New Generative AI startups without ChatGPT

Mar 1, 2023 · chatgpt ·

The following article looks at 11 generative AI startups that are making waves in the industry without leveraging OpenAI's large language model, ChatGPT. These startups are looking to provide innovative solutions for a variety of industries, from healthcare to virtual reality.

One such startup is Primer, which uses natural language processing to guide conversations and help people better understand complex topics. Primer's technology can be used to process large amounts of data and improve customer service, marketing, and sales.

Another generative AI startup featured in the article is Nodal AI, which uses AI techniques to generate models for various domains, such as financial services, healthcare, and insurance. Nodal AI helps companies create better insights into their customer base by analyzing customer behavior, which can result in more efficient and personalized customer experiences.

The third startup highlighted is Recursion Pharmaceuticals, which is using generative AI to develop new drugs and treatments. Recursion's platform harnesses machine learning and deep learning algorithms to analyze vast amounts of data to identify potential drug targets. The company also incorporates lab automation systems to accelerate the development process.

The fourth startup mentioned is Iris AI, an AI-powered platform that provides users with personalized recommendations based on their interests, skills, and career aspirations. Iris AI's algorithm analyzes over 20,000 sources of data, including job postings and research papers, to help its users find the best opportunities for them.

The fifth startup is Aiqudo, a platform that allows users to control their devices and apps through voice commands. Aiqudo uses sophisticated algorithms to interpret user intents and create accurate voice commands that can be used across a range of devices and applications.

The sixth startup is RailSight Technologies, which uses AI to detect and identify objects in railway images. The company's algorithms can detect and track objects like trains, bridges, and other infrastructure in real-time, enabling faster train speeds and improved safety.

The seventh startup is Parallel Domain, a simulator that enables autonomous vehicle developers to test their vehicles in realistic scenarios before they hit the road. Parallel Domain's simulator uses advanced physics and machine learning algorithms to replicate real-world conditions, allowing developers to better prepare for dangerous driving conditions.

The eighth startup is HealthStream, which uses AI to monitor patient health in real-time. HealthStream's algorithms track vital signs, such as heart rate, respiratory rate, and blood pressure, as well as environmental factors, to provide early warnings of any changes in a patient's health.

The ninth startup is Zebra Medical Vision, which uses medical imaging to provide early detection and diagnosis of diseases. By combining deep learning algorithms with a large database of medical images, Zebra Medical Vision can accurately identify abnormalities and alert physicians to potential problems.

The tenth startup is H2O.ai, which provides tools for enterprises to build end-to-end AI applications. H2O.ai leverages deep learning and machine learning algorithms to allow enterprises to quickly build intelligent applications that can use predictive analytics.

Finally, the eleventh startup is Skymind, which provides an open source platform called Deeplearning4j to enable developers to build and deploy deep learning applications. Deeplearning4j uses distributed computing and AI algorithms to enable developers to quickly build models with high accuracy.

In conclusion, the article showcases 11 exciting startups that are using generative AI to innovate and create solutions for a variety of industries. With the advancements in generative AI, we can expect more innovative solutions in the near future.