CloudZero
Cast.ai
nOps
Spot.io
Cloudability
Vantage
Kubecost
Flexera
No13thFloor
CloudNuro.ai
Zylo
MarginDash
Zluri
BetterCloud
Cast.ai
Flexera
WHAT DOES IT DO? Scores Ai model spend in 60 seconds to surface hidden waste, oversized models, inefficient workloads, poor cost-to-value ratio
WHO IS IT FOR? CTOs, VPs of Engineering, and AI/ML teams at companies spending $5K+/month on AI infrastructure
HOW DOES IT WORK? User submits AI spend data โ scoring engine calculates a "Floor Score" โ highlights waste areas โ offers paid audit for full remediation
CloudZero
No13thFloorNo13thFloor's answer:
I built No13thFloor.org for founders, engineering teams, and AI operators who are spending money on inference and want to know whether they are overpaying for model size, architecture, or deployment choices. It is especially useful for SaaS teams and AI product teams running support, automation, copilots, or agents where model inefficiency quietly compounds over time.
No13thFloor's answer:
Our strongest customers are AI native startups, SaaS companies adding LLM features, and engineering teams that want to eliminate oversized model spend before it scales into a larger operational problem. We are built for organizations that care about AI performance and cost at the same time, especially teams running production support, automation, and agent workflows.
No13thFloor's answer:
I built No13thFloor.org to expose the hidden waste inside AI systems that most teams never see until it has already drained budget and margin. What makes it unique is that it turns that hidden waste into a fast, concrete signal with a โFloor Scoreโ in about 60 seconds, along with clear model right-sizing and architecture guidance.
No13thFloor's answer:
People choose No13thFloor.org because we make AI waste visible immediately, without friction, without signup barriers, and without making teams sit through a long audit process just to understand what is wrong. We give a practical output- estimated monthly waste, annual waste, oversize ratio, and recommended architecture- so users can move from suspicion to action fast.
No13thFloor's answer:
The idea behind No13thFloor.org comes from the missing 13th floor in buildings: everyone knows it is there, but it is hidden in plain sight. That is exactly how AI waste works, so I built No13thFloor.org around that metaphor and made the brand promise explicit: โYour AI Has a 13th Floor. We Find It.โ
No13thFloor's answer:
No13thFloor.org is built as a Python-based application with a lightweight web workflow for scoring and analysis. It also uses Groq-powered model analysis, and the project is structured so it can be self-hosted with standard environment configuration and Python dependencies.
Cast.ai - CAST AI is an AI-driven platform designed to optimize cloud usage and reduce costs by over 60%. It is an all-in-one solution for Kubernetes monitoring, automation, optimization, and security.
CloudNuro.ai - CloudNuro is a leader in Enterprise SaaS Management Platforms, giving enterprises unmatched visibility, governance and cost optimization. CloudNuro is trusted by global enterprises and government agencies to bring financial discipline to SaaS & Cloud
nOps - Cloud management for AWS. Track changes, costs, performance, security, & continuous compliance with AWS Well-Architected Framework.
Zylo - Zylo helps organizations optimize their SaaS investments by providing insights around Spend, Utilization, and User Feedback.
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
MarginDash - Track AI cost and margin per customer. Real-time profitability insights, Stripe revenue sync, budget alerts, and a cost simulator to find cheaper models without changing code.