An enterprise AI platform that unifies task management across multiple LLM providers. One interface. Full control. Real results.
Services Provided
- Full-Stack Development
- Cloud Architecture
- AI/ML Integration
- DevOps & Infrastructure
- API Design
Technology Used
- React & TypeScript
- Python & FastAPI
- AWS Serverless
- LangChain & LangGraph
- PostgreSQL & pgvector
Tagged In
- AI Platform
- Serverless
- Enterprise SaaS
Multi-provider LLM architecture — one unified interface for OpenAI, Anthropic, AWS Bedrock, and more
Serverless API layer — AWS Lambda and API Gateway delivering cost-effective scalability
Event-driven execution — ECS Fargate, EventBridge, and SQS for reliable async task processing
Vector-powered knowledge bases — pgvector similarity search for context-aware AI responses
Enterprise-ready collaboration — multi-tenant organisations, teams, and role-based access control
Aionix lets teams manage AI agents and tasks across multiple providers from a single interface. No coding required. Full control maintained.
The problem was clear: organisations using AI face fragmented tooling, inconsistent interfaces, no unified task management, and scattered knowledge bases. We built the solution.
Built on AWS with SST (Serverless Stack), Aionix combines serverless architecture with enterprise-grade AI capabilities—scalable, cost-effective, and ready for production.
Multi-Provider LLM Integration
Different providers, different APIs, different auth methods. We built an abstraction layer that routes requests to the right LLM—seamlessly.
Cloud-Hosted Models
AWS Bedrock, Google Vertex AI, and Azure AI integration
Direct API Integration
OpenAI, Anthropic, Groq, Cohere, and more
Unified Credentials
Encrypted API key storage and management
Local Deployment
Ollama support for on-premise solutions
Intelligent Task Execution Pipeline
A task execution system built with Python, FastAPI, and LangChain. Runs on ECS Fargate with auto-scaling. Handles complex workflows reliably.
LangGraph-powered workflow orchestration
Complex multi-step task execution
Kanban boards
Customisable columns for task organisation
Knowledge base context injection
pgvector similarity search integration
MCP integration
Model Context Protocol for extensible tools
Automated document generation
DOCX, PDF, and PPTX format support
Event-Driven Architecture
Reliability and scale demanded an event-driven approach. AWS EventBridge and SQS handle async task execution with built-in resilience.
Decoupled service communication
Reliable task execution with retry
EventBridge Rules integration
Team progress notifications
Usage Analytics & Cost Management
Enterprise teams need visibility into AI spend. We built dashboards that track consumption, manage budgets, and help optimise costs across providers.
Credit usage tracking across all providers
Usage trends with customisable date ranges
Budget limits with alerts and predictions
Per-task cost breakdown
Detailed spend analysis
Team-level allocation
Project-level cost tracking
Knowledge Base System
Custom context makes AI responses more accurate. The knowledge base system lets teams inject their own data into any task.
Document Processing
- →Automatic document upload and chunking
- →Vector embedding generation with configurable providers
Intelligent Retrieval
- →pgvector-powered similarity search
- →Support for general and task-specific knowledge bases
Enterprise Collaboration Features
Built for teams. Multi-tenant architecture with proper access controls and audit trails for compliance.
Multi-Tenant Support
Organisation-level isolation and management
Role-Based Access
Admin and Member roles with granular permissions
Team Management
Agent and user assignments with flexible configurations
Audit Logging
Comprehensive compliance and tracking requirements
Frontend
React 18
Vite
TypeScript
Tailwind CSSAPI Layer
AWS API Gateway V2Lambda (Node.js 22)
ZodTask Execution
ECS Fargate
Python 3.12
FastAPIDatabase & Storage
Supabase PostgreSQLpgvectorAWS S3Events & Messaging
EventBridgeSQSCloudWatchAuthentication
Google OAuth
JWTAI Providers
AWS Bedrock
Vertex AI
Azure AIInfrastructure
CloudFrontWe'd love to work with you
Have a chat with our team about how we can help build your next AI-powered solution.
Contact Us