Stop overpaying for AI and data.
BlueAspen audits your LLM, ML platform, and data warehouse costs and typically finds 30%+ savings, without sacrificing quality.
Most teams overpay 30 to 60% on AI and data infrastructure.
The bills grow quietly. The waste hides in defaults, idle capacity, and queries no one has looked at in months. Here is where it usually lives.
Oversized models
Frontier models run tasks a small model handles just as well. You pay premium rates for routine work.
No caching or batching
Repeated prompts hit the API fresh every time. Batch jobs run one at a time. The waste adds up fast.
Idle and stranded GPUs
GPUs sit idle between jobs. One model per card leaves capacity stranded. You rent hardware you barely use.
Wasteful warehouses
Warehouses stay on with nothing to do. Queries scan far more data than they need. The bill climbs every month.
A two-week cost audit.
Short, focused, and built to pay for itself. Three steps from where you are today to a clear plan you can act on.
Baseline your spend
We map where every dollar goes across models, GPUs, and warehouses. You see the full picture, often for the first time.
Implement quick wins
We ship the safe, high-value changes during the engagement. Savings start before the audit is even finished.
Deliver a ranked roadmap
You get a prioritized plan with effort, risk, and dollar impact for each item. Your team can run it without us.
Where we find the money.
Pick one area or all of them. Each engagement is focused, hands-on, and tied to real dollar outcomes.
LLM API Spend Audit
Right-size models, add caching and batching, and cut token waste across OpenAI, Anthropic, and Bedrock.
ML Platform & GPU Audit
Reclaim idle GPUs, pack models efficiently, and stop paying for stranded capacity on your platform.
Snowflake Cost Audit
Tune warehouses, kill idle compute, and trim the queries that scan far more data than they should.
Databricks Cost Audit
Right-size clusters, fix runaway jobs, and optimize storage and compute across your workspaces.
Cost-Governance Retainer
Monitoring and guardrails so the savings stick and new waste gets caught before it grows.
Start with a call
Twenty minutes is enough for us to point at where your biggest savings likely are.
Book a callFlat fee or a share of what we save, your choice. If we find nothing meaningful, you don't pay.
Operators, not just advisors.
Years running production ML platforms on shared GPUs and multi-tenant data pipelines at enterprise scale.
We have done this work at the source, at companies like Proofpoint and Teradata, not just advised on it. Our team has owned the systems and the bills behind them. That means we know where the waste hides, and we know how to cut it without breaking what works.
Proofpoint
Production ML platforms on shared GPU infrastructure.
Teradata
Multi-tenant data pipelines at enterprise scale.
Hands on the systems
We have built, run, and paid for the exact stack we now audit.
Find your savings.
Book a 20-minute call or send a note. We will tell you straight if there is real money to save.
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