Vectormind by CohesionX is a secure, modular enterprise AI platform engineered for rapid, responsible adoption of generative AI at scale. Deployed on Microsoft Azure using modern DevSecOps practices, it empowers enterprises with automation, insight generation, and intelligent assistants—while maintaining full control over security, privacy, and compliance.

Key Features

• Domain Assistants
  Role-specific AI assistants trained on curated internal knowledge, offering contextual task support across HR, compliance, service, and operations.

• Drafting Engines
  Content generators customized to your tone and regulatory standards—ideal for legal summaries, customer comms, and internal docs.

• Agentic AI
  Autonomous agents execute complex, multi-step workflows across systems, reducing manual effort and enabling intent-driven operations.

• Platform APIs
  Secure, extensible APIs enable integration into enterprise workflows, powering domain-specific automations and orchestration layers.

• Intelligent Document Processing
  Structured data extraction from unstructured sources (e.g. PDFs, contracts), with automated ingestion, classification, and tagging.

Target Users

Vectormind serves mid-to-large enterprises across industries. Key beneficiaries include:

• Ops leaders streamlining decision cycles

• HR teams automating onboarding and employee support

• Marketing/content teams generating consistent brand-aligned output

• Customer service teams improving responsiveness and insight quality

• Compliance & legal teams enforcing AI guardrails and auditability

• IT and data officers demanding secure, scalable GenAI infrastructure

Built on Microsoft Azure

Vectormind is deployed using cloud-native services and container orchestration:

• Azure Kubernetes Service (AKS) – Scalable container management

• Azure Function Apps – Event-based logic for workflows and triggers

• Azure PaaS Storage – Encrypted, resilient multi-tenant data storage

• Azure AI Foundry – Integration of OpenAI, LLaMA, and other foundational models

Security & Compliance Highlights

• Zero Trust by Design: All services run in isolated VNets with RBAC and Entra ID (Azure AD) identity enforcement.

• Encryption Everywhere: TLS 1.2+ in transit, CMK-encrypted data at rest, and optional field-level encryption.

• AI Guardrails: Role-aware prompt controls, output sanitization, hallucination filters, and content moderation pipelines.

• Tenant Isolation: Per-customer Kubernetes clusters, databases, and vector indexes for data and compute segregation.

• Observability: End-to-end telemetry and anomaly detection via OpenTelemetry instrumentation.

• Compliance Alignment: Aligned to ISO/IEC 27001, NIST CSF, AI RMF, and POPIA. Implements secure deletion (NIST 800-88), PAM, and Conditional Access.

Solving Real Challenges

• Tool Sprawl → Unifies GenAI in one governed interface

• Security Risk → Protects sensitive IP and personal data with enterprise-grade controls

• Adoption Barriers → Built for non-technical users with role-optimized assistants

• Workflow Bottlenecks → Automates repetitive tasks and speeds content generation