Now booking workload reviews

Do you actually know who is spending what across your LLM providers?

Most platform teams running OpenAI, Anthropic, and Bedrock in production have no per-team cost visibility, no audit trail of model calls, and no failover when a provider goes down. LiteLLM is the gateway that fixes all of it, self hosted in your own VPC.

Now available on Akamai Cloud
Your apps and agents connect through the LiteLLM gateway, one self-hosted control plane, to 100+ providers, with cost attribution, audit logging, governance, and failover.
The Problem

Your AI spend is growing faster than your control over it.

Once a few teams ship features on multiple frontier providers, the stack fragments fast. Finance can't see it, security can't govern it, and one provider hiccup takes production with it. The pains we hear from infrastructure leaders in regulated industries:

Who spent it?
No per-team cost attribution

Provider invoices arrive as one number. There is no clean way to see which team, app, or model is driving the spend, so the bill grows unchecked.

No record
No audit trail of model calls

In financial services, healthcare, and legal, a call-level log of what was sent to which model is increasingly expected. Most stacks cannot produce one.

Key sprawl
No central governance

Dozens of provider keys spread across dev teams, with no central control over who can use which model under which conditions.

One outage
No failover

When a single provider degrades, AI features go down with it. There is no automatic rerouting to keep production running.

Per-teamCost attribution and budgets
Every callLogged for a full audit trail
CentralKey vault and access control
AutoMulti-provider routing and failover
The Gateway

One control plane for every model, agent, and tool.

LiteLLM is the LLM gateway from BerriAI. Your apps connect once, and it routes, governs, and logs every request across 100+ providers — self hosted in your own VPC, so sensitive data never leaves your environment.

LiteLLM AI Gateway Overview: apps, agents, and IDEs connect through one self-hosted control plane to 100+ model providers, tools, and agent runtimes, with enterprise-ready self-hosting, SSO/SCIM/RBAC, and cost and guardrails.

Cost and governance

Per-team and per-app cost attribution, spend budgets, and central control over who can call which model under which conditions.

Audit and compliance posture

A full log of every model call, in your environment, to support the audit and data-handling expectations regulated industries face.

Routing and reliability

One config to route across providers, with automatic failover so a single provider outage does not take your AI features down.

See the gateway in action.

A short walkthrough of the LiteLLM gateway: routing, keys, budgets, and guardrails across providers.

How it lands: see it, then run it.

No migration project, no procurement gauntlet to get started. We start small and concrete, on a workload you already run.

STEP 1

Workload review

A short working session on one of your real workloads and your current provider setup. Zero commitment.

STEP 2

Proof of concept

LiteLLM stood up against your stack, in your VPC, so you see the cost, governance, and audit picture on real traffic.

STEP 3

Roll it out

Once the value is clear on one workload, extend the gateway across teams with a commercial license and our support.

How an enterprise rollout is scoped

A proof of concept on one workload is the start. From there the rollout and licensing scale with a few clear variables, which we scope together rather than guess at.

DEPLOYMENT

One or many

A single logical production deployment, or multiple isolated deployments across regions, databases, and control planes.

DEVELOPERS

Who you govern

How many engineers you are granting and governing AI access for.

SCOPE

Unit or enterprise

One business unit to start, or a broader enterprise-wide AI gateway.

APPLICATIONS

What routes through

How many production applications route through LiteLLM in the first 12 months.

VOLUME

Request scale

Estimated monthly or annual gateway requests across the deployment.

Why MobileRider

MobileRider Networks is a channel partner for LiteLLM and an Akamai North America partner. We help platform teams evaluate, land, and support the gateway.

We land and support it

We bring the LiteLLM relationship, the proof of concept, and the hands-on support to get the gateway into production in your environment.

Built for regulated industries

Financial services, insurance, healthcare, and legal teams that need cost control and governance without sending data where it should not go.

Akamai when you scale

When self-hosted inference makes sense, the same gateway routes to Akamai's distributed cloud, one config line away.

Request a workload review

Tell us a little about your stack. We respond within 24 hours with whether LiteLLM fits what your team is dealing with, and what a proof of concept on one workload would look like.

What to expect

  • A reply from a person within 24 hours, not a ticket queue
  • A straight read on whether the gateway fits your setup
  • A concrete proof of concept on one real workload, no commitment to start

Phone: (800) 481-1462
Email: info@mobilerider.com

Tell us about your stack

We respond within 24 hours. Your information is never shared or sold.

Get control of your multi-LLM stack.

One gateway for cost, governance, audit, and failover, proven on one of your workloads first.

Request a workload review
LiteLLM is a product of BerriAI. MobileRider Networks is a LiteLLM channel partner and an Akamai partner. Outcomes are workload dependent and validated during the proof of concept.