Frugal AI has built Frugal Code, a developer-first cost-optimization platform that analyzes source code alongside observability data and cloud bills to pinpoint and fix expensive application patterns. Its core features include Cost-to-Code, which maps cloud and AI costs to individual services and lines of code; Frugal Fixes, which generates pull requests with quantified savings; and Frugalbot, a conversational assistant that surfaces cost insights inside tools like GitHub. The product is currently in Tech Preview with general commercial availability targeted for Q1 2026, and early access already open to customers using AWS, GCP, Datadog, New Relic, Anthropic, and OpenAI (with Azure support forthcoming). Founded by repeat entrepreneurs Mike Weider, Craig Conboy, and Rob Calendino and headquartered in Ottawa, the company positions itself as the pioneer of Application Cost Engineering, aiming to address the rapidly growing cloud-spend problem that now consumes over 10 % of many tech companies’ top-line revenue. Frugal’s approach focuses on correcting inefficient code rather than merely rightsizing infrastructure, thereby reducing consumption of high-cost services such as AI models, caching layers, and databases. The company has secured a US $5 million seed round to support continued product development and market entry. No operating metrics such as revenue or user counts have been disclosed.

Total raised

$5M

Funding rounds

1

Latest round

Seed

Latest activity

Nov 2025