ZeroCredit AI is an AI economics and cost-optimization platform. It learns how your AI workloads behave, then continuously optimizes cost, quality, performance and future spend.
Most AI platforms tell you what you spent. ZeroCredit AI learns why you're spending it — and continuously finds better ways to run the same workloads.
BYOK · Multi-model · No infrastructure changes
ZeroCredit AI builds a continuously improving understanding of how your organization uses AI — by task, customer, model, prompt and workload.
Models aren't equally good for every workload. ZeroCredit AI learns which models work best for each customer's tasks, balancing quality, latency and cost.
Reduce unnecessary tokens before they ever become model costs.
Measure models on the workloads that actually matter to your business.
Understand exactly what AI costs each customer, workload and model — and whether those workloads are profitable.
Know where your AI bill is going before it arrives.
Measure, understand, learn, optimize, forecast and control — across the AI providers you already use.
Read the docsSeeing the spend is table stakes. Improving it — continuously, per workload — is the job.
See requests, latency, errors and spend.
Understand what is driving those costs.
Rules and static recommendations.
Machine learning learns workload behavior, model preferences and task patterns.
Tell teams what they could change.
Continuously identify and apply cost/quality optimizations.
ZeroCredit AI doesn't treat every request the same. Its learning layer builds a behavioral understanding of workloads and continuously improves model selection and optimization.
Every interaction provides another signal — what task was performed, which model was used, how much it cost, how long it took, and how users rated the result.
Over time, ZeroCredit AI becomes increasingly personalized to each customer's workload.
ZeroCredit AI connects technical AI usage with financial outcomes.
Allocate AI cost down to the customer level and see profitability, not just usage.
ZeroCredit AI turns AI usage into customer-level unit economics.
Forecast future AI spend using actual workload behavior, seasonality and historical usage.
ZeroCredit AI identifies unnecessary prompt content and compresses prompts while protecting instructions, code, URLs, numbers and important context.
When quality or intent changes beyond your configured threshold, the system reverts to the original prompt.
Instead of relying only on provider benchmarks, ZeroCredit AI evaluates candidate models against representative workloads.
Model rankings become workload-specific instead of generic.
You don't need to replace your existing AI infrastructure — ZeroCredit AI works with the providers and keys you already use.
Connect your existing provider keys / BYOK.
ZeroCredit AI analyzes workload behavior.
ML learns task, model and user patterns.
Optimize prompts, models, tokens and routing.
Predict future spend and budget risk.
Track cost, quality, margin and savings.
Reduce the cost of AI features without sacrificing quality.
Control AI spend across teams, workloads and providers.
Understand the unit economics behind every AI customer.
An AI gateway helps move requests between models. ZeroCredit AI is designed to understand the economics of those requests — and continuously improve them.
The controls and reporting your security review already wants to see.
Envelope encryption with per-tenant key isolation. Keys never leave your account.
Bring your own provider keys. You keep your billing relationships, rate limits, and audit trail.
Finance, engineering, security, and admin scopes — enforced at the API and dashboard layer.
Trail of every optimization decision, key access, and configuration change.
Applied changes are recorded and can be reverted, so nothing happens silently.
TLS everywhere between your applications, ZeroCredit AI, and your providers.
Connect your existing AI stack and start understanding where your AI spend goes — and how to reduce it.
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