Replicate
Open-source model deployment and fine-tuning, with one-line code for stability AI and other models, and destination for fine-tuning with custom code.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | $40.0m | Series B | |
| Total Funding | 000k | ||
| USD | 2023 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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A cloud-based platform that allows developers and businesses to run and fine-tune open-source machine learning models through an API. The company provides the infrastructure to run these models at scale, so users do not need to manage servers or dependencies. This service is aimed at developers, researchers, and companies that want to integrate AI functionalities into their applications without the complexity of managing the underlying hardware.
The business model is based on a pay-per-use system, where customers are charged for the computational time they use to run the models. This allows for a flexible and cost-effective way to access and experiment with a wide variety of AI models, from image and video generation to text-based applications. The platform also fosters a community of developers who contribute and share their own models, creating a constantly growing library of AI tools.
Keywords: machine learning, artificial intelligence, cloud computing, API, open source, developers, pay-per-use, AI models, image generation, text generation