Carrot Labs
YC W26 · Active · AI Cost Management: Track and attribute AI spend across every provider
Competitors
| Company | Category | Status | Program |
|---|---|---|---|
| Data, Devtools | Acquired | YCS21 | |
| AI, Data, Devtools | Acquired | YCW23 | |
| AI, Devtools | Active | YCF26 |
Adjacent
| Company | Category | Status | Program |
|---|---|---|---|
| AI, Devtools | Acquired | YCW23 | |
| AI, Devtools | Active | YCS21 | |
| AI | Not stated | speedrunSR005 | |
| Other | Active | YCW22 | |
| AI, Devtools | Active | YCW23 |
Also from W26 in AI
All of W26| Company | Category | Status |
|---|---|---|
| AI, Devtools | Active | |
| AI, Devtools | Active | |
| AI | Active | |
| AI, Devtools | Active | |
| AI, Devtools | Active | |
| AI | Active |
Founders
- Christopher AckerFounder/CEO
- Yuta BabaFounder
About Carrot Labs
The problem: AI has quietly become one of the largest and fastest-growing line items for companies. Spend is scattered across a dozen provider consoles that each show one number at the end of the month and nothing about why it moved. There's no unified view, and no way to trace a dollar back to the customer, feature, team, or even the pull request that caused it. Which customers are unprofitable once you subtract their AI costs? Which feature is quietly burning your Anthropic budget? Is this week's spike a runaway loop or real growth? How much did that AI-written PR actually cost to ship? Today teams reverse-engineer answers by exporting CSVs from each provider and stitching them together in a spreadsheet, and by the time they do, the money is already spent. What SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, AWS Bedrock, Azure, Modal, Cursor, OpenRouter, 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 with our Python or TypeScript SDK to tag every AI call by customer, feature, team, or environment (or any other metadata). * AI coding cost per PR: connect Cursor to see engineering spend attributed to each pull request, repo, and developer, so you know what it actually costs to ship. * Alerts on budget thresholds and spend anomalies, delivered to Slack, email, or Discord. Most teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.
- YC batch
- W26 · Winter 2026
- Status, per YC
- Active
- Category
- AI
- Team size
- 2
- Location
- San Francisco, CA, USA
- Founded
- 2026
- Checked
- 35m ago
YC tags: AIOps, Artificial Intelligence, FinOps, B2B, AI
Carrot Labs: questions
Which YC batch was Carrot Labs in?
Carrot Labs was in Y Combinator's Winter 2026 batch (W26).
Is Carrot Labs still active?
Y Combinator lists Carrot Labs as active.
Who founded Carrot Labs?
Carrot Labs's founders, as listed on its YC page: Christopher Acker (Founder/CEO), Yuta Baba (Founder).
Where is Carrot Labs based?
Carrot Labs lists San Francisco, CA, USA as its location on YC's directory.
Sources: each program's public company list, read twice a week. Not affiliated with Y Combinator or any other program. Logos via logo.dev; trademarks belong to their owners.