INNOVATION LAB
LLM Gateway
Enterprise Generative AI Governance
Under Development
Global TAM: $15BEnterprise AI Governance
The Problem
- Enterprises deploying GenAI face uncontrolled costs exceeding $10M/year as teams independently provision API keys across dozens of models and providers
- Shadow AI usage is rampant — employees paste sensitive data into ChatGPT, Copilot, and other tools with zero visibility or governance
- Model sprawl across GPT-4, Claude, Gemini, Llama, and dozens of fine-tuned variants creates operational chaos with no ROI measurement
- Data leakage risks are existential: one employee pasting customer PII or source code into an external AI service can trigger regulatory action and reputational damage
How LLM Gateway Works
AI Usage Governance
Provides centralized control of all GenAI usage across the enterprise with per-team quotas, model allow-lists, prompt auditing, and real-time usage dashboards.
Cost Optimization
Routes queries to optimal models based on complexity — GPT-4 for reasoning, Phi-3.5 for simple tasks — reducing AI compute costs by 60-80% without quality loss.
Data Leakage Prevention
Scans every prompt and response for PII, source code, credentials, and trade secrets, blocking sensitive data from reaching external AI services in real time.
Key Metrics
$15B
Global TAM
$100-250M/yr
Annual Value
Under Development
Status
500+
Target Customers
Target Industries
Fortune 500 Enterprises
Financial Services
Healthcare Systems
Government Agencies
Technology Companies
Interested in LLM Gateway?
Contact our innovation team to explore enterprise GenAI governance.