
AWS observability
About $6,900 less per month
23% lower scoped costs
Produce recurring counts from incoming events instead of repeatedly scanning the same logs.
Read the case studyFor CTOs and engineering teams with monthly cloud or LLM spend of $30,000 or more.
We reduce cloud and LLM costs by changing the code and workflows behind the bill. We agree the baseline and quality checks with your team, implement the changes, and measure the savings.
For accepted projects, our fee is 30% of verified net savings over 12 agreed months, after approved additional costs.
Request a free billing reviewTell us what drives your spend. We’ll review the scope with your team.
Three projects. The engineering behind the savings.

About $6,900 less per month
23% lower scoped costs
Produce recurring counts from incoming events instead of repeatedly scanning the same logs.
Read the case study
About $5,800 less per month
29% lower scoped costs
Process changed records and update affected partitions instead of rebuilding historical data.
Read the case studyAbout $8,900 less per month
30% lower workflow costs
Reuse completed steps, route tasks between models, and remove repeated context.
Read the case studyReported cost reductions, normalized to comparable workloads. Figures include recurring operating costs and exclude the service fee and one-time transition costs. Measurement details are available in each case.
Tell us which cloud services or LLM workflows drive your spend. We review the scope with your team and decide whether the project is a fit.
Define a comparable workload, approved additional costs, and the quality checks that changes must pass before implementation.
Change the code and workflows behind the bill, validate the result, and measure net savings against the agreed baseline.
VorkLab is led by Valentin Shapovalov, with 15+ years in IT and production experience in marketplaces, medtech, and e-commerce.
Share your work email and the cloud services or LLM workflows you want to review. We’ll reply by email to discuss the scope.