Does the ProsperOps Platform use Artificial Intelligence?
The ProsperOps platform is built on rules-based linear programming, constraint-based modeling, and statistical forecasting. These are well-established deterministic optimization techniques that have been used for many years to solve large-scale decision problems.
Linear programming finds the best possible decision given an objective, such as maximizing your savings, and a set of real-world constraints like budget, commitment terms, and how your usage behaves, identifying the single best option out of millions of possibilities. There is no inference, no reasoning under uncertainty, and no model that evolves based on data exposure. It is a form of artificial intelligence that uses mathematical models to make complex decisions autonomously. It is the deterministic, transparent branch of AI, not the probabilistic, generative AI that most "AI" conversations now revolve around. That is why we describe ProsperOps as “autonomous” or "AI-enabled": the intelligence is rules-based and explainable, not a probabilistic black box.
The ProsperOps platform does not use generative AI, machine learning, or large language models. Your usage and billing data are never used to train a model, and nothing about your environment is used to build systems that serve other customers. It acts only within the guardrails you set, not through open-ended reasoning, and it is not an agentic system.
At its core, ProsperOps solves a complex problem that has multiple moving targets: capturing the deepest possible discount without compromising the financial flexibility or over-committing to capacity you might not end up using. It continuously monitors your usage and weighs an enormous number of commitment combinations, across the instruments and term lengths each provider offers, against the guardrails you defined. From that it autonomously executes a laddered portfolio of commitments and keeps adjusting it as your usage shifts. The goal is to hold your Effective Savings Rate near its practical maximum while preserving flexibility, which is extremely difficult to sustain via DIY methods since none of the inputs ever sit still. We have refined our strategies and deterministic algorithms over many years, on billions of dollars of usage, and across multiple cloud platforms, to deliver consistently optimal outcomes.
Finally, on your data: after you grant access, ProsperOps uses only the limited metadata needed to deliver the service, with narrowly scoped permissions that do not let it change your applications or see your application data. Learn more about it here.
Key technology facts about the ProsperOps platform
- It is built using advanced rules-based linear programming and statistical analysis.
- Our customers need not worry about their sensitive data being incorporated into AI models or datasets, because there are none.
- It does not use, train, or interact with machine learning (ML) models of any kind, large language models (LLMs) or any generative AI system.
- It is not an agentic solution.
- As AI is defined in the EU AI Act, AI is not used in the platform.