Introducing Mizan

AI usage is growing faster than AI visibility

Building with AI has become easier. OpenAI made models accessible. Anthropic made them thoughtful. Google, Meta, and open-source communities made them free. Today, spinning up an AI feature takes minutes — a simple API call, a prompt, and you're running inference.

But managing AI has become harder.

Teams start with one provider. A startup begins with OpenAI. A bank experiments with Anthropic. An enterprise hedges across multiple clouds. Then, gradually, the picture becomes complex. An AI image tool adds Claude. Your coding assistant starts offering Gemini. A customer success team signs up for specialized models. Teams start building with open-source alternatives to reduce costs.

Meanwhile, engineers optimize for capability and latency. They're not thinking about cost. Finance receives scattered invoices. API credentials live in three different systems. There is no single source of truth for AI spend.

This is the problem Mizan was built to solve.

Introducing Mizan

Mizan is an AI spend and infrastructure layer. It sits between your applications and the AI providers your organization uses. Instead of scattering API keys across systems and invoices across providers, Mizan is the one layer where routing, tracking, and optimization happen.

Our core idea is simple: Route. Track. Reduce.

Mizan is not simply another model interface. It's designed to help organizations make AI usage economically sustainable — to connect the technical reality of AI infrastructure with the financial reality of AI bills.

One platform. Three ways to spend less.

The Router

At its core, Mizan is a single API layer. Instead of maintaining separate integrations with OpenAI, Anthropic, Gemini, and others, one Mizan API key gives you access to them all.

Developers can switch models by changing a string in their code. No rebuilding integrations. No new SDKs. The Mizan API is OpenAI-compatible — change your base URL, and you're live:

// Instead of:
openai.api_base = "https://api.openai.com/v1"

// Use Mizan:
openai.api_base = "https://api.app-mizan.com/v1"

Every call is tracked in real time. You see tokens, latency, cost, and which provider handled it — all without building custom monitoring.

Projects and scoped API keys let you organize spend. Issue one key per team, per application, or per environment. Track spend globally, or drill into a specific project.

The Analyst

Mizan brings AI spend into one view. Not just API spend routed through Mizan — all AI spend.

Connect admin keys from your AI providers, and Mizan syncs their usage in real time. See what OpenAI charged, what Anthropic charged, what you paid for subscriptions.

Sync your Gmail or Outlook inbox, and Mizan automatically backfills AI subscription receipts. Upload receipts manually if you prefer. The point is: every dollar you spend on AI is visible in one dashboard.

The Analyst layer is where technical teams and finance teams speak the same language. Engineers care about models, latency, and reliability. Finance cares about budgets, cost per use case, and spend patterns. Mizan connects those views.

Khabir: The Frugal

Visibility alone is not enough. Mizan's optimization layer — Khabir — analyzes your real usage and tells you where to cut.

Khabir flags duplicate subscriptions. It identifies overspending on pricier models when cheaper alternatives could work. It suggests caching strategies and points out opportunities to reduce redundant spend. Every day, without being asked, it surfaces actionable advice.

This is not about making false promises. We're not claiming arbitrary percentage savings. Instead, Khabir helps you reduce unnecessary AI spend while preserving the performance your workloads require.

Built for developers, useful to finance

The gap between technical and financial decision-making has always existed. But AI spend is starting to matter enough that it's forcing that conversation.

Mizan sits in the middle. Developers get a simple API and the models they want. Finance gets visibility, budgets, and anomaly alerts. Both teams see the same numbers.

No custom exports. No spreadsheet reconciliation. One platform that speaks both languages.

Why "Mizan"?

Mizan means balance. We picked the name because AI spend is fundamentally about balance:

• Balance between capability and cost
• Balance between speed and quality
• Balance between experimentation and control
• Balance between AI adoption and economic sustainability

As organizations scale their AI usage, they need a way to keep that balance. That's what Mizan is built to do.

We are just getting started

Today, Mizan is focused on routing, visibility, and optimization. But the product is going to keep growing.

We're working on richer enterprise controls. Deeper integrations with more tools and frameworks. Better ways for technical teams and finance teams to work together. And a broader platform around the entire AI cost stack.

The core insight — that AI spend needs to be controlled at the infrastructure layer — is just the beginning.

Start weighing your AI spend.