“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”
Josh Zarrabi, Infrastructure Engineer
Recommendations don't cut costs. Execution does.
Cloud Intelligence™ detects, decides, and executes optimizations across AWS, Google Cloud, and Azure, with Forward Deployed Engineers embedded in your team. Book a 30-minute demo and see your savings potential live.
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Trusted by 3,500+ cloud-driven organizations
you can't just "tag" a customer
How It Works
Attribute’s eBPF and Deep Packet Inspection (DPI) tech allows us to scan and identify customers’ identifiers from the traffic and correlate cloud consumption in runtime.
- eBPF-based data extraction.
- Automatically identify costs from real-time usage.
- Runtime cost distribution across all customer accounts.
- No change in code or configuration
What they say
“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”
David Adkins, Director of Software and Platform Engineering
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
what you get
Cloud Intelligence™ sees what your tools miss
LLM gateways, shared GPU clusters, and AI agents don't have tags. They never will. Instead, we read runtime network traffic directly, identifying which model was called, by which workload, triggered by which customer or agent.
Token-in, token-out
Input, output, and cached tokens broken out per request.
Allocate AI cost per feature
See which product features drive LLM spend.
Per-agent cost
Measure what each AI agent costs to run.
AI anomalies. In real-time.
Catch unexpected token spikes before they hit margins.
AI usage per customer, human vs. non-human
Separate human spend from agent and know what each customer actually costs to serve.
Signals → actions
Pause keys or swap models when usage crosses policy.
AI-driven Kubernetes automation for peak efficiency.
Self-Optimizing Kubernetes Infrastructure
Cut Kubernetes costs by up to 50% and improve reliability with real-time, workload-aware automation for production environments.
PerfectScale uses AI-driven insights to analyze dynamic usage patterns, determine the right resource levels for your workloads, and eliminate misconfigurations, ensuring optimal performance and consistent availability across your infrastructure.
save 20% on Snowflake, Databricks or BigQuery. Automatically.
Optimization and query-level visibility for Snowflake, Databricks, and BigQuery.
Warehouse utilization optimization runs continuously. No manual intervention required. Teams using PerfectScale typically see double-digit compute savings within the first two weeks across Snowflake, Databricks, and BigQuery.
stop leaving money on the table
Automate AWS, GCP and Azure commitments
Risk-aware automation with built-in execution controls gives you full oversight while capturing more savings across AWS, Google Cloud, and Azure. No guesswork. No overcommitment. No regrets.