General Catalyst

Oratomic is a Pasadena, CA-based developer of fault-tolerant quantum computing architectures and quantum-error correction systems. The company focuses on building commercially scalable quantum computers that circumvent noisy intermediate-scale quantum bottlenecks through advanced error correction techniques. Oratomic supports large-scale applications in machine learning and molecular chemistry simulations with optimized hardware designs. Led by CEO Dolev Bluvstein, the company is aggressively expanding its engineering teams to enhance its quantum technology capabilities.

Pacific Fusion Corp. is a power company focused on developing a nuclear fusion-based energy source. The company has recently attracted significant funding, placing it among the leaders in a rapidly expanding industry. Their goal is to create a new form of energy that could revolutionize power generation, although no fusion power plants currently exist. They are part of a growing group globally working to commercialize fusion technology.

Together AI, the leading AI Acceleration Cloud, empowers developers and enterprises to train, fine-tune and run inference for generative AI models — delivering unparalleled performance, control, and cost-efficiency. The Together AI Platform supports a comprehensive range of top open source and custom models across multiple modalities, while offering flexible deployment options with the highest levels of privacy and security. Committed to advancing the frontier of AI through open collaboration, innovation and transparency, Together AI ensures that powerful AI systems remain accessible and flexible while creating optimal outcomes for society.

AI research company

Makers of Devin, the first AI software engineer. We are an applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.

Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs. Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.