Carrot Labs
ActiveAI Cost Management: Track and attribute AI spend across every provider
This company has previously operated under “Anyware”. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.
About
The problem: AI spend is scattered across multiple provider billing consoles that don't talk to each other. Teams can't answer simple questions like "which customer is driving our Anthropic bill?" or "is this feature profitable after AI costs?" without manually pulling data from each provider and stitching it together in a spreadsheet. What SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Deepgram, ElevenLabs, Modal, Cursor and more). Zero-code setup: connect an API key and costs sync automatically with model-level breakdowns, trends, and forecasts. Per-request attribution: add two lines of Python SDK to tag every AI call by customer, feature, or team. Slack alerts on budget thresholds and spend anomalies. Most teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.
Founders · 2
Carrot Labs Founder. Building the continuous learning platform for AI Agents https://carrotlabs.cal.com/chris/20-min-meeting
Co-Founder of Carrot Labs. Previously Senior Data Scientist at Snowflake, where I was in charge of ML account-based bookings forecasts that shaped financial planning as the company scaled from $250M pre-IPO to $3.6B in revenue.
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