Alternatives to the neural network architectures at the heart of AI models are emerging, such as OpenAI's o1. Called symbolic AI, this AI uses rules related to a specific task, such as rewriting a line of text, to solve a larger problem. Symbolic AI is elegantly able to solve some of the problems faced by neural networks, and recent research shows that it can be scaled. (Historically, symbolic architectures have not been computationally efficient.)

Scalability breakthroughs have given rise to a slew of startups using symbolic AI in a variety of domains, including Orby and TekTonic (which make business automation tools), Symbolica and Likely AI (founded by Alexa co-creator William Tunstall-Pedow). One of the most recent companies to emerge from the shadows is Augmented Intelligence, which has raised $44 million in backing from investors including former IBM Chairman Jim Whitehurst. The accentuated intelligence has built the conversational model Ai Apollo, which claims that "unit two, it would seem that opposite technologies (neural networks and symbolic AI) in a cohesive, efficient and formed model." This makes the results more predictable and "agents" - the new AI Sudword of the day - what a typical neural network system.

 For example, instead of simply answering a question about flights with instructions on how to book, a commercial customer can use information increased in AI to give a list of prices and reserve a flight for a customer, according to the company provided. But wait, can't ChatGPT do that already? Yes, CEO Ohad Eluelo admits. However, he claims that this requires more composition and manual integration than an increase in intelligence technology.

"There is a big difference between these chat robots such as ChatGpt. The main purpose is to take measures on behalf of companies and contact users who are working on it," said Elhelo . “Once you connect the AI to tools  either to retrieve information or to act the model is not relying anymore on its training data, and the quality of intelligence drops dramatically.”

Augmented Intelligence’s AI can power chatbots that answer questions about any number of topics (e.g. “Do you price match on this product?”), integrating with a company’s existing APIs and workflows. Elhelo claims the AI was trained on conversation data from tens of thousands of human customer service agents. Putting aside people's feelings about branded chatbots for a moment, why should businesses choose Augmented Intelligence over other AI vendors? For example, Elhelo's AI claims to be trained to use tools that retrieve information from external sources to complete tasks. AI from OpenAI, Anthropic and others can use their tools in a similar way, but Elhelo says augmented intelligence AI performs better than neural network-based solutions.

Elhelo says the AI ​​provides logs of how it responded to queries and why, making it more explainable and giving companies the opportunity to refine and improve the AI's performance. It also doesn't train on enterprise data, Elhelo said, and only uses resources that it has been granted access to in a given context. "Apollo doesn't require training on enterprise information and takes into account rules-based guidance from the enterprises that deploy Apollo," the company's fact sheet states. This part about not training on customer data will certainly appeal to enterprises concerned about leaking secrets to third-party AI. Last year, Apple, especially employees, banned the use of Openai tools and quoted confidential data.

Currently, Ellero has been suspiciously affirmed because the increase in information can "eliminate hallucinations". However, it seems that 40 companies have obviously acquired the company. Recently, we have provided Google Cloud and strategic partnerships to introduce models on the platform. Elhelo doesn't share revenue information, but he told  that Augmented Intelligence's latest $10 million funding round valued the company at $350 million, a relatively high figure for an AI vendor that's just brought its product to market (and wasn't founded by an AI industry giant).