Neurologyca announced Neurologyca Labs on 30 June, formalising research work that has been running inside the company for several years. The division will produce technical papers, benchmarks, datasets and evaluation frameworks, and coordinate collaborations with universities, research institutions, enterprise technology companies and AI platform providers.
The company describes Human Context Intelligence as the ability for AI systems to recognise and respond to shifting human signals in real-time interactions: intent, trust, cognitive load, confidence, stress and readiness to act. Its platform converts facial dynamics, voice patterns and interaction behaviour into structured, machine-readable context delivered through an API, designed to integrate into existing AI systems and applications across coaching, wellness, education, enterprise workflows and agentic platforms.
Juan Graña, CEO of Neurologyca, set out the research premise: “AI has made extraordinary leaps in recent years when it comes to understanding information, but understanding people remains one of the most important unsolved problems in the field. The next generation of intelligent systems will not be defined solely by how well they reason or how many tasks they can automate, but by how effectively they adapt to the humans they are working with.”
Neurologyca Labs will organise its agenda across four areas: alignment of AI systems to evolving human intent and trust; adaptive agents and human-centred robotics; digital wellness and cognitive health; and new benchmarks for measuring context-awareness and human alignment in real-world deployments.
Marc Fernandez, Chief Strategy Officer, described the evaluation gap the division is designed to address: “Most AI systems today are evaluated based on accuracy, speed, task completion, or output quality. Human behavior is not static. During any interaction with an AI system, our intent can shift, our confidence can rise or fall, we can become overloaded, we can hesitate, and our trust can change. If AI is going to become a meaningful partner in decision-making, it needs to understand and respond to those dynamics in real time.”
The first technical publications from the division are expected in the coming months. Neurologyca is currently running an early access programme for its platform. The company is based in San Francisco.
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