AI-First Architecture Embedded Across
Every KreupAI Enterprise Platform
1,210 governed AI agent roles, 12,472 executable tasks, sub-second vector RAG, Model Context Protocol (MCP) tools, and A0-A4 autonomy governance built into every platform from the ground up.
6 Foundational AI Platform Capabilities
Explore our modular AI engines powering intelligent automation, time-series forecasting, vision inspection, and decision support across all products.
Predictive Maintenance, Anomaly Detection & Time-Series Forecasting
AI-powered machine learning models predicting asset failures, raw material demand, and operational bottlenecks before disruption occurs.
Domain-Trained AI Copilots, Autonomous Agents & Decision Support
Specialized enterprise AI assistants that execute complex workflows, recommend next-best actions, and augment human decision-making across departments.
NLP Document Intelligence, Contextual RAG & Semantic Search
Automate contract parsing, medical chart extraction, policy discovery, and multilingual document search with sub-second vector RAG.
Autonomous Event Workflows, Smart Routing & Escalation Engines
Self-optimizing event routing engines that analyze operational signals, prioritize critical tasks, and trigger automated escalation paths.
Auto-Generated Executive BI Cockpits & Role-Based KPIs
Self-optimizing executive dashboards that automatically surface critical operational KPIs, highlight metric anomalies, and generate executive summaries.
Industrial Computer Vision, Edge Quality Inspection & Safety
High-speed camera vision models inspecting product quality on manufacturing lines, detecting PPE safety violations, and monitoring site security.
Common AI Services Layer
Centralized MLOps, Model Context Protocol (MCP) gateways, vector indexes, and multi-tenant security layers shared by all KreupAI platforms.
Unified MLOps & Model Gateway
Centralized AI infrastructure handling rate limits, prompt version pinning, response caching, token cost accounting, and automated PII redaction.
Governed Multi-Tenant AI Engine
Strict per-tenant data and model isolation enforcing custom RBAC, local GPU hosting options, and zero outbound model training exposure.
Model Context Protocol (MCP) Integration
Standardized tool discovery enabling autonomous AI agents to execute typed API calls across ERP, CRM, WMS, and CMMS databases securely.
Grounded RAG & Citation Engine
Vector search pipelines (pgvector/Pinecone) retrieving exact SOP documents, manuals, and regulatory laws with inline source citations.
AI Security, Autonomy & Safety Controls
Enterprise governance that enforces strict autonomy limits, human sign-offs, PII redaction, and unalterable decision audit logs.
5-Level Autonomy Ladder (A0 → A4)
Agents start at read-only observation (A0) or assist mode (A1), elevating to higher autonomy levels only when evaluation pass-bars exceed 99%.
Guarded Roles & Human-in-the-Loop (HITL)
High-risk clinical, legal, credit, and safety roles are permanently capped at A1 draft-and-approve, routing irreversible actions to mobile HITL queues.
Immutable Decision Log & Audit Trail
100% of agent reasoning chains, tool calls, model prompts, and execution outputs are logged into an unalterable audit trail.
Frequently Asked Questions
Everything you need to know about implementation, compliance, and features.
KreupAI's AI-First Architecture embeds governed artificial intelligence directly into all 19 enterprise platforms (FaciOS, HealthcareOS, OptiForge, CohortaOS) rather than bolting it on as an afterthought. It provides pre-trained models, vector RAG, and multi-agent workflows out of the box.