TrueFoundry Recognized by Gartner in 2026 AI Gateway Market Guide, Highlighting Its Enterprise-Grade AI Infrastructure Platform
TrueFoundry, an enterprise AI infrastructure platform focused on enabling organizations to securely build and scale Agentic AI systems, has announced that it has been named a Representative Vendor in the 2025 Market Guide for AI Gateways published by Gartner. The recognition underscores the growing importance of AI gateways as enterprises accelerate their adoption of multimodal and generative AI applications across business functions.
Growing Importance of AI Gateways in Enterprise AI
The 2025 Gartner Market Guide highlights a major shift underway in the AI infrastructure landscape. According to the report, by 2028, 70% of software engineering teams building multimodal applications will use AI gateways to enhance reliability and optimize operational costs. This projection signals a decisive move toward structured, governed AI operations, particularly as enterprises move from experimentation to large-scale production deployments.
Gartner defines an AI gateway as a platform or technology layer that acts as an intermediary between applications and various AI services or models. Rather than allowing applications to interact directly with large language models (LLMs), vision models, speech systems, or other AI services, the gateway provides a centralized control plane. This control plane enables organizations to secure, monitor, govern, and optimize AI workloads in a consistent and scalable way.
In practical terms, an AI gateway functions similarly to an API gateway in traditional software architecture, but with enhanced capabilities tailored to AI systems. It manages routing, authentication, rate limiting, observability, cost control, model selection, failovers, and guardrails. As enterprises increasingly deploy AI across customer support, internal operations, analytics, software development, and decision-making processes, such centralized orchestration becomes critical.
Addressing the Enterprise AI Scaling Challenge
While building AI models and prototypes has become significantly easier in recent years, scaling AI systems within enterprise environments introduces new complexities. Organizations must manage multiple models across different providers, handle fluctuating demand, enforce compliance requirements, monitor performance, and optimize costs — all while maintaining reliability.
TrueFoundry’s leadership emphasizes that this scaling challenge is where many enterprises struggle.
“Creating models is easy, but governance, control, and reliability don’t scale automatically,” said Nikunj Bajaj, Co-Founder and CEO of TrueFoundry. He noted that as organizations deploy AI applications across departments and geographies, fragmented infrastructure often leads to inefficiencies, security risks, and unpredictable costs.
Enterprises frequently work with multiple AI providers — including proprietary and open-source models — to meet varied performance, latency, and cost requirements. Without a unified orchestration layer, teams may duplicate integrations, lack visibility into usage patterns, and struggle to enforce consistent guardrails. This fragmented environment increases both operational complexity and financial overhead.
TrueFoundry’s AI Gateway: A Central Control Plane
Launched in December 2025, TrueFoundry’s AI Gateway is designed to serve as a centralized hub for managing AI workloads at scale. The platform allows enterprises to control models, prompts, guardrails, MCP servers, and other agents through a unified interface.
At its core, the AI Gateway provides:
- Model Management: Enterprises can route requests dynamically across multiple AI models, balancing performance and cost. This flexibility enables teams to select the most appropriate model for each use case.
- Prompt Governance: Organizations can standardize and version prompts, ensuring consistency across teams and minimizing the risk of errors or policy violations.
- Guardrails and Compliance Controls: The gateway integrates guardrails to enforce safety, privacy, and compliance policies, helping enterprises meet regulatory requirements and internal governance standards.
- Observability and Monitoring: Real-time analytics and monitoring capabilities allow teams to track usage, latency, success rates, and costs. This visibility supports proactive optimization and troubleshooting.
- Reliability Through Routing and Failovers: Built-in routing logic and failover mechanisms enhance resilience by automatically redirecting traffic if a provider experiences downtime or degraded performance.
- Agentic Orchestration: As enterprises move toward agent-based AI systems, the gateway supports coordination between multiple agents and services, enabling more complex workflows.
By consolidating these functions into a single control plane, TrueFoundry aims to simplify the increasingly complex generative AI stack. Instead of managing integrations separately across teams, enterprises can standardize AI operations organization-wide.
Optimizing Costs and Improving Efficiency
Cost optimization is one of the primary drivers behind the adoption of AI gateways. Generative AI workloads can become expensive quickly, particularly when scaled across thousands or millions of requests. Enterprises must balance performance and cost while maintaining quality of service.
TrueFoundry reports that more than 10 billion requests per month are processed through its AI Gateway, reflecting significant production usage across enterprise customers. The company states that its platform helps organizations monitor spending in real time, compare model performance against cost metrics, and intelligently route traffic to optimize resource utilization.
By centralizing AI access, enterprises gain granular visibility into which teams or applications are driving usage. This transparency enables better budgeting, forecasting, and internal accountability.
Enabling Agentic AI at Scale
TrueFoundry positions itself as more than just an AI gateway provider. The company describes its broader mission as enabling “Agentic AI” — AI systems composed of autonomous agents that collaborate to perform tasks and execute workflows.
In addition to its AI Gateway, TrueFoundry offers an Agentic Deployment platform that manages more than 1,000 clusters globally. This infrastructure supports the secure and scalable deployment of AI agents across hybrid and multi-cloud environments.
As enterprises increasingly experiment with agent-based systems — where AI models plan, reason, and execute actions autonomously — infrastructure complexity rises. Coordinating multiple agents requires robust governance, observability, and orchestration mechanisms. The AI Gateway acts as the central command layer, ensuring that agent interactions remain secure, reliable, and compliant.
Enterprise Trust and Global Reach
TrueFoundry states that leading Fortune 1000 companies rely on its platform to accelerate AI innovation. With operations spanning North America, Europe, and Asia-Pacific, the company supports global enterprise deployments across industries.
Headquartered in San Francisco, TrueFoundry aims to become the central control plane for enterprise AI. Its long-term vision is to serve as the command center through which organizations manage, govern, and scale all AI workloads.
The recognition as a Representative Vendor in Gartner’s Market Guide further validates the company’s strategic positioning in a rapidly evolving market. While Gartner’s publications reflect the opinions of its research analysts and do not constitute endorsements, inclusion in such reports often signals market relevance and emerging leadership.
Market Context and Future Outlook
The AI infrastructure market is undergoing a significant transformation. Early AI adoption focused primarily on model development and experimentation. However, as organizations integrate AI into mission-critical systems, operational concerns — such as governance, reliability, security, and cost efficiency — have moved to the forefront.
AI gateways represent a structural response to these challenges. By acting as an intermediary layer, they allow enterprises to abstract away vendor-specific complexities and maintain centralized oversight. This approach aligns with broader trends in cloud computing, where API gateways and service meshes have become foundational components of modern architecture.
Looking ahead to 2028 and beyond, Gartner’s projection that 70% of software engineering teams building multimodal applications will rely on AI gateways suggests that such platforms may soon become a standard component of enterprise AI stacks.
For organizations seeking to operationalize generative AI responsibly and at scale, infrastructure choices made today will have long-term implications. Platforms like TrueFoundry’s AI Gateway aim to address not only current scaling challenges but also the anticipated complexity of agent-based, multimodal, and highly integrated AI ecosystems.
About TrueFoundry
TrueFoundry is an enterprise Platform as a Service (PaaS) that enables organizations to build, deploy, observe, and govern AI applications securely and reliably. Through its AI Gateway and Agentic Deployment platform, the company supports large-scale AI operations for global enterprises.
With over 10 billion requests processed monthly and more than 1,000 clusters under management, TrueFoundry continues to expand its footprint in the enterprise AI infrastructure space. Its stated vision is to become the central control plane for running Agentic AI at scale within enterprises, serving as the command center for enterprise AI operations worldwide.
As enterprises increasingly shift from AI experimentation to production-grade implementation, platforms that combine governance, scalability, and reliability are likely to play a defining role in shaping the next phase of enterprise AI adoption. TrueFoundry’s inclusion in the 2025 Gartner Market Guide for AI Gateways positions it at the center of this transformation.
