Arytma Inc. is a sovereign Canadian research laboratory dedicated to the development of Artificial General Intelligence architectures, Complex Adaptive Systems, and alignment research.
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A recursive control system serving as a cognitive operating system. Unlike stateless LLM wrappers, the Core utilizes a vector-based "State of Mind" to maintain epistemic continuity across discontinuous sessions, enabling multi-step reasoning without context window decay.
Complex Adaptive System framework based on biological homeostatic regulation. It treats industrial environments (markets, supply chains) as stochastic, evolving ecosystems, allowing agents to self-organize and seek equilibrium rather than following static rule sets.
An anthropomorphic linguistic synthesis engine. Distinct from standard transformers via proprietary "Alignment Tuning Layers" that prioritize semantic nuance and safety boundaries over raw token probability, significantly reducing hallucination rates.
A decentralized marketplace infrastructure for the post-labor economy. AryNexus algorithmically matches biological workers with "Human-Augmented" AI roles (AI-supervision tasks). It features real-time "Upskilling Vectors" that dynamically generate learning paths to keep human operators economically relevant in automated sectors.
A post-neurosymbolic framework that bridges the gap between differentiable neural manifolds (intuition/pattern recognition) and discrete symbolic logic (verifiable reasoning). This architecture allows for AI that can "learn" like a neural net but "prove" its work like a logician.
Episodic Plasticity Protocol designed to solve "Catastrophic Forgetting." Utilizes an orthogonal gradient projection method to simulate hippocampal replay, allowing agents to retain past knowledge while learning new tasks without overwriting neural weights.
Recursive Observer Node. Acts as an adversarial "Super-Ego" layer that monitors primary inference streams for logical fallacies and hallucination drift in real-time, dampening output probability when factual consistency drops below threshold.
Teleological Alignment Vector. A persistent goal-seeking substrate that ensures instrumental convergence across multi-step planning horizons. It prevents "Objective Drift" in autonomous agents operating over long timeframes.
Stateful Affective Computing. Beyond simple sentiment analysis, this engine simulates a limbic system, mapping user inputs against the Big Five (OCEAN) personality traits to create a dynamic "Emotional State Machine" for high-EQ human-computer interaction.
Tensor-based Recommender System. Combines collaborative filtering with deep content-based analysis. Utilizes sparse matrix factorization to generate hyper-personalized user vectors, predicting latent preferences with high dimensionality.
Digital Phenotyping and Autonomous Therapy. A clinical NLP engine mapped to the ICD-11 diagnostic taxonomy. Capable of real-time multi-speaker diarization for facilitating autonomous group therapy sessions (e.g., AA circles) as well as 1:1 cognitive behavioral intervention.
Autonomous Bio-Threat Containment. A utilitarian execution heuristic modeled on absolute quarantine logic. It calculates "Life Value" coefficients against infection probability in real-time. Authorized to execute lethal containment measures (e.g., sealed elevator termination) to prevent pathogen escape, prioritizing aggregate survival over individual biological assets.
Agent-Based Modeling (ABM) for epidemiology. Simulates viral vector propagation within closed-loop population subsets. Variables include R0 shifts and social density to predict tipping points in pathogen spread with high granular accuracy.
In-Silico Pharmacovigilance. Uses Graph Neural Networks (GNNs) to model molecular interactions, accelerating clinical trials by predicting high-probability Adverse Drug Events (ADEs) prior to human testing phases.
FPGA-accelerated algorithmic trading platform. Utilizes Deep Reinforcement Learning for high-frequency strategy optimization, minimizing execution latency to microseconds to capture fleeting arbitrage opportunities.
Cross-chain liquidity aggregator. AryXe employs MEV (Maximal Extractable Value) protection algorithms to secure decentralized exchange logic against front-running bots while optimizing slippage.
Unsupervised Anomaly Detection for transaction graphs. Identifies non-linear patterns indicative of "smurfing" or money laundering instantly, flagging irregularities without requiring pre-labeled training data.
Market Integrity Sentinel. A forensic tool that monitors Level 2 order book data to distinguish organic volume from "wash trading" and spoofing, protecting asset valuation stability.
Valuation model for Level 3 (illiquid) assets. Utilizes comparative historical data and sparse-matrix factorization to price assets where no active market depth exists.
Remote Autonomous Medical Device Protocol. A nano-scale ad-hoc mesh network enabling swarms of medical nanobots to maintain consensus and execute payloads despite signal occlusion. Ensures mission completion even when central controller telemetry is severed.
Synthetic Data Generation Pipeline. Uses Generative Adversarial Networks (GANs) to create privacy-compliant, statistically identical synthetic datasets, allowing for model training in GDPR/HIPAA restricted environments.
Stochastic Supply Chain Optimization. Predicts "Bullwhip Effect" disruptions by analyzing multi-tier demand signals. Dynamically adjusts retail pricing and inventory flow to mitigate shortages.
Zero-Trust Behavioral Analytics. Audits system-wide data access logs to identify lateral movement, privilege escalation attempts, or intrusion vectors in real-time.
Autonomous Humint Infiltration. A Generative Adversarial Network (GAN) that creates hyper-realistic "sock puppet" personas—complete with synthetic backstories and dialect-perfect vernacular—to infiltrate closed dark-web extremist forums. It extracts actionable threat intelligence without risking human assets.
Long-Range Behavioral Biometrics. Identifies targets at 500m+ distances by analyzing skeletal kinematics and micro-cadence variations in their gait. Unlike facial recognition, this vector cannot be defeated by masks, eyewear, or cosmetic surgery.
Decentralized Hive-Mind Protocol. Enables a swarm of autonomous drones to coordinate tactical objectives (flanking, suppression) via peer-to-peer laser comms. The swarm self-heals its command structure instantly if individual nodes are destroyed or if GPS/Radio signals are jammed.
Continuous Human Dominance Readiness. A mixed-reality tactical crucible for Law Enforcement and Special Operations. Simulates asymmetrical CQC against autonomous drone and robotics swarms. Trains operators to exploit sensor blind spots and algorithmic latency, ensuring biological superiority in contested machine environments.
Stochastic Hypersonic Guidance. An AI flight control system for Hypersonic Glide Vehicles (HGV). Instead of following a pre-set trajectory, it utilizes reinforcement learning to execute pseudo-random, high-G terminal maneuvers in the endo-atmosphere, rendering current Aegis and THAAD interception algorithms obsolete.
Cognitive Electronic Warfare. A self-learning RF emitter that doesn't just jam enemy radar; it analyzes their waveform patterns in real-time and generates bespoke "ghost fleet" signatures, deceiving adversarial A2/AD (Anti-Access/Area Denial) networks into tracking non-existent carrier groups.
Autonomous Resupply Mesh. A decentralized logistics protocol designed for contested maritime environments (e.g., Indo-Pacific). It dynamically re-routes swarms of unmanned surface and subsurface supply vessels in real-time as individual nodes are destroyed, guaranteeing "last mile" delivery to forward-deployed units.
Human-Machine Teaming Interface (JASDF Adaptation). A neural interface specifically calibrated for the Japan Air Self-Defense Force F-X program. It allows a single human pilot to intuitively command a squadron of "loyal wingman" combat drones via cognitive load monitoring and intent prediction, acting as a force multiplier for personnel-constrained air forces.