Centrally access hundreds of AI models with robust control and deploy faster, with less friction.
The AI Gateway centralizes every critical layer of LLM operations—routing, security, monitoring, and billing—into a single control point, enabling unified governance, streamlined integration, and full-stack visibility.
Maintain system availability during outages or provider failures with built-in failover and automatic recovery mechanisms.
Optimize performance and reliability by dynamically routing requests across providers based on cost, latency, or policy.
Access multiple LLMs through a single integration point simplifying operations, reducing overhead, and speeding delivery.
Leverage advanced threat detection to identify and respond to unusual patterns and behaviors.
NeuralTrust is a high-performance, distributed AI gateway that outperforms all alternatives on the market in both execution speed and detection accuracy.
NeuralTrust enables seamless switching between clouds, model providers, and applications, ensuring that security and governance remain agnostic, independent, and adaptable to your future vendor choices.
Maintain consistent enterprise security and governance frameworks, regardless of your evolving technology stack.
Leverage a plugin-based architecture designed for flexible extensibility, enabling anyone to easily add new features.
Avoid vendor lock-in through a decoupling layer that offers the flexibility to move across clouds and model providers.
Future-proof your LLM architecture with complete access to the AI Gateway’s core functionality under a fully open source license.
The AI Gateway goes beyond security, providing critical tools to effectively scale generative AI —preparing your organization for the era of conversational AI.
Reduce service costs and latency with enterprise-wide semantic caching, reusing responses for fundamentally equivalent questions.
Set granular rate limits and settings for each user group on specific endpoints, enabling tailored role-based access control.
Gain complete control over your AI traffic with features like load balancing, A/B testing, model switching, and dynamic scaling.
Monitor and manage token consumption with precision, enabling granular oversight for each application and consumer group.