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Do more with your AI budget
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 show you real cost savings.
Every request routed right, every dollar accounted for by engineering and finance teams
Smart routing
We send every request to the model that fits it best, by cost, speed, or the quality the task genuinely needs, with routing decisions tied to business outcomes so teams can track ROI from each request path. Static routing captures most of the savings; learned routing layers on where volume justifies it.
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, or a policy that has to hold across multiple cloud providers, depends on one API. Provider choice also often spans on-demand, reserved, and spot models, which affects both resilience and spend.
Cost attribution and cloud cost optimization
See exactly which team, feature, or user is driving your AI bill, down to the request. Every call gets tagged, giving teams the exact cost by mapping cloud costs to specific business dimensions and turning a shrinking margin you can't explain into a live dashboard for more informed decisions.
Built-in guardrails
Sensitive data gets redacted before it leaves, risky requests get blocked, disallowed models get refused, every call leaves an audit trail, and spending controls support tighter cost control. One governed choke point instead of a policy per application, per provider, or per cloud, with governance that detects anomalies and prevents runaway experimentation costs across providers or applications.
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.
How we route 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 during real provider outages, using tools that support granular tracking to measure internal AI usage across changing patterns while validating anomaly detection and spending controls.
What our clients are saying
Replay your own traffic before you change anything
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, testing more than baseline billing alerts by comparing specialized routing and cost controls across providers for effective cloud cost management, including multi-cloud setups and multiple AI providers when relevant.
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 to help prevent unexpected billing surges, plus continuous monitoring and optimization of AI spend in production.
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, on someone else's provider set, and has to be re-earned on yours. Building the eval set that proves it is most of the work.
We'll tell you to buy instead of build
If an off-the-shelf gateway is the right base for your margin or your multi-cloud policy, we'll say so—often sourcing it through AWS Marketplace, which simplifies vendor management by centralizing billing and software purchases—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.
Explore FullStack's AI gateway services
- Per-team, per-feature, per-tenant cost attribution with bills broken down by team or product
- Traffic analysis and cost baselining
- Automated reporting for clearer financial tracking and accountability
- 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
- Managed operations and continuous routing tuning
Partner with FullStack and stop guessing which model to use
Margin protection for AI-embedded products
One control plane across every model and cloud
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