Enterprise Automation Framework
Pre-built, production-ready modules assembled through configuration — not custom code. A database-driven workflow engine that models your processes as directed acyclic graphs, compressing months of development into weeks.
Capabilities
Database-driven orchestration modelling processes as DAGs. Configurable node executors for API calls, calculations, decisions, notifications, and data transfers with parallel execution support.
Feature store, data lineage, and RAG pipelines across 15+ databases: MariaDB, PostgreSQL, SQL Server, MongoDB, Redis, ChromaDB, InfluxDB, DynamoDB, Neo4j, Turso, and more.
LLM orchestration and model serving via Ollama, vision and embeddings, XGBoost and scikit-learn scoring, Prophet forecasting, Document AI, Tesseract OCR, and vector search with ChromaDB.
Webhooks, REST, and SOAP integrations with credential caching. Bureau connectors (Experian, TransUnion, Compuscan), Shopify, Genesys, and custom adapters for legacy systems.
WAF with ModSecurity and OWASP CRS, AES encryption at rest, RBAC, health checks, penetration testing, TLS 1.2+, OAuth 2.0, AWS KMS/HSM, and real-time alerts.
MQTT and RabbitMQ for real-time notifications, email, SMS, Slack, WhatsApp, Discord, and PagerDuty integrations with configurable routing and escalation.
Technology Stack
A carefully selected stack optimised for performance, reliability, and developer productivity.
All components are implemented in Python — a modern, agile language well suited to rapid and portable development.
We run our software stack on Debian Linux, deployed across a mixture of on-premise infrastructure and multi-cloud environments (AWS, Azure, GCP). This hybrid approach gives our clients full control over data sovereignty while leveraging cloud scale where needed.
We integrate with multiple database architectures — relational, document, time-series, columnar, and vector stores — choosing the right engine for each workload.
Python 3.12+ FastAPI Uvicorn Cython
MariaDB PostgreSQL SQL Server Oracle MongoDB Redis DynamoDB SQLite InfluxDB Neo4j ChromaDB Turso
RabbitMQ MQTT Mosquitto HiveMQ
Ollama XGBoost scikit-learn TensorFlow Prophet Document AI Tesseract Pinecone
AWS EC2 RDS S3 KMS
Docker Proxmox LXD Keycloak Infisical Cloudflare
Email SMS WhatsApp USSD Asterisk PBX Whisper AI Slack Discord PagerDuty
Bootstrap 5 jQuery Chart.js ApexCharts DataTables Leaflet ACE Editor
Architecture
Axion organises functionality into discrete factory modules — each handling a specific business domain. Assemble what you need, configure it to your rules, and deploy.
Axion comprises a myriad of interconnected components built to deliver customer engagement verticals. Each module is configurable and localisable for new markets and use cases.
Shared foundation: data access, workflows, connections, configuration. Compiled to native code via Cython.
Business logic: calculations, classifications, scoring engines, and external API integrations.
Report generation, data presentation, exports to CSV, JSON, YAML, Excel, and Markdown.
AI/ML integrations: local LLMs, image generation, time-series forecasting, and vector search.
Web server components, form handling, page templates, and field definitions.
Chat and messaging: Discord bots, WhatsApp integration, and console interfaces.
Inbound and outbound webhook handlers with parameter validation and output mapping.
Deployment tooling, Cython compilation, container management, and configuration.
Data import handlers and export formats supporting CSV, JSON, YAML, Excel, and more.
Let us walk you through the platform and show how it fits your use case.