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Metropolis

Amount: $1.1B 🎉

Round: Series C

Lead Investors: 3L Capital, Eldridge

Metropolis equips existing parking structures with a computer vision system that enables customers to “drive in and drive out” without having to swipe a credit card or pay with cash.

Customers provide their name, license plate, phone number, and payment method to use a Metropolis parking facility.

Metropolis tracks cars and automatically charges the owners, emailing the receipt after they drive out.

Machina Labs

Amount: $32M 🎉

Round: Series B

Lead Investors: Innovation Endeavors, NVentures

Machina Labs’ mission is to reinvent manufacturing plants by applying AI and robotics. They aim to democratize access to rapid manufacturing so that anyone with a great idea can manufacture parts quickly, efficiently, and cost-effectively.

They use robots to creatively manufacture different designs and materials, introducing unprecedented flexibility and agility to the manufacturing industry.

Gradient

Amount: $10M 🎉

Round: Seed

Lead Investor: Wing Venture Capital

Gradient’s mission is to make it easier for teams to deploy “specialized” and fine-tuned large language models (LLMs) at scale.

It’s platform allows developers to build and customize AI apps in the cloud using LLMs. It hosts a number of open-source LLMs which users can fine-tune to their needs. Gradient can host and serve models through an API, or it can deploy AI systems in an organization’s public cloud environment.

Vera

Amount: $2.7M 🎉

Round: Pre-Seed

Lead Investor: Differential Ventures

Vera’s mission is to make AI “a little bit safer” and to help companies establish “acceptable use policies” for generative AI.

Vera is building a toolkit that allows companies to enforce acceptable use policies across open-source and custom generative AI models.

It’s platform attempts to identify risks in model inputs and block, redact or otherwise transform requests that might contain things like personally identifiable information, security credentials, intellectual property, and prompt injection attacks.

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