TrueFoundry
Enterprise-ready AI Gateway and agentic deployment platform for governing, deploying, scaling, and tracing AI workloads across VPC, on-prem, hybrid, or public cloud environments.
At a Glance
Pricing
For explorers and early builders experimenting with AI workflows. Ideal for prototyping and testing ideas.
Engagement
Available On
Listed Mar 2026
About TrueFoundry
TrueFoundry is an enterprise-grade AI Gateway and agentic deployment platform that enables organizations to govern, deploy, scale, and trace AI workloads with full security and compliance. It provides a unified control layer for managing LLMs, MCP servers, AI agents, and model fine-tuning across any infrastructure — on-prem, VPC, air-gapped, or multi-cloud. Named in the Gartner® 2025 Market Guide for AI Gateways, TrueFoundry is trusted by teams at NVIDIA, ResMed, Whatfix, Innovaccer, and others to accelerate AI production timelines while reducing infrastructure costs.
- AI Gateway — Centralize LLM access with universal API, virtual models, RBAC, semantic caching, weight/latency/priority-based routing, fallbacks, rate limiting, and budget controls across all model providers.
- MCP Gateway — Register, discover, and govern MCP servers with schema validation, access control, metrics, and support for advanced authentication and self-hosted MCPs.
- Prompt Lifecycle Management — Version, manage, and monitor prompts with guardrails and partner integrations to ensure repeatable, high-quality agent behavior.
- AI Deploy Platform — Host any LLM or custom model using vLLM, TGI, or Triton backends; deploy agents built with LangGraph, CrewAI, AutoGen, or custom frameworks in fully containerized, production-ready environments.
- Training & Fine-Tuning — Launch fine-tuning jobs on your own data, track experiments, and push updated checkpoints directly to production in one unified flow.
- Full Agent Observability — Trace every step from prompt to tool/model execution with metrics, latency, and outcomes; integrates with Grafana, Datadog, Prometheus via OpenTelemetry.
- GPU Orchestration & Autoscaling — Automatically schedule and scale GPU workloads, support NVIDIA MIG and time slicing for fractional GPU sharing, and continuously rightsize infrastructure to reduce cloud waste.
- Enterprise Security & Compliance — SOC 2, HIPAA, and GDPR compliant with SSO, granular RBAC, immutable audit logging, real-time policy enforcement, and org-level multi-tenant management.
- Flexible Deployment Modes — Deploy as SaaS, VPC/on-prem, air-gapped, or hybrid; data never leaves your domain, ensuring complete sovereignty.
- Integrations — Framework-agnostic support for LangGraph, CrewAI, AutoGen, vLLM, TGI, Triton, Grafana, Datadog, Prometheus, and more.
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Pricing
Free Plan Available
For explorers and early builders experimenting with AI workflows. Ideal for prototyping and testing ideas.
- 50K requests per month
- 3 users
- Universal API
- RBAC on models
- Virtual models
Pro
For small teams ready to ship real AI features with usage-based predictability. Unlocks higher limits, better performance, and essential governance tools.
- 1M requests per month
- 10 users
- Universal API
- RBAC on models
- Virtual models
- Self-hosted models
- Playground
- Multiple gateway endpoints
- Simple caching
- Logs
- Traces
- Custom Metadata
- MCP Servers (up to 25)
- 1M tool calls per month
- RBAC on MCPs
- Virtual MCP Servers
- Unlimited saved prompts
- Versioning & Variables
- SOC2
- SaaS deployment
- Production Support
- Standard SLA
Pro Plus
Designed for teams that need stricter data controls, advanced account management, and priority SLAs without self-hosting.
- 1M requests per month
- 25 users
- Universal API
- RBAC on models
- Virtual models
- Self-hosted models
- Playground
- Multiple gateway endpoints
- Simple caching
- Semantic Caching
- Control Center
- Weight-based Routing
- Latency-based Routing
- Priority-based Routing
- Fallbacks with advanced features
- Budget limiting
- Rate limiting
- Logs with custom retention
- Traces
- Export to custom storage buckets
- Feedback on traces
- Custom pricing/model
- Cost per team/user/model/application
- Metadata filtering
- Alerts
- Export to other monitoring platforms
- MCP Servers (up to 50)
- 5M tool calls per month
- Virtual MCP Servers
- Support for advanced authentication
- Self-hosted MCPs
- Unlimited saved prompts
- Partner Guardrails integration
- SSO
- GDPR, HIPAA Compliance Certificates
- Org management
- Audit logs
- SaaS deployment
- Production Support
- Standard SLA
Enterprise
For medium and large organizations running AI at scale with strict compliance. Built for advanced governance, security, custom deployment, and mission-critical reliability.
- Custom requests per month
- Custom users
- All Pro Plus features
- Custom MCP Servers
- Custom tool calls per month
- Custom Guardrail Hooks
- VPC / On-prem deployment
- Air-gapped deployment
- Deployment customization
- Data Lake Export
- Connect multiple storage buckets
- Multiple gateway planes
- Gitops (Infrastructure as code)
- Dedicated Onboarding
- Priority Support
- Enterprise-Grade SLA
Capabilities
Key Features
- AI Gateway with universal API
- MCP Gateway and agents registry
- Prompt lifecycle management
- Model hosting with vLLM, TGI, Triton
- Training and fine-tuning
- Agent deployment (LangGraph, CrewAI, AutoGen)
- Full agent observability and tracing
- GPU orchestration and autoscaling
- Fractional GPU support (MIG and time slicing)
- RBAC and SSO
- Immutable audit logging
- SOC 2, HIPAA, GDPR compliance
- Semantic and simple caching
- Weight/latency/priority-based routing
- Fallbacks and rate limiting
- Budget limiting
- VPC, on-prem, air-gapped deployment
- OpenTelemetry integration
- Multi-tenant org management
- Real-time policy enforcement