AI Gateway Model Routing

Do more with your AI budget through smart routing.

Stop guessing which model fits each task. We build the control plane that sends every request to the model that fits it best — on cost, speed, quality, or security — and prove it on your traffic first.

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We’ll explore your technology goals and challenges
You’ll get expert insights on the best path forward
We’ll outline next steps to bring your solution to life
GUESSING COSTS YOU

Every request routed right, every dollar accounted for.

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Smart routing

We send every request to the model that fits it best, by cost, speed, or the quality the task genuinely needs. Static routing captures most of the savings; learned routing layers on where volume justifies it.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Automatic failover

If a provider degrades or goes down, requests move to another model automatically, before anyone notices. Multi-provider failover stops being optional the moment a production feature depends on one API.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Cost attribution

See exactly which team, feature, or user is driving your AI bill, down to the request. Every call gets tagged, which turns "we don't know" into a live dashboard.

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Built-in guardrails

Sensitive data gets redacted before it leaves, risky requests get blocked, disallowed models get refused, and every call leaves an audit trail. One governed choke point instead of a policy per application.

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Enterprise software platforms

Develop the systems that run your business.

  • ERP and CRM development
  • ATS and internal operations tools
  • Workflow automation systems
  • Enterprise system integrations
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Intelligent software architecture

Design software foundations built for long-term scale.

  • Scalable system architecture
  • Performance and reliability engineering
  • Cloud-native infrastructure design
  • AI-enabled engineering workflows
We'll analyze your real traffic and current model spend.
You'll see what one team or feature actually costs you.
We'll show you the savings available before you commit to a build.
Case Studies

Our client impact in action

AI document system cuts processing costs by 50%.

A logistics provider’s legacy document system cost the firm more than $1 million annually, couldn't scale, and suffered significant downtime. FullStack built a scalable AI solution that reduced processing times by 75% and cut costs in half, all while maintaining high accuracy and reliability.

AI call auditor automates 99% of reviews.

A regulatory compliance firm partnered with FullStack to build an AI system that reviews calls for potential SEC violations. The tool scores accuracy and confidence, reducing human review to just 1% of transcripts and saving an estimated 5,500 labor hours and $232,000 annually.

We Routed Our Own AI Stack

FullStack is building and running its own gateway across internal AI usage on Connect and Labs tooling, and will publish the real numbers: cost reduction, quality retention, latency, and failover uptime through actual provider outages.

Smart AI Routing

Replay your own traffic before you change anything.

Every gateway engagement opens with a fixed-fee assessment: traffic analysis, a cost baseline, a model inventory, a routing-opportunity map, and an eval set built on your real workloads.
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A tested business case in 2–3 weeks*

We replay a sample of your actual traffic through a routing layer and show the same outputs with the cost and quality delta measured.

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Production in 8–12 weeks*

From an approved business case to a live gateway running inside your systems, with failover, caching, attribution, and guardrails in place.

A group of business professionals collaborating in a lush urban park with towering skyscrapers in the background, symbolizing innovation and efficiency. The scene represents machine learning models optimizing business operations, as technology and sustainability converge to enhance productivity and decision-making in a modern corporate environment.

Published benchmarks don't transfer

Anyone can cite an 85% cost cut at 95% quality. That number was earned on someone else's traffic mix and has to be re-earned on yours. Building the eval set that proves it is most of the work.

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We'll tell you to buy instead of build

If an off-the-shelf gateway is the right base for you, we'll say so and build the custom routing and integration around it. We don't sell our own gateway product, so we have nothing to steer you onto.

*These are typical time estimates and actual times may differ based on project complexity and scope.
COMPREHENSIVE SOLUTIONS

Explore FullStack's AI gateway services.

Off-the-shelf gateways exist and we use them. The hard part is routing logic tuned to your workflows, cost profile, and compliance requirements, then proven on your own evaluation data — and kept tuned as models and prices change every month.
  • Traffic analysis and cost baselining
  • Routing-opportunity mapping and eval set design
  • Gateway architecture and build-versus-buy recommendation
  • Static and learned routing implementation
  • Multi-provider failover and retry logic
  • Semantic caching
  • Per-team, per-feature, per-tenant cost attribution
  • PII redaction and prompt-injection guardrails
  • Managed operations and continuous routing tuning

Partner with FullStack and stop guessing which model to use.

Enterprise Partnerships

One control plane across every model and cloud

For estates spanning multiple providers, teams, and environments, we build the single governed layer where policy, redaction, and audit are enforced — and swap providers without touching application code.
Mid-Market Solutions

Margin protection for AI-embedded products

For SaaS teams where inference cost is now cost-of-goods, routing is the most direct lever on gross margin for AI features.
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