TrueFoundry
by TrueFoundry
Enterprise AI gateway and agentic deployment platform — secure, scalable, governed
TrueFoundry is an enterprise-grade AI Gateway and LLMOps/agentic deployment platform that gives teams a single control plane to deploy, observe, and govern LLMs and AI agents across providers. It is built for enterprises in regulated sectors that need to run models and agents in production with SOC 2/HIPAA/GDPR compliance on their own infrastructure.
San Francisco-based TrueFoundry, led by co-founder and CEO Nikunj Bajaj, provides a Kubernetes-native platform for running AI models and agents in production. Its AI Gateway, MCP Gateway, and Agent Gateway act as a unified control plane: the MCP Gateway maintains a discoverable registry of tools and APIs with schema validation and access control, while the Agent Gateway deploys agents built with LangGraph, CrewAI, AutoGen, or custom frameworks as fully containerized, observable services. The platform adds prompt management, full agent tracing from prompt to tool execution, GPU orchestration with autoscaling and fractional-GPU (MIG/time-slicing) support, role-based access control, immutable audit logging, and OpenTelemetry integration with Grafana, Datadog, and Prometheus — all deployable on-prem, in a VPC, hybrid, or public cloud so that no data leaves the customer's domain. In June 2026 TrueFoundry acquired MLOps pioneer Seldon Technologies (whose customers included PayPal, Johnson & Johnson, Audi, and Experian) to deepen its enterprise ML and agentic-AI capabilities; the company was seeded by Sequoia India and Surge.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Contact for pricing
- Target Market
- CIOs, CTOs, Enterprise Developers, ML Engineers
- Headquarters
- San Francisco, United States
- Customers
- Enterprise customers across banking, healthcare, insurance, retail, government, and technology
Key Features
- ✓AI Gateway
A unified control plane for multi-step reasoning, tool usage, and memory with full visibility across agents and workflows.
- ✓MCP Gateway
A discoverable registry of tools and APIs for agents, with schema validation and access control.
- ✓Agent Gateway
Deploys agents built with LangGraph, CrewAI, AutoGen, or custom frameworks as containerized, observable, production-ready services.
- ✓GPU orchestration
Autoscaling GPU management with fractional-GPU support via MIG and time-slicing.
- ✓Governance and compliance
SOC 2, HIPAA, and GDPR support with role-based access control and immutable audit logging.
Capabilities
Use Cases
- •Multi-provider LLM gateway
Route, observe, and govern calls to many model providers from one enterprise control plane.
- •Production agent deployment
Containerize and monitor framework-agnostic AI agents with full prompt-to-tool tracing.
- •Private, compliant AI infrastructure
Run models and agents on-prem or in a VPC so no data leaves the enterprise domain.
Ideal For
Best For
- ✓Deploying and governing LLMs and AI agents in production across providers
- ✓Running an enterprise AI/MCP gateway on private infrastructure
- ✓GPU orchestration and observability for LLMOps in regulated industries
Integrations
Deployment
Market & Ratings
Enterprise customers across banking, healthcare, insurance, retail, government, and technology
Market Analysis
Pros
- ✓Single control plane for LLMs, MCP tools, and agents
- ✓Strong governance/compliance and private-infrastructure deployment
- ✓Expanded MLOps depth via the Seldon acquisition
Cons
- ✗Enterprise pricing not transparent
- ✗Broad feature surface can mean a steeper adoption curve
Pricing
Enterprise
Contact for pricing
- ✓AI / MCP / Agent Gateway
- ✓GPU orchestration
- ✓Governance, RBAC, and audit logging
Enterprise platform; pricing is not publicly listed and is arranged via sales.
Sources
This page was written from 3 sources, 1 on domains other than truefoundry.com.
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