Artificial Intelligence

Top 10 AI Startups to Watch for 2023

Photo by Tom S on Unsplash

Whether you’re new to AI or aspiring to start your AI-focused startup, looking at successful startups for inspiration and guidance is always valuable.

Wellfound has compiled a list of the top 10 startups in AI, chosen for their potential to succeed and transform their respective industries. These companies represent the best and brightest in the field, and we’ve included insider insights from their founders to better understand what sets them apart.

Before we get into the list, we want to share who we are.

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1. Polycam

Polycam is an AI-powered technology that allows users to capture and share their world in 3D using the LiDAR video and motion data available on smartphones. With the Polycam app, users can transform ordinary photos into hyper-detailed, lifelike creations, making it an innovative tool for professionals in architecture, interior design, and fashion. The app is also suitable for everyday use and is backed by prominent venture capital firms like Sequoia Capital and Chad Hurley. Polycam is available for iOS, web, and Android and can be used in various professional 3D workflows, including floor plans, architectural renderings, and VFX and filmmaking.

2. Photon Commerce

Photon Commerce is a financial AI platform that empowers fintech companies to process B2B payments, invoices, statements, contracts, and other documents at super-human speeds and with high accuracy. Over 120 fintech, e-commerce, and logistics companies use this technology to better understand and engage with their customers, and Photon has processed over $23 billion in payments and invoices data with its customers and partners. Photon’s AI technology enables companies to capture, configure, and use complex data to understand their customers on a deeper level than ever before.

3. CloudAEye

CloudAEye is the “The Ultimate AI Solution for Microservices.” They have created sophisticated AI-based technology that allows end-to-end visibility into serverless applications. The San Francisco-based team recognized the importance of time to market and service reliability in today’s remote world, particularly given that 29.3% of enterprises experience downtime costing over $25K per hour, according to IDC. CloudAEye’s technology includes AI-powered models that use intelligent monitoring to analyze application data, identify anomalies, and provide detailed root-cause analysis of each incident, allowing customers to quickly understand and fix issues.

4. Ziplyne

Ziplyne is a Digital Adoption Platform (DAP) that helps businesses improve the usability of their software by providing in-app guides and training materials. It is an Enterprise SaaS solution that works with websites, web applications, and mobile applications and does not require coding. Ziplyne is used by small startups and large enterprises and is growing year after year. It has well-funded competitors, such as WalkMe, Whatfix, and Pendo, but is confident in its momentum and ability to become a leader in the DAP market.

5. Weights & Biases

Weights & Biases (W&B) is a machine learning platform that allows users to save and track all of the elements needed to debug, compare, and reproduce their models, such as architecture, hyperparameters, git commits, model weights, GPU usage, datasets, and predictions. Its lightweight integrations work with any Python script and can be set up in five minutes. W&B is used by top researchers, including teams at OpenAI, Lyft, GitHub, and MILA, and is considered a best practice in machine learning. It can be thought of as a GitHub for machine learning models.

6. OpenAI

OpenAI, the creator of the recent buzz on the internet — ChatGPT, is a research organization that aims to promote and develop friendly artificial intelligence (AI) in a way that benefits humanity. Founded in 2015 by a group of entrepreneurs, researchers, and philanthropists, including Elon Musk and Sam Altman, OpenAI conducts research in various areas, including machine learning, robotics, and economics. The organization has made significant contributions to the field of AI and is actively involved in developing and deploying AI applications in various domains, including natural language processing, gaming, and robotics.

7. LoopKitchen

Loop is a company that aims to fully automate restaurant management so that restaurant owners can focus on their passion for making high-quality food. It uses data, automation, and machine learning to reduce operator workload and increase restaurant profitability. Loop deploys state-of-the-art operational processes, performs data-driven optimization, and focuses on metrics and behaviors that help restaurants succeed at different levels. It combines data from digital ordering with smart workflows to help restaurant owners make and execute the right decisions at the push of a button.

8. Labelbox

Labelbox is a leading training data platform that specializes in data labeling for machine learning. Founded in 2018, the company’s mission is to enable organizations to build and operate artificial intelligence quickly and efficiently. With Labelbox, enterprises can create and manage data labels for machine learning applications, streamlining the process of building and maintaining in-house machine learning infrastructure. By using Labelbox, companies can significantly reduce the cost of data labeling and improve the efficiency of their machine-learning efforts.

9. dresslife

Dresslife is a fashion technology company that provides 1-to-1 personalization with exceptional accuracy by combining AI with human feedback. Its solution helps retailers assist customers in finding clothing that fits and that they love. The company aims to create a global market network for fashion that matches consumers with clothing across retailers and brands. Dresslife aims to reduce returns and CO2 emissions in fashion e-commerce and lower costs for retailers and consumers. It has received recognition for its technology, including the NVIDIA AI Retail Prize, and being named a TechCrunch Top Pick at Disrupt Berlin in 2018.

10. 6sense

6sense is a B2B predictive intelligence platform that provides marketing and sales teams with insights into potential customers and their buying behavior. Its private network, which includes billions of time-sensitive intent interactions, helps identify new prospects and determine which existing prospects are ready to make a purchase. 6sense predicts what products prospects will buy, how much they will buy, and when. The company is based in San Francisco and is backed by Bain Capital Ventures, Battery Ventures, Venrock, and Salesforce.

Those were the 10 startups! Which one did you like the most? Think it was missing any other startups? Comment down below.

These innovative companies are sure to make a big impact in AI, and we can’t wait to see what awesome AI startups will make the list for 2023.

Thanks for reading!

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