AI cost visibility without compromise
We're building the cost attribution platform we wished existed when we were running AI workloads in regulated industries.
Our Story
When AI adoption accelerated in 2023, we saw a pattern: companies were deploying LLMs into production without any visibility into costs. Finance teams were getting surprise bills. Product managers couldn't tell which features were profitable. And worst of all, the tools that existed to solve this required proxying all your traffic through third-party servers.
For companies in healthcare, finance, and legal industries, that's a non-starter. HIPAA, PCI-DSS, and attorney-client privilege mean you can't just route your LLM traffic through someone else's infrastructure. These companies were left in the dark.
We asked a simple question: what if you could track AI costs without ever seeing the actual content?
That insight led to InfraPrism. Our SDK-only architecture extracts only the metadata needed for cost calculation—token counts, model used, latency—while your actual prompts and completions go directly to OpenAI or Anthropic. We never see them. We never store them. We can't access them even if we wanted to.
Our Values
Privacy First
We believe you shouldn't have to sacrifice privacy for visibility. Our SDK-only architecture proves it's possible to have both.
Radical Transparency
We're clear about exactly what data we collect, how we use it, and what we'll never touch. No hidden agendas.
Simplicity
Complex problems deserve simple solutions. One line of code to integrate. Clear pricing. No vendor lock-in.
Customer Obsession
We build for the CFOs and finance teams who need answers, not just the engineers who implement.
Who We Serve
Healthcare
HIPAA-compliant cost tracking for AI-powered clinical tools and patient services.
Financial Services
PCI-compliant monitoring for AI in trading, compliance, and customer service.
Legal
Privilege-preserving cost attribution for AI legal research and document review.
Ready to get started?
Join companies using InfraPrism to understand their AI spend.