
Together
Together will enable researchers, developers & companies to leverage and improve artificial intelligence with an intuitive data, models & computation platform covering inference, fine-tuning and GPU cluster orchestration.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 12.5x EV/Revenue | round | |
* | $305m Valuation: $3.3b 33.0x EV/Revenue | Series B | |
Total Funding | 000k |
USD | 2023 | 2024 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 9424 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
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Together AI is a research-driven artificial intelligence company focused on advancing the frontier of AI through open-source contributions. The company provides decentralized cloud services that empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. Together AI operates in the artificial intelligence and cloud computing markets, serving clients ranging from small startups to large enterprises and academic institutions. The business model revolves around offering cloud-based solutions that facilitate the development and deployment of AI models, generating revenue through service subscriptions and usage fees. Together AI's commitment to open and transparent AI systems aims to drive innovation and create optimal outcomes for society.
Keywords: AI, open-source, decentralized cloud, generative models, developers, researchers, training, fine-tuning, deployment, innovation.