Finance-grade attribution, active governance, and budgeted execution for Production AI applications. Integrate Koreflow to your AI calls to prevent runaway loops and stabilize unit economics in real time.
Two forces make AI cost impossible to predict with traditional monitoring — and both compound inside a single user session.
User Invocation triggers recursive validation logic, self-correction, and nested loops that cascade past the Runaway Threshold Boundary.
The exact same API route scales costs by orders of magnitude based on payload complexity (e.g., summarizing 30 pages vs. 3,000 pages).
"Our top customer increased usage by 40% this month, but total gross margin dropped. Are we actually making money on these users, or are we subsidizing their token bills?"
"Our LLM spend changes wildly every week based on arbitrary user behavior. How can we plan our runway or pricing tiers when our underlying COGS is a moving target?"
"A single user action or a rogue background loop can trigger massive cost anomalies. Why do we have to wait for the cloud invoice to find out?"
Bring financial accountability to your production workloads without slowing down engineering.
Slice and dice spend by Feature, Pipeline, Customer, App, and Environment using actual business dimensions.
Evaluate budget policy checks synchronously at the call boundary to alert, throttle, or halt executions before they cost you money.
View trends, model unit economics, and test alternative scenarios to protect your margins before deploying code.
Break down AI usage and cost by the parts of business driving it, not just by model. Every dimension you tag is immediately available, so "where is this money going?" is just one click away.

Maps every model execution directly to your actual business dimensions in real time. Instantly answer the critical unit-economic questions finance keeps asking: Which customers are underwater? What is our exact COGS on onboarding vs. support? And are we actually making money on our highest-usage tiers, or are we subsidizing their token bills?

Budget policy checks run synchronously at the call boundary, before the dollars leave your account. Escalate and handle issues before the invoice arrives.
9,193 enforcement actions stopped in a 30d window
Move from backward-looking invoices to forward-looking predictability.
Kora is your Koreflow AI helper.
Translates complex spend telemetry into clear, executive-ready insights.
Analyzes data in real-time to answer questions, produce reports and configure your system.
Integrates Koreflow into your code base.

Koreflow generates meaningful insights from your data. Spend spikes, model improvements,
customer usage anomalies and more.
Configure what insights interest you and see the magic happen.

The visibility of a SaaS analytics tool, with the trust boundary of software you run yourself.
Run fully inside your own AWS, GCP, or Azure perimeter. Telemetry is captured and processed locally — meaning your customer data, prompt payloads, and raw model tokens never leave your network boundary.
You own the deployment, the database, and the AI keys. No third-party API dependencies holding your sensitive production data or operational credentials. Your system configurations stay entirely under your control.
Designed for zero-latency impact on the critical hot path. Telemetry is offloaded asynchronously, and the proxy fails open — if your infrastructure experiences an issue, your production AI application never goes down.
Your budget parameters and routing rules live as plain declarative files in your own Git repository. Version, audit, and deploy changes through your existing CI/CD pipelines. No vendor lock-in, ever.
Two decades of infrastructure and reliability engineering, paired with enterprise-AI product leadership — the ingredients it takes to make AI spend accountable.
YBNearly two decades in infrastructure, reliability, and DevOps — turning messy systems into platforms you can observe, predict, and trust. He builds the engine that makes AI usage into numbers you can defend.
Connect on LinkedIn yuri@koreflow.com
YGA veteran product leader building at the intersection of enterprise software, customer experience, and AI. Yinon focuses on turning complex, high-throughput AI workloads into structured, financially predictable products that protect company margins.
Connect on LinkedIn yinon@koreflow.comBring your use case and we'll walk you through a live demo — see exactly how your business would look with every AI dollar attributed, forecastable, and under control.
Prefer email? yuri@koreflow.com · yinon@koreflow.com