Your model routing is based on intuition. Gauge makes it proof. Know which customers are margin-negative today. Validate every routing decision with real traffic. Catch the feature that doubles your AI bill before it ships.
No spam. Early design-partner cohort only.
Most AI-native teams have already tiered their models. GPT-4o for reasoning, Haiku for summarization — that part's done. What's not done: proving those decisions hold, knowing which customers are burning margin, and catching the feature that silently doubles your AI bill before it ships.
Maps each customer's billing platform to their live gateway key. Computes running AI margin per account in real time. When margin breaches a threshold, automatically downgrades that account to a cheaper SLM — no human required.
Margin floors enforced automatically. No runaway account silently burns your compute budget.
Before Gauge instructs your gateway to use a different model, it shadow tests it. 5% of real requests are mirrored to the candidate model in parallel — your users see nothing. An LLM-as-judge scores both outputs for semantic similarity. Only when the score clears your quality floor (default: 0.82) does Gauge send the override instruction. Per customer. Per task type. Continuously re-evaluated.
Your users never notice. Quality is proven, not assumed, before a single live request moves.
Converts hourly GPU lease rates (idle vs. active) into token-per-dollar metrics and overlays them against your live API spend. Outputs a single crossover date — the exact day self-hosting becomes cheaper than your current inference providers.
Turns a six-figure infrastructure gut call into a deterministic decision with a date attached.
Installs as a GitHub App. When a PR modifies a prompt, model, or context window, Gauge simulates cost impact against the last 7 days of production traffic and posts the result as a required status check — before merge.
Engineers cannot ship a $1,400/month prompt change without an auditable cost record in the diff.
An engineer estimates tokens, multiplies by the pricing page, and ships. Three weeks later the OpenAI bill doubles. By then it's in production with real users and pulling it back is painful.
A B2B SaaS company already running model tiering — GPT-4o for reasoning, cheaper models for simpler tasks. Gauge connects, validates each decision with real traffic data, maps cost to individual customers, and enforces margin floors automatically.
// based on typical task distribution at $50k/mo AI spend · not an actual customer result
10 spots. Direct line to the roadmap. No payment required.