The internet is littered with the tales of companies that have tried to harness the power of deep learning to boost their marketing campaigns, and one of those startups is now raising $1.4 million in Series A funding from Gena.
The company, which was founded in 2015, is the first of its kind to use AI to power its platform, which it says can deliver better performance and engagement than existing websites.
“We’ve spent years learning from others, learning from what’s working and what’s not,” said Gena CEO and cofounder David Egorovich.
“The result is a system that can do a better job at serving people and providing better results.
Gena can’t do everything on its own, but it’s the best of what’s possible.”
Gena’s AI-driven search engine, Gena Analytics, lets people search and rate websites and brands using the “best of the internet” to determine whether they’re a good fit for their needs.
For example, users can choose to rate a product as high-quality or low-quality based on its rating on a scale of 1 to 5 stars, and they can add ratings for reviews, reviews of others, and reviews of the product itself.
Users can also use Gena to search for similar products or search for businesses that are similar to them, as well as businesses that sell similar products.
Genas AI-based search engine uses machine learning algorithms to learn to rank products according to user preferences and reviews.
“Gena Analytics can do many things that traditional search engines cannot do, but we’re using artificial intelligence to do a lot of things that we couldn’t do,” Egorvich said.
“What Gena is doing is using machine learning to improve the quality of the results.”
Using machine learning is a new trend for online marketing, and it’s one that’s taking off in recent years.
Google and Facebook have both taken to incorporating machine learning into their algorithms to make their services faster and more accurate.
Google’s DeepMind, for example, has already been using deep learning in search to improve its ranking algorithms, and Google CEO Sundar Pichai recently talked about the company’s future using machine-learning technology to improve search results.
In this case, Genas new AI-enabled search engine can use deep learning algorithms that it learned to use on its platform to do things like help it rank the products better and offer better results for users.
Egorich said that by using machine intelligence to power the platform, Genes AI- powered search engine is able to deliver higher quality and better user experience.
“As we’ve said before, we don’t need a search engine that’s able to rank 100 percent for all queries.
We need a machine that can perform the most relevant search queries,” Egonovich said.
Ego, a company that Egorikhovich cofounded in 2015 and founded with David Egan, uses deep learning technology to help it improve its algorithms.
Ega, the company behind Gena and Ego Analytics, says it’s also using AI to help make its own search engine more accurate and perform better for users and advertisers.
“Using machine learning, we have the ability to perform machine learning and AI optimisation on our own data to make our search engine better,” Ega CEO and Cofounder Josh Elkins said in a statement.
“In the past, we would have relied on our human team to perform these tasks.”
Elkins also said that they are building their search engine so it can do the same for its users.
“While we use the same technology, we’re making the AI process of making these queries more human and easier for our users to perform, so that they can more easily get the answers they need.”
In addition to being able to use machine learning as part of its search engine technology, Ega also uses deep neural networks to analyze data from the platform and make predictions based on that data.
“Deep learning can provide better insights into the accuracy of the search engine,” Ego CEO and CEO Joshua Elkins added.
“It’s a powerful tool, but sometimes it’s hard to see what it’s doing.
It’s good to see our search is better.”
Genas search engine was originally designed for a different kind of search, one that involves finding a company and looking at their web presence and the links that are there.
But as companies like Google and others have learned from other successful companies using AI-generated search, the tools are becoming available to many other kinds of search as well.
Genos search engine could be a good example of a company using the power that AI has to help improve its search results, said Elkins.
“AI can be a tool for all kinds of different things, but right now it’s really great for the people that use it for their search,” he said.