Insider Brief
- Mindcorp.ai has officially emerged from stealth mode.
- The company described its first product — Cognition — as an AI system designed for enterprise superintelligence.
- Cognition will rely on both humans and artificial intelligence to reach superintelligence, according to the company.
Mindcorp.ai has officially emerged from stealth mode, revealing its main product, Cognition. The announcement was made by Nova Spivack, the founder of Mindcorp.ai, who described Cognition as a powerful AI system designed for enterprise superintelligence.
“We have built the most powerful AI on the planet for enterprise superintelligence,” Spivack said in a Facebook post. “Using teams of intelligent agents that embody the skills of subject-matter experts, collaborating with humans, our product, Cognition, automates research, analysis, and strategy for global consultancies and Fortune 1000 companies.”
The platform, Cognition, represents an innovative approach toward applying AI to complex, multi-step knowledge work, according to information from the company’s new website. Unlike typical chatbots or conversational AI tools, Cognition functions as an “enterprise-scale analyst-in-a-box” that integrates human expertise with advanced AI capabilities. This hybrid approach is designed to perform in-depth analyses and generate insights that rival the work of top financial analysts and strategists.
Spivack provided the vision of Cognition’s capabilities: “For example, it can do a full financial, strategic, competitive and operational analysis of a public company, or a deep analysis of a whole industry sector – to produce findings and insights at the same level as top financial analysts and strategists.”
Advanced AI Capabilities
Mindcorp.ai’s Cognition leverages a unique architecture known as Cognitive AI, which surpasses the limitations of traditional large language models (LLMs). According to a recent paper on arXiv, Cognitive AI is defined by a dual-layer architecture that includes a cognitive layer above the conversational layer where LLMs operate. This architecture enables the system to perform higher-level cognitive functions that are essential for complex knowledge work.
The paper outlines the distinctions between conversational AI and Cognitive AI, emphasizing that while LLMs are good at generating text based on probabilistic models, they fall short in reasoning and multi-step problem solving. Cognitive AI addresses these limitations by incorporating a neuro-symbolic reasoning layer — simply a method that combines neural networks with symbolic reasoning — to enable more genuine cognitive processes.
“Transformer-based LLMs (or similar probabilistic language models) will never be able to replicate what Cognitive AI is capable of, and in fairness, they were not designed to,” the paper states. “Cognitive AI represents a foundational shift in how AI systems are conceived, developed, and deployed.”
Operational Excellence and Revenue Growth
Spivack reviewed the operational prowess of Cognition, focusing on its ability to conduct extensive research and produce detailed analyst reports efficiently. “A typical analysis might be a project by a team of a dozen intelligent subject-matter expert agents, across 40 steps of analysis, reading 5,000 sites, plus earnings calls, financials, filings, and other sources – with 500+ deep research dives into special topics, yielding 20+ detailed analyst reports (using around 50 million tokens!),” he explained in his post.
This capability has already translated into significant revenue for Mindcorp.ai, even during its stealth phase. “Two years in the making, with great early investors and an experienced team; already in significant revenue,” Spivack added.
Implications for the AI Industry
The emergence of Mindcorp.ai and its Cognition platform could be an important pivot for the AI industry, shifting the focus from conversational AI to Cognitive AI. As the arXiv paper suggests, this transition is not merely an incremental improvement but a fundamental rethinking of AI’s approach to performing complex cognitive tasks.
“The theoretical and practical limitations of LLMs in performing true cognition highlight the necessity of advancing Cognitive AI technologies,” the paper notes. “Cognitive AI’s ability to engage in genuine reasoning, understanding, and creativity opens up new possibilities for AI applications, pushing the boundaries of what artificial intelligence can achieve.”
If this new hybrid human-AI approach to superintelligence is successful, there could be impacts across industries and industry sectors, from finance and consulting to healthcare and beyond. By enabling a deeper integration of human and machine intelligence, Cognitive AI promises to enhance productivity and innovation in knowledge work.
Future Outlook
Looking ahead, Spivack and his team at Mindcorp.ai say they will continue to refine Cognition and expand its capabilities, moving toward realizing the potential for disruption and transformation in the enterprise AI landscape.
“As we forge ahead, the development and deployment of Cognitive AI stands as a testament to human ingenuity and as a step towards a future where AI and humans collaborate to achieve levels of exponential intelligence that neither could accomplish alone,” the arXiv paper concludes.
Spivack added in his post: “Huge mountain ahead, but making progress!”
