Keep AI Costs Under Control at Organizational Scale

Most organizations have no visibility into how much they spend on AI inference and token consumption across teams, models, and workflows. That lack of control leads to runaway costs, inefficient usage, and missed optimization opportunities.

token-omics gives you organizational-level visibility, governance, and intelligence to manage AI spending like infrastructure costs.

73%

Cost Reduction

The Challenge

Distributed AI Spending Creates a Blind Spot

When every team integrates their own AI models and APIs—Claude, GPT-4, open-source models via inference endpoints—costs multiply across your organization. Without a central view, you have no way to know:

Which teams or projects consume the most tokens
Whether your usage is efficient or redundant
How to forecast costs or enforce budgets
Which models or approaches represent waste

The result: surprise bills, underutilized contracts, and missed opportunities to optimize.

$847K

Average Annual Spend

Across engineering, product, data, and research teams with no central tracking

40%

Waste Typically Found

Redundant API calls, unused models, and inefficient prompt engineering

The Solution

Unified Visibility and Control

Compass acts as your organization's single source of truth for AI token consumption. By orchestrating API calls across models and providers, you gain real-time visibility into every prompt, every model, and every dollar spent.

From CFO to engineer, everyone sees the same metrics, the same budgets, and the same optimization opportunities.

100%

Token Visibility

Track every input and output token across all models and teams in one place

Real-Time

Cost Alerts

Be notified immediately when usage exceeds thresholds or budgets

Why It Works

Core Benefits for Your Organization

💰

Cut Costs Immediately

Identify and eliminate waste through usage analytics. Most organizations see 25–40% cost reduction in the first 90 days.

🎯

Set Smart Budgets

Allocate token budgets by team, project, or cost center. Enforce spending limits with automatic throttling or alerts.

📈

Optimize Model Choice

Compare cost and latency across models in real time. Switch to faster, cheaper alternatives without code changes.

🔍

Deep Insights

Drill into usage patterns by team, model, workflow, and prompt. Find inefficiencies no one knew existed.

🛡️

Governance at Scale

Define org-wide policies for approved models, cost limits, and audit requirements. Scale usage confidently.

🔄

Future-Proof Spending

As new models launch and pricing shifts, adjust allocations and strategies without rearchitecting your stack.

The Mechanism

How Compass Works

token-omics sits as a thin orchestration layer between your applications and AI model providers. No re-architecture needed.

Route All Calls

Point your AI API calls through Compass instead of directly to providers.

Measure & Track

Every call is logged, metered, and tagged with team, model, and project metadata.

Apply Policies

Enforce budgets, rate limits, model preferences, and compliance rules automatically.

Gain Insights

Access dashboards and reports to understand usage, predict costs, and optimize.

Real Results

What Organizations Achieve

With organizational-level tokenomics management, you move from reactive cost-cutting to proactive optimization.

✓ Finance teams know exactly what AI costs, forecast budget needs, and prove ROI.
✓ Engineering leaders optimize without constraints, knowing costs are visible and controlled.
✓ Compliance and security teams audit AI usage, enforce approvals, and prove governance.
✓ Product teams ship AI features faster with confidence that costs won't spiral.

3–6 mo

Time to ROI

Most customers see payback through cost savings alone

25–40%

Typical Savings

Through waste elimination and optimized model selection