The AI cost engineer that transforms inefficient code into significant cloud savings.
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Traditional tools typically focus on optimizing infrastructure by right-sizing servers. Frugal, however, optimizes application code and managed service usage, which are increasingly significant drivers of cloud costs. It shrinks workloads by making the code itself more efficient and provides AI-native solutions that code fixes, not just identify problems.
Frugal can optimize a broad range of managed services across AWS, GCP, Azure, and major third-party platforms. This includes Storage (S3, Azure Blob), Logs & Metrics (CloudWatch, Datadog), AI (OpenAI, Anthropic), Messaging (MSK, Google Pub/Sub), Serverless (Lambda, Azure Functions), and Databases (Aurora, DynamoDB, Snowflake).
Frugal identifies and implements consumption-based cost savings such as rebalancing API costs to storage, rightsizing high-cost/low-value logs and metrics, reducing AI token consumption with prompt caching, and applying caching and batching. It also addresses best practices like tagging untracked costs and assigning clear code ownership.
Frugal is built with a security-first architecture, utilizing read-only access to source code, observability, and billing data. All data is encrypted in transit (TLS 1.2+) and at rest (AES-256). It adheres to least privilege access principles, does not share data with third parties, and offers a private deployment option for high-security environments. The platform is SOC2 Type 2 audited and certified.
Yes, Frugal can integrate with AI coding agents like Claude Code or Cursor to ensure that newly generated code is cost-efficient by default. It provides in-context, practical guidance to developers and coding agents within their existing workflows.
Frugal aims to deliver savings rapidly by providing ready-to-apply fixes that can be reviewed and merged quickly. This allows organizations to start realizing cost reductions within the current sprint, rather than waiting for future quarters.
Source: frugal.co