Questions about cognitive AI infrastructure.

Answers to the most common questions from research teams, healthcare operators, and enterprise architects evaluating MindVortex.

A cognitive AI platform models the mechanisms of human attention — salience detection, working memory, executive control — as software architecture layers. Unlike a standard large language model that generates text from statistical patterns, a cognitive platform decides what deserves focus before producing any output. MindVortex implements these layers as production infrastructure that integrates with your existing data systems, clinical workflows, or research pipelines.

Consumer AI assistants are general-purpose text generators without organisational context, attention discipline, or compliance controls. MindVortex is infrastructure — it can incorporate LLM components as one module among many, but the platform's value lies in the cognitive architecture surrounding those models: salience routing that filters noise, working memory that maintains case context, and executive control that coordinates multi-step reasoning. We are not a chatbot product; we are the system that makes AI useful under complexity.

Canadian clients default to Canadian data residency. We support on-premises deployment, private cloud instances, and hybrid configurations where sensitive data never leaves your network. All processing timestamps use the America/Regina timezone. Federated learning protocols allow model adaptation without centralising raw data. Full details are in our Privacy Policy.

Yes. Privacy by architecture is a core design principle. We implement consent management, purpose limitation, data minimisation, retention schedules, and breach notification procedures aligned with the Personal Information Protection and Electronic Documents Act. Our contact forms require explicit PIPEDA consent before submission. Healthcare deployments additionally address provincial health privacy legislation.

Vortex Core deployments typically complete in twelve weeks. Neural Pathways engagements run twenty weeks. Standalone Attention Audits deliver within four weeks. Timelines depend on data integration complexity, governance review cycles, and the number of cognitive domains being configured. We provide a detailed project plan during the initial assessment phase.

Yes. Our Integration Layer service builds custom adapters for FHIR-compatible EHR systems, major ERP platforms, data warehouses, and proprietary tools. Salience scoring is applied at every integration boundary so that only high-value signals enter the cognitive pipeline. We provide documentation, test suites, and a ninety-day stability warranty on all connectors.

No. MindVortex systems produce computational inferences based on configured attention models and input data. These outputs are not medical diagnoses, legal opinions, or financial recommendations. All AI-generated analyses must be reviewed by qualified professionals before informing decisions in regulated contexts. Our platforms are designed to augment human expertise, not replace professional judgment.

We offer tiered Platform Support contracts covering monitoring, model retraining schedules, attention weight calibration, and incident response. Training and Enablement packages certify your operators on salience tuning, memory policy configuration, and interpretability dashboards. Support is delivered from our Saskatoon office during America/Regina business hours, with emergency escalation for production-critical deployments.

AI Transparency Notice: Answers referencing MindVortex AI capabilities describe computational systems that produce inferences, not human expertise. Always validate AI outputs with qualified professionals in clinical, legal, and financial contexts.