AI Spend Control
AWS Bedrock, Azure OpenAI, GCP Vertex AI, and OCI — AI spend is exploding across every cloud. Track token usage, model costs, and inference spend across all your AI services in one place.
The Challenge
Last month's AI bill surprised you. This month's will be worse. Teams are experimenting with different models, different providers, different use cases — and nobody knows what anything costs until the invoice arrives.
Token-based pricing makes forecasting nearly impossible. A developer testing prompts can burn through thousands of dollars in an afternoon. A runaway pipeline can spike costs 10x overnight.
Reduce monitors AI usage across all four major clouds in real-time. See exactly which teams, projects, and models are driving your AI costs before they become budget-breaking surprises.
Model Economics
Claude vs. GPT-4 vs. Gemini — which is actually cheaper for your use case? The answer depends on token counts, pricing tiers, and how you're using each model.
Reduce tracks spending by model, breaking down input tokens, output tokens, and total costs. Compare model economics across providers and identify opportunities to optimize.
Maybe Claude Haiku handles 80% of your requests at 1/10th the cost of Opus. Maybe GPT-4 Turbo is cheaper than your current Azure deployment. With Reduce, you'll know.
Capabilities
Everything you need to manage AI spend across all providers
Monitor token consumption across all AI services. Input tokens, output tokens, total usage — all in real-time.
See spending by model — Claude, GPT, Gemini, and more. Understand which models drive your costs.
Attribute AI costs to teams, projects, and applications. Know who's spending what on AI infrastructure.
Track AI usage over time. Spot anomalies, forecast costs, and identify optimization opportunities.
Coverage
Complete Bedrock monitoring including Claude, Titan, and third-party models.
Full Azure OpenAI Service tracking across all deployments and models.
Vertex AI cost tracking including Gemini and PaLM models.
OCI Generative AI service monitoring and cost tracking.
Use Cases
Building AI features across multiple teams? Reduce tracks which team or project is using which models, enabling accurate chargeback for AI infrastructure.
Not every request needs GPT-4. Reduce helps you identify where smaller, cheaper models could handle the workload without sacrificing quality.
Set up alerts before AI costs spiral. Get notified when usage spikes, when projects exceed budgets, or when new models are consuming unexpected resources.
Using Bedrock for Claude and Azure for GPT-4? Reduce normalizes AI costs across providers so you can compare and optimize your entire AI portfolio.
Start free. Get control back today.
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