Startups Directory
3 funded startups. Filter by industry or funding round. Updated weekly.
Showing 3 of 3
| Company | Round | Amount | Date | Industry | Location |
|---|---|---|---|---|---|
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Mistral AI
Mistral AI develops open-weight and proprietary large language models (LLMs) that enterprises can deploy as SaaS, on-premises, or across any cloud provider. The company offers a complete AI stack including Le Chat (web/mobile interface), Mistral Code (coding assistant), Workflows Studio (enterprise orchestration), and Mistral Forge (synthetic data generation). Founded by three former Meta and DeepMind researchers, Mistral differentiates through EU-based infrastructure, Apache 2.0 open models, and flexibility to avoid multi-cloud lock-in while maintaining GDPR compliance.
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Series A | $415M | 2023-12-11 | Artificial Intelligence (AI) | France |
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TensorWave
TensorWave is an AI and HPC cloud platform built on AMD Instinct GPUs that accelerates LLM training, inference, and research workloads without the supply constraints and premium pricing of NVIDIA. The platform leverages AMD's physical GPU partitioning for true hardware isolation and includes direct liquid cooling that reduces data center energy costs by up to 51%. With 192GB of VRAM per GPU, customers can fine-tune massive models like 405B parameter LLMs on single 8-GPU nodes. TensorWave targets enterprises seeking high-performance compute with dedicated infrastructure, managed inference services, and autoscaling capabilities.
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Series A | $100M | 2025-05-14 | Artificial Intelligence (AI) | United States |
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Sakana AI
Sakana AI develops foundation models using evolution-inspired techniques and collective intelligence to create domain-specific AI systems with minimal computational overhead. The company automates the entire AI development lifecycle through products like AI Scientist (automated research discovery) and Sakana Fugu (multi-agent model orchestration), serving enterprises in finance, defense, and research. Unlike traditional approaches requiring massive GPU clusters, Sakana's evolutionary model merge technique discovers optimal model combinations through natural selection, dramatically reducing energy consumption while achieving state-of-the-art performance.
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Series A | $100M | 2024-09-05 | Artificial Intelligence (AI) | Japan |