Enterprise Ready : VPC | On-Prem | Air-Gapped

An Enterprise AI platform — beyond just an LLM proxy

Open source is not enterprise-ready. TrueFoundry delivers a production AI platform with a managed gateway, governance, and model hosting—beyond basic LLM routing.

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Key Competitive Differentiators
TrueFoundry
LiteLLM
Open source vs enterprise-grade
Enterprise-ready AI platform designed for production scale, governance, and reliability
Open-source gateway with optional enterprise add-ons
Operational ownership
Managed control plane with enterprise SLA. No stateful services to operate
You have to own and operate the proxy, Redis, and Postgres
Production reliability
Built for multi-team, high-availability production workloads
Production-capable, but reliability depends on your infra and ops maturity
Model hosting
Host and scale 250+ open-source models alongside API-based LLMs
Routes API-based models only (OpenAI, Anthropic, Bedrock, etc.); does not host or run models
MCP & agent infrastructure
Enterprise MCP Gateway with auth, access control, tracing, and auditability
Basic routing; MCP and agent infra require DIY setu
Scope of the platform
End-to-end AI platform: gateway, model serving, observability, and governance
LLM routing and normalization only

Key Evaluation Questions

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Question
How TrueFoundry Fixes It
LiteLLM considerations
“Are we facing reliability or operational issues in production?
A managed AI gateway with enterprise SLA. No Redis, Postgres, or proxy infrastructure to operate or debug.
You own the proxy, Redis, and Postgres. Reliability depends on your infra and on-call readiness.
“Can we optimize our LLM usage costs?”
Run open-source models on spot GPUs or optimized instances, reducing costs by 40–50% at scale.
Still tied to per-API pricing. LiteLLM routes requests but does not host or optimize model infrastructure.
“Do we need enterprise governance and access control?”
Built-in SSO, RBAC, team-level budgets, and audit logs—ready for large organizations.
Governance features are gated behind the Enterprise license and require additional setup.
“Are we looking to expand MCP and agent workloads?”
Enterprise MCP Gateway with authentication, access control, tracing, audit logs, and tool discovery.
MCP support is limited and requires custom implementation to be production-ready.
“Will we outgrow an LLM-only gateway?”
A modular platform for serving, monitoring, and governing AI workloads beyond just LLM routing.
Focused on API routing only; scaling to broader AI workloads requires adding more tools.

Govern, Deploy, Scale & Trace Agentic AI in One Unified Platform

Govern, Deploy, Scale & Trace Agentic AI in One Unified Platform

Integrations

Framework-agnostic integrations for everything from low-code agent builders to GPU-level performance evaluation.

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Made for Real-World AI at Scale

99.99%

Uptime

Centralized failovers, routing, and guardrails ensure your AI apps stay online, even when model providers don’t.

10B+

Requests processed/month

Scalable, high-throughput inference for production AI.

30%

Average cost optimization

Smart routing, batching, and budget controls reduce token waste. 

Made for Real-World AI at Scale

99.9%

Uptime
Centralized failovers, routing, and guardrails ensure your AI apps stay online, even when model providers don’t.

10B+

Requests processed/month
Scalable, high-throughput inference for production AI.

30%

Average cost optimization
Smart routing, batching, and budget controls reduce token waste.

Real Outcomes at TrueFoundry

Why Enterprises Choose TrueFoundry

3x

faster time to value with autonomous LLM agents

~40-50%

Effective Cost reduction of across dev environments

Aaron Erickson

Founder, Applied AI Lab

TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.

5x

faster time to productionize internal AI/ML platform

50%

lower cloud spend after migrating workloads to TrueFoundry

Pratik Agrawal

Sr. Director, Data Science & AI Innovation

TrueFoundry helped us move from experimentation to production in record time. What would've taken over a year was done in months - with better dev adoption.

80%

reduction in time-to-production for models

35%

cloud cost savings compared to the previous SageMaker setup

Vibhas Gejji

Staff ML Engineer

We cut DevOps burden and simplified production rollouts across teams. TrueFoundry accelerated ML delivery with infra that scales from experiments to robust services.

50%

faster RAG/Agent stack deployment

60%

reduction in maintenance overhead for RAG/agent pipelines

Indroneel G.

Intelligent Process Leader

TrueFoundry helped us deploy a full RAG stack - including pipelines, vector DBs, APIs, and UI—twice as fast with full control over self-hosted infrastructure.

60%

faster AI deployments

~40-50%

Effective Cost reduction of across dev environments

Nilav Ghosh

Senior Director, AI

With TrueFoundry, we reduced deployment timelines by over half and lowered infrastructure overhead through a unified MLOps interface—accelerating value delivery.

<2

weeks to migrate all production models

75%

reduction in data‑science coordination time, accelerating model updates and feature rollouts

Rajat Bansal

CTO

We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

Frequently asked questions

Is LiteLLM production-ready for enterprise use?

 LiteLLM can be used in production, but enterprises are responsible for operating the proxy, Redis, and Postgres, as well as handling uptime, scaling, and governance. Many teams outgrow this model as reliability and compliance requirements increase.

Why do teams move from LiteLLM to TrueFoundry?

Between TrueFoundry vs Portkey, TrueFoundry gives you full-stack visibility. Portkey logs your API requests: inputs, outputs, that kind of thing. Useful for debugging prompts. TrueFoundry connects those logs with your infrastructure metrics like GPU memory, pod health, and container logs. So when something breaks, you can see whether it's a model issue or an infrastructure problem like an OOM error. Portkey can't do that because it doesn't touch your infrastructure.

Do I need LiteLLM Enterprise to scale across teams?

There is a critical distinction in model deployment in Portkey vs TrueFoundry. Portkey does not deploy or host models; it routes traffic to models already hosted elsewhere (like OpenAI or Anyscale). TrueFoundry acts as an orchestration engine. We allow you to take an open-source model (like Llama 3), containerize it, and deploy it directly onto your own cloud or on-premise infrastructure. We handle the autoscaling, GPU provisioning, and health checks, giving you ownership of both the model and the compute it runs on.

Can TrueFoundry replace LiteLLM without code changes?

If you are comparing TrueFoundry vs Portkey for strict data sovereignty requirements, TrueFoundry is usually the better fit. We run everything (compute, gateway, storage) inside your VPC or air-gapped environment. Native integration with your Kubernetes clusters, IAM, RBAC, and secrets management. Your model weights, training data, and everything stay inside your controlled infrastructure. Both platforms offer private deployments, but TrueFoundry gives you complete control from day one.

Does LiteLLM support hosting open-source models?

TrueFoundry’s value is in the savings and efficiency gains it delivers. In practice, our customers report substantial cost savings (e.g. 40%+ cloud cost reduction) that often outweigh the platform fees. Also, the time saved in engineering (deployment automation, troubleshooting) translates to saved $$$ in manpower. Portkey being free addresses only one slice of the problem – you might still incur higher cloud bills and dev costs. TrueFoundry optimizes the whole pipeline, typically leading to a lower total cost of ownership.

How does TrueFoundry help reduce LLM costs?

TrueFoundry’s value is in the savings and efficiency gains it delivers. In practice, our customers report substantial cost savings (e.g. 40%+ cloud cost reduction) that often outweigh the platform fees. Also, the time saved in engineering (deployment automation, troubleshooting) translates to saved $$$ in manpower. Portkey being free addresses only one slice of the problem – you might still incur higher cloud bills and dev costs. TrueFoundry optimizes the whole pipeline, typically leading to a lower total cost of ownership.

When is TrueFoundry the better choice?

TrueFoundry’s value is in the savings and efficiency gains it delivers. In practice, our customers report substantial cost savings (e.g. 40%+ cloud cost reduction) that often outweigh the platform fees. Also, the time saved in engineering (deployment automation, troubleshooting) translates to saved $$$ in manpower. Portkey being free addresses only one slice of the problem – you might still incur higher cloud bills and dev costs. TrueFoundry optimizes the whole pipeline, typically leading to a lower total cost of ownership.