One Intelligent Gateway for Every AI Interaction
A single control plane that routes every query between local models, public LLMs, and MCP servers — optimizing for cost, latency, and compliance automatically. Less than 50ms overhead.
on any annual plan
Govern every prompt, model and AI agent
Valid until June 30, 2026. Not combinable with the annual billing discount.
A single control plane that routes every query between local models, public LLMs, and MCP servers — optimizing for cost, latency, and compliance automatically. Less than 50ms overhead.
Sound Familiar?
If your teams are using AI without a central gateway, you're likely facing these problems today.
Teams default to expensive frontier models for simple tasks. Nobody knows what each department spends, and there's no way to enforce cost-efficient routing.
Every team manages its own provider relationships, API keys, and billing. IT has no inventory, no central access control, and no way to revoke credentials at scale.
When a provider goes down, your AI-powered workflows go down with it. There's no automatic fallback, no retry logic, and no routing around outages.
There's no routing logic to keep confidential queries on-premises. Customer data, proprietary code, and financial records flow to cloud LLMs by default.
You can't see which models are being called, how many tokens are consumed, or what the per-query cost is. When something breaks, there's no trace to debug.
No audit trail for AI interactions means no way to prove compliance. Regulated industries need a record of every query, every model decision, and every response.
Architecture
If your teams are using AI without a central gateway, you're likely facing these problems today
Capabilities
Each component works together to give you cost control, performance, access governance, and data sovereignty — out of the box.
Automatically directs queries to the optimal model or MCP server based on task complexity, cost, and latency targets. No manual selection required.
✓ Complexity-aware model matching
✓ Routes across LLMs, local models, and MCP servers
✓ Automatic failover across providers
✓ Custom routing rules per department
Prompt compression, model weight arbitrage, local LLM offloading, and real-time per-department billing visibility — reducing spend by an average of 40%.
✓ Prompt compression & token optimization
✓ Model output arbitrage across providers
✓ Per-department billing & cost dashboards
✓ Local LLM offloading for simple tasks
Role-based permissions restrict which teams can access which models, with full audit logging for every single request flowing through the gateway.
✓ Role-based model access permissions
✓ Department-level usage quotas
✓ Full audit trail for every interaction
✓ SSO / SAML integration
Route data through the gateway to train local LLMs, ensuring sensitive information never leaves your infrastructure while improving model performance.
✓ On-premises model hosting & training
✓ Data residency controls by geography
✓ Sensitive data auto-routed to local models
✓ Air-gapped deployment support
Integration
The Gateway is fully compatible with the OpenAI API format. Switch your base URL, and all existing code works instantly — no SDK changes, no refactoring. You gain routing, optimization, and governance with one line.
🔴🟡🟢 gateway-example.com
from openai import OpenAI
client = OpenAI( base_url="https://gateway.optscale.ai/v1", api_key="kf-your-api-key" )
response = client.chat.completions.create(
model="auto", # Gateway picks the best model
messages=[{ "role": "user", "content": "Summarize Q3 revenue trends" }],
max_tokens=1000)
print(response.choices[0].message.content)
# Model used: llama-3-8b (routed by gateway)
# Cost: $0.0003 (vs $0.012 with GPT-4)
# Latency: 340ms
Explore the Platform
Start free with up to 5 seats. Deploy the gateway in hours, see cost savings within weeks.
US Office:
1250 Borregas Avenue Sunnyvale, CA 94089, US
UK Office:
124 City Road, London, EC1V 2NX, United Kingdom