Engineered for Trust.
Designed for Scale.Discover the modular microservices, enterprise‑grade guardrails, and humanization framework that power Alquimia's on‑premise AI platform.
Our Foundational Values
Built on principles that ensure reliability, security, and seamless integration for enterprise-grade AI solutions.
Responsible AI. Verified Answers.
Our technology integrates industry-grade AI guardrails like IBM Granite and TrustyAI to ensure every interaction is safe, accurate, and aligned with your business values.
Event-Driven & Serverless
Built on Knative to enable scalable, event-driven workloads with Kubernetes-native auto-scaling for cost efficiency.
Composable
Components are loosely coupled to support dynamic workflows, easily integrating custom connectors for various communication channels.
Omni-Channel Communication
Supports WhatsApp, Slack, Email, Chat, and more. Knative Eventing ensures seamless message routing between services.
Our Architecture at a Glance
A modern, scalable architecture designed for enterprise-grade AI deployment with complete operational control.
External Systems & Channels
Core Processing Layer
Dialog Management
Context Engine
Memory Store
Analytics
AI Layer
Model Management
Inference Engine
Security & Compliance
IBM Granite
TrustyAI
Audit Logging
Infrastructure Layer
Kubernetes
Knative
Event Mesh
Monitoring
Our Core Premises
Modular Microservices
Loosely coupled components with container-first deployment for maximum flexibility and scalability.
- Dialog Management
- Memory Store
- Analytics Engine
- AI Guardrails
Event-Driven Processing
Knative-powered scaling with asynchronous processing for optimal performance.
- Auto-scaling
- Event Triggers
- Message Routing
- Webhook Handling
Enterprise Security
Comprehensive security measures with full audit trails and compliance support.
- IBM Granite Integration
- TrustyAI Filters
- Access Controls
- Audit Logging
Rich Context Engine
Advanced context management for personalized, coherent interactions.
- Session Memory
- Topic Tracking
- User Preferences
- Dynamic Context
Model Management
Flexible model deployment with support for multiple LLM providers.
- Model Switching
- A/B Testing
- Hybrid Inference
- Performance Monitoring
Integration Hub
Extensive integration capabilities for seamless connectivity.
- REST/gRPC APIs
- Channel Connectors
- Custom Adapters
- Webhook Support