ScaleDown
Small task-specific models for prompt compression and extraction
scaledown.aiNew York, United States
ScaleDown is a small New York startup that builds task-specific language models served over a REST API. Its products cover prompt compression, summarisation, extraction and classification, aimed at cutting token costs for LLM applications.
- Founded
- 2024
- Type
- Private company
- Founders
- Neal Patel and Soham Chatterjee
- AI lab
- Inference provider
- 3 hosted endpoints
| Model | Endpoint | Context | Input /M | Output /M | Cached input /M | Cache write /M | Uptime 1d |
|---|---|---|---|---|---|---|---|
| Classify-1 | scaledown | 1M | $0.04 | $0.00 | — | — | 99.13% |
| Extract | scaledown | 1M | $0.04 | $0.00 | — | — | 99.03% |
| Summarize | scaledown | 1M | $0.04 | $0.00 | — | — | 99.51% |