AI Gateway
Orchestrate LLMs with one API
Control your LLM traffic across 300+ models with built-in failovers, routing rules. Gain full visibility into latency, cost, and performance.
AI Gateway
Orchestrate LLMs with one API
Control your LLM traffic across 300+ models with built-in failovers, routing rules. Gain full visibility into latency, cost, and performance.
AI Gateway
Orchestrate LLMs with one API
Control your LLM traffic across 300+ models with built-in failovers, routing rules. Gain full visibility into latency, cost, and performance.
Centralize
Route
Observe
LLMs & PROVIDERS
Everything you need to unify your AI stack
LLMs & PROVIDERS
Everything you need to unify your AI stack
LLMs & PROVIDERS
Everything you need to unify your AI stack
Model Access
One API for all your AI models
Route to 17 providers and 300+ models with a single OpenAI-compatible gateway. Bring your own keys or models for full control.
Model Access
One API for all your AI models
Route to 17 providers and 300+ models with a single OpenAI-compatible gateway. Bring your own keys or models for full control.
Model Access
One API for all your AI models
Route to 17 providers and 300+ models with a single OpenAI-compatible gateway. Bring your own keys or models for full control.
Model Access
One API for all your AI models
Route to 17 providers and 300+ models with a single OpenAI-compatible gateway. Bring your own keys or models for full control.
Multi provider
Openai compatible
Bring your own keys
chat
vision
embeddings
Images
tts / stt
Multi-Modality
One interface for any modality
Handle chat, vision, image generation, embeddings, and rerankings with a unified API. Build and switch between models seamlessly.
Multi-Modality
One interface for any modality
Handle chat, vision, image generation, embeddings, and rerankings with a unified API. Build and switch between models seamlessly.
Multi-Modality
One interface for any modality
Handle chat, vision, image generation, embeddings, and rerankings with a unified API. Build and switch between models seamlessly.
Multi-Modality
One interface for any modality
Handle chat, vision, image generation, embeddings, and rerankings with a unified API. Build and switch between models seamlessly.
Retries & Fallbacks
Built-in redundancy for high uptime
Automatic failover and smart retries keep things running, even when a provider doesn’t.
Retries & Fallbacks
Built-in redundancy for high uptime
Automatic failover and smart retries keep things running, even when a provider doesn’t.
Retries & Fallbacks
Built-in redundancy for high uptime
Automatic failover and smart retries keep things running, even when a provider doesn’t.
Retries & Fallbacks
Built-in redundancy for high uptime
Automatic failover and smart retries keep things running, even when a provider doesn’t.
Reliability
Fallback logic
Auto-Retry
routing logic
canary releases
Progressive Rollouts
Business Rules Engine
Control the release of GenAI use cases
Carry out A/B tests and canary releases to production. Route updates to users based on context and business rules.
Business Rules Engine
Control the release of GenAI use cases
Carry out A/B tests and canary releases to production. Route updates to users based on context and business rules.
Business Rules Engine
Control the release of GenAI use cases
Carry out A/B tests and canary releases to production. Route updates to users based on context and business rules.
Business Rules Engine
Control the release of GenAI use cases
Carry out A/B tests and canary releases to production. Route updates to users based on context and business rules.
Dashboard & Analytics
Track every usage, end-to-end
Attribute usage and cost by user, app, or client. Maintain full visibility and governance across your AI ecosystem to ensure accountability and traceability.
Dashboard & Analytics
Track every usage, end-to-end
Attribute usage and cost by user, app, or client. Maintain full visibility and governance across your AI ecosystem to ensure accountability and traceability.
Dashboard & Analytics
Track every usage, end-to-end
Attribute usage and cost by user, app, or client. Maintain full visibility and governance across your AI ecosystem to ensure accountability and traceability.
Dashboard & Analytics
Track every usage, end-to-end
Attribute usage and cost by user, app, or client. Maintain full visibility and governance across your AI ecosystem to ensure accountability and traceability.
identity tracking
Observability
finops
caching
cost management
Smart Cache Layer
Cache smarter to speed up responses and reduce cost
Serve repeat queries instantly with configurable caching. Improve latency and reduce token costs.
Smart Cache Layer
Cache smarter to speed up responses and reduce cost
Serve repeat queries instantly with configurable caching. Improve latency and reduce token costs.
Smart Cache Layer
Cache smarter to speed up responses and reduce cost
Serve repeat queries instantly with configurable caching. Improve latency and reduce token costs.
Smart Cache Layer
Cache smarter to speed up responses and reduce cost
Serve repeat queries instantly with configurable caching. Improve latency and reduce token costs.
SOC2
ISO 27001
HIPAA
GDPR
Enterprise-Grade Compliance
Compliant by default, secure by design
SOC 2 certified, GDPR-ready and aligned with the EU AI Act. Choose data residency, enforce RBAC, mask PII and maintain full audit trails through the Gateway.
Enterprise-Grade Compliance
Compliant by default, secure by design
SOC 2 certified, GDPR-ready and aligned with the EU AI Act. Choose data residency, enforce RBAC, mask PII and maintain full audit trails through the Gateway.
Enterprise-Grade Compliance
Compliant by default, secure by design
SOC 2 certified, GDPR-ready and aligned with the EU AI Act. Choose data residency, enforce RBAC, mask PII and maintain full audit trails through the Gateway.
Enterprise-Grade Compliance
Compliant by default, secure by design
SOC 2 certified, GDPR-ready and aligned with the EU AI Act. Choose data residency, enforce RBAC, mask PII and maintain full audit trails through the Gateway.
Framework-agnostic
Openai compatible
SDK-Ready Integration
Plug into your stack and go live in minutes
Whether you’re using LangChain, Autogen, the OpenAI SDK or custom code, set your base URL to the Gateway and enjoy unified routing, observability and cost tracking.
SDK-Ready Integration
Plug into your stack and go live in minutes
Whether you’re using LangChain, Autogen, the OpenAI SDK or custom code, set your base URL to the Gateway and enjoy unified routing, observability and cost tracking.
SDK-Ready Integration
Plug into your stack and go live in minutes
Whether you’re using LangChain, Autogen, the OpenAI SDK or custom code, set your base URL to the Gateway and enjoy unified routing, observability and cost tracking.
SDK-Ready Integration
Plug into your stack and go live in minutes
Whether you’re using LangChain, Autogen, the OpenAI SDK or custom code, set your base URL to the Gateway and enjoy unified routing, observability and cost tracking.
Platform Solutions
Discover more solutions to build reliable AI products
Platform Solutions
Discover more solutions to build reliable AI products
Platform Solutions
Discover more solutions to build reliable AI products
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Integrates with your stack
Works with major providers and open-source models; popular vector stores & frameworks.
Why teams chose us
Why teams chose us
Why teams chose us
Assurance
Compliance & data protection
Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.
Assurance
Compliance & data protection
Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.
Assurance
Compliance & data protection
Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.
Assurance
Compliance & data protection
Orq.ai is SOC 2-certified, GDPR-compliant, and aligned with the EU AI Act. Designed to help teams navigate risk and build responsibly.
Flexibility
Multiple deployment options
Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.
Flexibility
Multiple deployment options
Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.
Flexibility
Multiple deployment options
Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.
Flexibility
Multiple deployment options
Run in the cloud, inside your VPC, or fully on-premise. Choose the model hosting setup that fits your security requirements.
Enterprise ready
Access controls & data privacy
Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.
Enterprise ready
Access controls & data privacy
Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.
Enterprise ready
Access controls & data privacy
Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.
Enterprise ready
Access controls & data privacy
Define custom permissions with role-based access control. Use built-in PII and response masking to protect sensitive data.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
Transparency
Flexible data residency
Choose from US or EU-based model hosting. Store and process sensitive data regionally across both open and closed ecosystems.
FAQ
Frequently asked questions
What is an AI Gateway, and how does it work?
An AI Gateway is a centralized platform that manages, routes, and optimizes API calls to multiple large language models (LLMs). It acts as a control hub for software teams, enabling seamless integration with different AI providers while ensuring security, scalability, and cost efficiency.
With an AI Gateway like Orq.ai, teams can:
Route requests to the best-performing LLM based on cost, latency, or accuracy.
Monitor and control AI-generated outputs in real time.
Optimize performance by dynamically selecting the right model for each task.
By using an AI Gateway, businesses can reduce vendor lock-in, improve reliability, and scale AI applications efficiently.
Why do software teams need an AI Gateway?
Software teams building AI-powered applications often struggle with managing multiple LLM providers, API limits, and unpredictable costs. An AI Gateway helps solve these challenges by:
Providing failover mechanisms to ensure uptime even if an LLM provider experiences downtime.
Offering multi-model orchestration to distribute workloads across different AI models based on pricing, response time, or accuracy.
Enhancing security by enforcing rate limiting, authentication, and compliance standards.
Improving cost efficiency by selecting the most affordable model for each request dynamically.
With an AI Gateway, teams can focus on building and optimizing AI applications rather than dealing with infrastructure complexities.
How does an AI Gateway help optimize LLM performance?
An AI Gateway optimizes LLM performance through:
Dynamic Model Routing: Automatically directing queries to the most suitable model based on performance metrics.
Real-time Output Control: Applying content filtering, moderation, and structured guardrails to refine AI responses.
Latency and Cost Management: Balancing between response speed and pricing to ensure cost-effective operations.
Observability and Analytics: Providing insights into API usage, response times, and model accuracy to enhance decision-making.
By implementing these features, an AI Gateway maximizes efficiency, ensuring applications run smoothly at scale.
Can an AI Gateway reduce LLM costs?
Yes, an AI Gateway can significantly reduce LLM costs by:
Routing queries to the most cost-effective model instead of always using the most expensive provider.
Implementing rate limiting and caching to minimize redundant API calls.
Using adaptive throttling to prevent unnecessary requests during peak traffic.
Providing usage analytics to help teams optimize model selection and reduce overuse.
By leveraging an AI Gateway, businesses can control AI expenditures while maintaining high-quality performance.
How does Orq.ai’s AI Gateway compare to direct LLM API access?
Orq.ai’s AI Gateway offers multi-model support, unlike direct LLM API access, which locks teams into a single provider. It includes intelligent routing and failover, ensuring reliability even if a model goes down.
With real-time control features like filtering, throttling, and observability, Orq.ai provides greater flexibility. It also optimizes costs by dynamically selecting the most affordable model, unlike static provider pricing. Additionally, enterprise-grade security ensures compliance beyond standard API protections.
By using Orq.ai’s AI Gateway, teams gain better performance, cost efficiency, and control over their AI applications.
What is an AI Gateway, and how does it work?
An AI Gateway is a centralized platform that manages, routes, and optimizes API calls to multiple large language models (LLMs). It acts as a control hub for software teams, enabling seamless integration with different AI providers while ensuring security, scalability, and cost efficiency.
With an AI Gateway like Orq.ai, teams can:
Route requests to the best-performing LLM based on cost, latency, or accuracy.
Monitor and control AI-generated outputs in real time.
Optimize performance by dynamically selecting the right model for each task.
By using an AI Gateway, businesses can reduce vendor lock-in, improve reliability, and scale AI applications efficiently.
Why do software teams need an AI Gateway?
Software teams building AI-powered applications often struggle with managing multiple LLM providers, API limits, and unpredictable costs. An AI Gateway helps solve these challenges by:
Providing failover mechanisms to ensure uptime even if an LLM provider experiences downtime.
Offering multi-model orchestration to distribute workloads across different AI models based on pricing, response time, or accuracy.
Enhancing security by enforcing rate limiting, authentication, and compliance standards.
Improving cost efficiency by selecting the most affordable model for each request dynamically.
With an AI Gateway, teams can focus on building and optimizing AI applications rather than dealing with infrastructure complexities.
How does an AI Gateway help optimize LLM performance?
An AI Gateway optimizes LLM performance through:
Dynamic Model Routing: Automatically directing queries to the most suitable model based on performance metrics.
Real-time Output Control: Applying content filtering, moderation, and structured guardrails to refine AI responses.
Latency and Cost Management: Balancing between response speed and pricing to ensure cost-effective operations.
Observability and Analytics: Providing insights into API usage, response times, and model accuracy to enhance decision-making.
By implementing these features, an AI Gateway maximizes efficiency, ensuring applications run smoothly at scale.
Can an AI Gateway reduce LLM costs?
Yes, an AI Gateway can significantly reduce LLM costs by:
Routing queries to the most cost-effective model instead of always using the most expensive provider.
Implementing rate limiting and caching to minimize redundant API calls.
Using adaptive throttling to prevent unnecessary requests during peak traffic.
Providing usage analytics to help teams optimize model selection and reduce overuse.
By leveraging an AI Gateway, businesses can control AI expenditures while maintaining high-quality performance.
How does Orq.ai’s AI Gateway compare to direct LLM API access?
Orq.ai’s AI Gateway offers multi-model support, unlike direct LLM API access, which locks teams into a single provider. It includes intelligent routing and failover, ensuring reliability even if a model goes down.
With real-time control features like filtering, throttling, and observability, Orq.ai provides greater flexibility. It also optimizes costs by dynamically selecting the most affordable model, unlike static provider pricing. Additionally, enterprise-grade security ensures compliance beyond standard API protections.
By using Orq.ai’s AI Gateway, teams gain better performance, cost efficiency, and control over their AI applications.
What is an AI Gateway, and how does it work?
An AI Gateway is a centralized platform that manages, routes, and optimizes API calls to multiple large language models (LLMs). It acts as a control hub for software teams, enabling seamless integration with different AI providers while ensuring security, scalability, and cost efficiency.
With an AI Gateway like Orq.ai, teams can:
Route requests to the best-performing LLM based on cost, latency, or accuracy.
Monitor and control AI-generated outputs in real time.
Optimize performance by dynamically selecting the right model for each task.
By using an AI Gateway, businesses can reduce vendor lock-in, improve reliability, and scale AI applications efficiently.
Why do software teams need an AI Gateway?
Software teams building AI-powered applications often struggle with managing multiple LLM providers, API limits, and unpredictable costs. An AI Gateway helps solve these challenges by:
Providing failover mechanisms to ensure uptime even if an LLM provider experiences downtime.
Offering multi-model orchestration to distribute workloads across different AI models based on pricing, response time, or accuracy.
Enhancing security by enforcing rate limiting, authentication, and compliance standards.
Improving cost efficiency by selecting the most affordable model for each request dynamically.
With an AI Gateway, teams can focus on building and optimizing AI applications rather than dealing with infrastructure complexities.
How does an AI Gateway help optimize LLM performance?
An AI Gateway optimizes LLM performance through:
Dynamic Model Routing: Automatically directing queries to the most suitable model based on performance metrics.
Real-time Output Control: Applying content filtering, moderation, and structured guardrails to refine AI responses.
Latency and Cost Management: Balancing between response speed and pricing to ensure cost-effective operations.
Observability and Analytics: Providing insights into API usage, response times, and model accuracy to enhance decision-making.
By implementing these features, an AI Gateway maximizes efficiency, ensuring applications run smoothly at scale.
Can an AI Gateway reduce LLM costs?
Yes, an AI Gateway can significantly reduce LLM costs by:
Routing queries to the most cost-effective model instead of always using the most expensive provider.
Implementing rate limiting and caching to minimize redundant API calls.
Using adaptive throttling to prevent unnecessary requests during peak traffic.
Providing usage analytics to help teams optimize model selection and reduce overuse.
By leveraging an AI Gateway, businesses can control AI expenditures while maintaining high-quality performance.
How does Orq.ai’s AI Gateway compare to direct LLM API access?
Orq.ai’s AI Gateway offers multi-model support, unlike direct LLM API access, which locks teams into a single provider. It includes intelligent routing and failover, ensuring reliability even if a model goes down.
With real-time control features like filtering, throttling, and observability, Orq.ai provides greater flexibility. It also optimizes costs by dynamically selecting the most affordable model, unlike static provider pricing. Additionally, enterprise-grade security ensures compliance beyond standard API protections.
By using Orq.ai’s AI Gateway, teams gain better performance, cost efficiency, and control over their AI applications.
Enterprise control tower for security, visibility, and team collaboration.
Enterprise control tower for security, visibility, and team collaboration.