code with actual utilization so teams recover spend via automated pull requests.
Customer: DevOps leads at high-growth SaaS teams
Unlike: CloudHealth and manual console audits
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: ca8cb7832fc318c8

## Startup Token M E D D P I C C

**Pain**: AWS console audits fail to reveal which over-provisioned EC2 instances belong to which unoptimized Terraform modules.
**Metrics**: Target: Your infrastructure code matches your actual usage, resulting in a 20% reduction in cloud spend within a single billing cycle.
**Rendered**: Pain: AWS console audits fail to reveal which over-provisioned EC2 instances belong to which unoptimized Terraform modules.
Economic buyer: DevOps Engineer
Metrics: Target: Your infrastructure code matches your actual usage, resulting in a 20% reduction in cloud spend within a single billing cycle.
Competition: CloudHealth and manual console audits
**Mechanism**: spine-derived-v1
**Competition**: CloudHealth and manual console audits
**Economic Buyer**: DevOps Engineer
**Vocab Fingerprint**: 91dc9699e1ffd0d0

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Cloud Cost Optimization for DevOps for DevOps leads at high-growth SaaS teams

DevOps leads at high-growth SaaS teams — AWS console audits fail to reveal which over-provisioned EC2 instances belong to which unoptimized Terraform modules. Orphaned cloud resources cost engineering teams thousands in waste. Evaluatestratum correlates infrastructure-as-code with actual utilization so teams recover spend via automated pull requests.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 3069bbfeddf94912

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Cloud Cost Optimization for DevOps. Orphaned cloud resources cost engineering teams thousands in waste. Evaluatestratum correlates infrastructure-as-code with actual utilization so teams recover spend via automated pull requests. Serves DevOps leads at high-growth SaaS teams.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 07da41615f1fe43f

## Neighborhood

### Candidate solutions

- [ABET Accreditation Data Collection](/Problems/ABET_Accreditation_Data_Collection) — candidate solution for · Problems

### Composed of

- [Accreditation Dossier Service](/Services/Accreditation_Dossier_Service) — composes · Services
- [LMS Extraction API](/Software/LMS_Extraction_API) — composes · Software
- [Multimodal Parsing Engine](/Software/Multimodal_Parsing_Engine) — composes · Software
- [Artifact Redaction Worker](/Agents/Artifact_Redaction_Worker) — composes · Agents
- [Rubric Correlation Agent](/Agents/Rubric_Correlation_Agent) — composes · Agents
- [Competency Mapping Worker](/Agents/Competency_Mapping_Worker) — composes · Agents
- [LMS Synchronization API](/Software/LMS_Synchronization_API) — composes · Software
- [Artifact Extraction Agent](/Agents/Artifact_Extraction_Agent) — composes · Agents
- [IaC Correlation Agent](/Agents/IaC_Correlation_Agent) — composes · Agents
- [Cloud Telemetry Engine](/Software/Cloud_Telemetry_Engine) — composes · Software
- [Deployment Ingestion API](/Software/Deployment_Ingestion_API) — composes · Software
- [Resource Audit Worker](/Agents/Resource_Audit_Worker) — composes · Agents
- [Spend Recovery Service](/Services/Spend_Recovery_Service) — composes · Services

### Competitors

- [Canvas LMS](/Competitors/Canvas_LMS) — competes with · Competitors
- [Spreadsheet Mapping](/Competitors/Spreadsheet_Mapping) — competes with · Competitors
- [Watermark](/Competitors/Watermark) — competes with · Competitors
- [HelioCampus](/Competitors/HelioCampus) — competes with · Competitors
- [Gradescope](/Competitors/Gradescope) — competes with · Competitors
- [manual spreadsheet mapping](/Competitors/manual_spreadsheet_mapping) — competes with · Competitors
- [manual folder curation](/Competitors/manual_folder_curation) — competes with · Competitors
- [Watermark Assessment](/Competitors/Watermark_Assessment) — competes with · Competitors
- [Blackboard Learn](/Competitors/Blackboard_Learn) — competes with · Competitors
- [shared departmental folders](/Competitors/shared_departmental_folders) — competes with · Competitors
- [Watermark Assessment Suite](/Competitors/Watermark_Assessment_Suite) — competes with · Competitors
- [HelioCampus Analytics](/Competitors/HelioCampus_Analytics) — competes with · Competitors
- [generic LMS gradebooks](/Competitors/generic_LMS_gradebooks) — competes with · Competitors
- [spreadsheet rubric mapping](/Competitors/spreadsheet_rubric_mapping) — competes with · Competitors
- [manual LMS gradebook exports](/Competitors/manual_LMS_gradebook_exports) — competes with · Competitors
- [Microsoft SharePoint](/Competitors/Microsoft_SharePoint) — competes with · Competitors
- [Manual LMS Extraction](/Competitors/Manual_LMS_Extraction) — competes with · Competitors
- [CloudHealth](/Competitors/CloudHealth) — competes with · Competitors
- [Cast AI](/Competitors/Cast_AI) — competes with · Competitors
- [Vantage Cloud](/Competitors/Vantage_Cloud) — competes with · Competitors
- [Manual AWS Console Audits](/Competitors/Manual_AWS_Console_Audits) — competes with · Competitors
- [Datadog CSPM](/Competitors/Datadog_CSPM) — competes with · Competitors

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses
- [Software](/Theses/Software) — embodies · Theses

### What it offers

- [Outcome Correlation Service](/Services/Outcome_Correlation_Service) — offers · Services
- [Artifact Mapping Service](/Services/Artifact_Mapping_Service) — offers · Services
- [Stratum Cost Correlator](/Software/Stratum_Cost_Correlator) — offers · Software

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