Artificial Intelligence: The Forbes List Of 50 Top AI Companies To Watch
The pandemic accelerated the use of AI across the country.
To create the third annual AI 50, Forbes partnered with Sequoia Capital and Meritech Capital. The list consists of private, North American companies that are using AI in ways fundamental to their operations. (Forbes)
The list in alphabetical order:
- Abnormal Security. Its cybersecurity software targets business email compromise (BEC) attacks, which cost businesses nearly $1.9 billion in 2020, according to the FBI.
- Amp Robotics. AMP’s robots can automatically separate plastic cans from cardboard, batteries from wires, and wood from concrete- a boon for recycling centers
- Arize AI. A real-time analytics platform designed to watch, troubleshoot, and provide guardrails on deployed AI.
- Atomwise. A drug discovery algorithm that uses a neural network to simulate how different small molecules may bind to a protein. The machine learning technique allows scientists to rapidly simulate the interactions of millions of molecules to determine which have potential in preclinical trials.
- Bearing. It uses AI to help shippers manage and track their fleets, reduce fuel consumption and optimize routes.
- Canvas. Using Canvas’ robots, construction workers can reduce drywall finishing times from seven to two days, while achieving an extra smooth finish.
- Clari. Clari uses AI to streamline CRM updates, alleviating the data entry load on the sales team, while managing sales and forecasting with predictive insights.
- Cresta. It uses AI to learn the most effective replies to customer questions from the best agents in a team. It then provides real-time prompts to less effective call center agents, on what could be “best,” or most effective, replies to customer questions.
- Crowd AI. It specializes in extracting meaningful information from the flood of visual data created by everything from cell phone cameras to satellites. It does this with a software platform designed to be easily accessible to all users.
- Databricks. It consolidates all of a customer’s data workloads, across both analytics and AI, on a single platform.
- Dataiku. It makes software for big companies like Pfizer, Sephora, and Unilever that want to develop AI by themselves, but lack the resources of Amazon or Google to do so.
- Datarobot. It helps customers build their own machine learning predictive models.
- Deepgram. Automatic speech recognition software that facilitates better transcriptions of recorded audio like that of an in-person meeting or a Zoom-based conference call.
- Deepmap. It uses deep learning to automatically detect and create 3D map features and landmarks, such as street signs, signals, and lane lines, from input sensor data.
- Domino Data Lab. Software that gives data scientists the tools they need to create, test and run their own AI models.
- Duolingo. AI-driven language-learning app.
- Ezra. Using AI and automation, Ezra studies MRI scans to help radiologists detect cancer lesions faster and better.
- Falkonry. Using AI to utilize data from industrial and manufacturing organizations and improve their operations.
- Farmwise Labs. Technology as a service, charging a per-acre fee to weed fields using AI-driven precision weeding machines.
- Fiddler Labs. Its platform enables companies to analyze and understand the AI in their system while meeting regulatory compliance and building trust in the end-user.
- Forethought. A question-answering retrieval AI agent called Agatha.
- Gatik. “Middle mile” routes hauling goods on fixed, repeatable circuits, or B2B short-haul logistics. Developing medium-duty autonomous delivery trucks with Isuzu.
- Genesis Therapeutics. Its AI software studies the chemistry of new molecules to predict which could be safe and efficacious drug options for human diseases.
- Gong. Uses natural language processing capabilities to close deals and shorten sales cycles by translating customer information into actionable insights.
- Gretel AI. Open-source, synthetic machine learning library that helps developers anonymize the user data they need to build new and better features.
- Hyperscience. Collaborative, AI-driven solutions that adapt to unique data-entry problems using software that deliberately divides work between people and machines based on the needs of the task.
- Icertis. Extracts data from contracts
- Instabase. A platform that allows businesses to build customizable apps to automate different parts of their businesses. For example, an app that allowed banks to process hundreds of thousands of PPP loan applications a day.
- Intelligencia. Uses AI to predict the likelihood that a clinical trial will succeed and also provides input on how to improve the trial or what other areas of research to target.
- Ironclad. It uses artificial intelligence to predict the likelihood that a clinical trial will succeed and also provides input on how to improve the trial or what other areas of research to target.
- Komodo Health. Its analytics-driven AI algorithms allow for use cases that include forecasting the market for a drug, identifying potential patients for a clinical trial, and tracking the effectiveness of treatments after they hit the market.
- Lilt. Interactive, self-learning neural machine translation system.
- Mindbridge. Its analytics software functions as an audit machine that searches financial documentation for missing links, incorrect data, and even fraud.
- MindsDB. An open-source automated machine learning platform made for data scientists and developers to quickly train and deploy models. Data can, therefore, be used straight from the database, datastores, or business intelligence tools to generate AI-driven forecasts for what matters most to the business.
- Moveworks. Natural language processing bots that can automatically resolve employees’ IT issues.
- Narrativ. The company’s platform matches content creators with the most relevant products and brands from customers, including Best Buy, Ulta Beauty, Samsung, L’Oreal, Yeti, and Sephora.
- Nines. Its AI-based tools help physicians and radiologists diagnose diseases faster.
- Observe.AI. It provides call center customers with supervised machine learning to better understand customer moods if contact center guidelines are being followed and help coach human agents.
- Replicant. An AI bot with a human-like voice that can hold a conversation with people calling with customer service questions.
- Sama. Digital training platform.
- Samsara. Uses the cloud and AI tools to make industrial operations safer, more efficient, and more sustainable, for example for trucking fleet operators. It collects information from real-time HD video feeds, sensors, and data entry workflows and then uses machine learning to analyze the data to identify areas for improvement, for example, distracted driving.
- Scale AI. Helps companies build and manage their AI and machine learning models.
- Sentropy. Its machine learning models detect ever-changing abusive language and the context in which it’s delivered in online communities.
- Shield AI. Provides “self-driving” technology for defense via unmanned systems.
- Sleek. Uses AI to bring the priority lane experience, at any popular venue without needing additional infrastructure – it saves the inconvenience of waiting in lines while adding profits.
- UnifyID. Its technology employs behavioral biometrics to uniquely identify and authenticate people based on their motion and other factors.
- Verge Genomics. Combines AI with human genome data to discover new drugs for neurodegenerative diseases.
- Vise. The company’s AI and machine learning platform makes it easier and more efficient for independent financial advisors to offer customized portfolios and personalized advice.
- Viz.ai. Its software cross-references CT images of a patient’s brain with its database of scans and can alert specialists in minutes on early signs of a potential stroke.
- Whisper. Its wireless, pocket device uses AI to separate voices from noise, allowing people with hearing loss to participate in conversations.
Related Story: Scale AI Scores $325M Series E Round At A $7.3B Valuation
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