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AI Control Tower
Meter. Track. Optimize.
Gain Visibility and Control over AI Spend
Real-time metering, optimization, and chargebacks for LLMs, GPUs, and AI Workloads
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¼ Trillion+
Token usage tracked per month
Trusted by the fastest-growing businesses and enterprises
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WHY NOW
AI Control and FinOps is Different
AI Use Cases leverage new and different building blocks such as tokens, LLMs, training, inference, that are highly elastic, expensive, and shared.
1
New Infrastructure
AI-optimized and connected hybrid IT environments. Not just cloud
2
New Operating Model
Agentic AI and autonomous building blocks, workflows, utilization and optimization across hybrid infrastructure
3
New Business Model
Token utilization and prompt per unit cost are the new unit of value
and measure
and measure
OUR SOLUTION
Control Tower for AI-First Enterprises
Our Platform Delivers Observability and FinOps Control Layer for AI
AI Gateway
Centralize access to LLM and AI resources with built-in AI Gateway and Proxy
AI Usage Metering
Real-Time Token & utilization tracking with app & user level insights
AI Unit Costs
Real-time per unit costs allocation, and optimization
Dept. Chargebacks
Tie AI spend to dept., LOBs, Apps, and users for greater alignment and accountability
Optimization & Savings
Insights into savings via resource optimization and waste elimination
Multi-Cloud & On-Prem
Single, integrated view for resources across cloud and data center
Real Impact
Trusted by
AI-Powered businesses
"We surveyed the landscape for a vendor to support our high scale. We selected Amberflo as it was able to meet our high volume and high reliability needs of processing billions of meter events per day."
Jonathan Nolan
SVP Engineering & Product
"Infrastructure Metering, Cost Management, and usage-based Billing for an AI Factory environment is hard. Amberflo has the right background and experience to solve this effectively."
Zachary Smith
Managing Director
Latest Blogs
FinOps insights for AI-First Enterprises
Your source for insights on unifying FinOps across cloud and on-prem IT and AI infrastructure environments.
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