At the Forefront of Human-Like AI

Vela

New Era of Intelligence

Stremly is at the forefront of human-like AI. We are actively working on building Artificial General Intelligence (AGI) through Vela—our most ambitious research initiative.

Vela represents a fundamental departure from current large language models. Instead of scaling statistical correlations, we're building a system inspired by the human brain—one that thinks, reasons, feels, and adapts with true understanding.

Drawing from neuroscience and cognitive science, Vela learns continuously, reasons causally, and evolves dynamically—just like biological intelligence. This is our path to AGI.

Core Capabilities

Vela's architecture enables capabilities that bring us closer to true human-like intelligence

Environment-Aware Intelligence

Environment-Aware Intelligence

Understands its surroundings with exceptional precision and context sensitivity.

Causal Decision-Making

Causal Decision-Making

Makes intelligent, goal-driven decisions based on reasoning, not just patterns.

Human-Like Learning

Human-Like Learning

Learns from experience in real time—no pretraining or labeled data needed.

Self-Evolving Architecture

Self-Evolving Architecture

Continuously adapts and rewires itself without external retraining.

Research Behind Vela

Our published research demonstrates our commitment to building AGI through biologically-inspired architectures

The Living Web: A Biologically-Inspired Multidimensional Neural Architecture for Artificial General Intelligence

The Living Web: A Biologically-Inspired Multidimensional Neural Architecture for Artificial General Intelligence

The paper introduces the Living Web, a novel computational model designed to move artificial intelligence closer to Artificial General Intelligence (AGI). Inspired by the structure and functions of the human brain, this architecture departs from current transformer-based models by focusing on causal reasoning, dynamic adaptability, embodied cognition, and energy efficiency. It features a multidimensional neural topology where each node can act as both input and output, supporting dense connectivity and combinatorial processing. The Living Web aims to provide a scalable, biologically plausible alternative to current AI systems, capable of adapting to new environments, learning over time without forgetting, and reasoning about the world like a human.

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