VelorQ is the hub. Eight purpose-built, compliance-grade AI models connected by the Knowledge Communication Layer — for education, finance, healthcare, pharma, retail, and logistics.
Each model is purpose-built for its domain — fine-tuned on specialised data, governed by industry-specific compliance, and connected to every sibling model through the Knowledge Communication Layer.
Adaptive learning, exam readiness prediction, in-course tutoring.
Banking, wealth, insurance, fintech — explainable & compliance-grade.
Clinical intelligence with auto-escalation below confidence threshold.
Pharmacovigilance, clinical trials, regulatory submissions.
Demand forecasting, promotion ROI, customer lifetime value.
Route optimisation, predictive maintenance, driver safety.
Content recommendation, audience modelling, streaming analytics.
Dynamic pricing, occupancy forecasts, guest personalisation.
The KCL is a protocol-governed knowledge exchange. Non-classified signals flow between models — fraud patterns, demand signals, safety alerts, pedagogical strategies — all audit-trailed, all consent-based. Tenant data stays isolated; only shareable knowledge moves across the hub.
Cross-domain knowledge flows · Non-disclosure by default · Full audit trail on every exchange · Tenant-level isolation preserved
Every exchange follows strict rules. No free-form data sharing.
Database-level isolation. Your data never touches anyone else's.
Every KCL exchange logged. Regulatory-grade compliance.
VelorQ's architecture separates what should stay private from what should be shared. Tenant data is isolated at the schema level. Knowledge — non-classified signals, patterns, frameworks — flows between models through the Knowledge Communication Layer.
The Knowledge Communication Layer is a protocol-governed exchange. Every inter-model message is classified, validated, and audit-logged before routing. Fraud patterns from one domain enrich another. Demand signals from retail pre-position logistics fleets. Drug safety alerts reach clinical endpoints in seconds.
Isolation is enforced at the schema level — not as an access-control policy that can be misconfigured. Each tenant gets a dedicated vector store namespace, a dedicated model fine-tuning layer, and a dedicated audit trail. Cross-tenant leakage is architecturally impossible.
Architecture choices cascade through every model — tenant isolation, confidence scoring, automatic escalation, full audit trails. Every model inherits the same compliance foundation.
A single-domain AI improves only with more data in its domain. A model family connected by KCL improves when any sibling learns something new. Retail demand signals help logistics. Drug safety alerts reach clinicians. Pedagogy strategies flow across every domain that needs to train humans.
Request a demo of the models most relevant to your industry. We'll walk you through the KCL, tenant isolation, and deployment options.