Neuralogics has followed the industry trend that sees technology vendors label their AI engines with a human name. With Salesforce Einstein, IBM Watson and Davis (that one’s Dynatrace) and even the possible inclusion of Waldo Search already with us, Neuralogics now joins the family with Henrik.
Named after Neuralogics co-founder Henrik Hofmeister (his partner Jacob Laurvigen was generous enough to step back), this is an AI framework designed to enable any user to create what the company promises are “fully functional software applications” from a simple prompt.
Laurvigen, who serves as CEO and Hofmeister, who serves as chief scientist & CTO exited their previous AI and intelligence company in an acquisition two years ago. They then assembled a software engineering team made up of developers and data scientists fromTradeshift, Booking.com and Comcast. The team spent two years building the framework that made today’s launch possible.
Cheesy, But Heartfelt
“It’s our life’s work,” said Hofmeister. “Henrik.ai is pushing the boundaries of AI to amplify human potential and meet the dynamic needs of our evolving reality. We are committed to leading the AI paradigm shift, providing state-of-the-art solutions that enhance efficiency, spur creativity and tackle complex challenges.”
Not content with using every currently available buzz phrase in the technology industry in his commentary, Hofmeister suggests that this new AI tool can be used by any worker, regardless of the scope of their technical knowledge. He says that this simplified approach to application development can be used by anyone from a business leader, to a healthcare professional, an educator, or an entrepreneur.
“During my time as senior director of product at Comcast, I saw firsthand how long turnaround times and critical delays in bringing new customer solutions to market could slow down innovation,” said Christian O. Petersen, chief growth officer and founding team member at Neuralogics.
Multi-Contextual Intelligence
At the core of Henrik.ai is a network of specially trained AI models, known as “multi-contextual intelligence” functions, which work together to build complete, compliant software systems from scratch. The AI-native approach ensures that the software created is not only functional but also scalable, secure and adaptable to the technological landscape.
As it sounds, the algorithmic logic behind multi-contextual intelligence is designed to create an AI model capable of working across multiple contexts, adapting to various environments and scenarios. This is not multi-modal AI in the sense of intelligence applicable to text, speech, video and other unstructured (perhaps spatial) data; and this is not multi-model AI as such i.e. intelligence functions drawn from a selection of AI services that have been woven together to form a more complex notion of machine understanding… if anything, it is an amalgam of the two approaches combined with what Neuralogics calls its disciplinary matrix.
The Disciplinary Matrix, Re-Coded
“The disciplinary matrix at Neuralogics serves as the foundational representation of established truths and knowledge across various domains – computer science, cognitive psychology, linguistics and systems engineering. It ensures that our AI systems are built upon a robust framework of interdisciplinary knowledge, allowing them to understand and solve complex problems with depth and precision,” notes the company, in its core literature.
Neuralogics says it has also incorporated a good deal of adaptive learning into its platform so that its AI systems can make use of advanced learning algorithms that allow them to adapt based on new data, user interactions and changing environments. Cementing guardrails to ensure all AI “decisioning” is logical, ethical and transparent, the company’s multi-contextual approach may mark this out as not just another AI service innovation, but one that emulates a new facet of encoded human behavioral activity.
Plus, it’s AI made by a man called Hofmeister, so any users in the UK will drink to that.
