SuAI Technology Stack

SuAI is built on a carefully planned, modern technology stack that balances flexibility and enterprise-grade security. This combination allows SuAI to deliver intelligent automation and conversational AI solutions on-premises or in the cloud.

Core Technologies Powering SuAI

n8n – Workflow Automation & Orchestration

SuAI uses n8n, a powerful open-source workflow automation tool, to orchestrate business processes, integrate with external services, and build dynamic logic across systems. This allows SuAI to easily connect your data pipelines, trigger events, or respond to business rules in real time.

OpenAI – Natural Language Intelligence

At the heart of SuAI’s conversational understanding are large language models (LLMs) from OpenAI, enabling advanced natural language processing, contextual chat, summarization, and generative AI tasks. For sensitive deployments, SuAI can also integrate with on-premises or private LLM instances.

PostgreSQL & Supabase – Data Backbone

SuAI relies on PostgreSQL, via Supabase, as a secure, scalable backbone for structured data storage. Supabase enhances this with:

• Authentication & RBAC (role-based access control)

• Real-time updates for live dashboards

• Optional vector extensions for semantic search
  This architecture ensures robust data management, from user sessions to chatbot training logs.

Eleven Labs – Voice AI & Text-to-Speech

SuAI integrates with Eleven Labs to provide natural, human-like voice synthesis. This allows your AI assistants to engage through audio channels, enabling voicebots for call centers or accessibility-focused solutions.

AWS SageMaker – Custom Machine Learning

For ML model training, deployment, and inference, SuAI uses AWS SageMaker. This allows you to fine-tune bespoke models on your own data, supporting tasks like classification, forecasting, or entity extraction within a managed, secure environment.

AWS Bedrock – Generative AI at Scale

SuAI leverages AWS Bedrock to access and orchestrate foundation models (such as Titan, Claude, or Mistral). This enables secure generative AI capabilities that integrate seamlessly with your existing AWS resources.

AWS S3 – Object Storage & Knowledge Assets

SuAI uses Amazon S3 to manage unstructured assets like documents, transcripts, and logs. Combined with retrieval-augmented generation (RAG) workflows, S3 becomes a powerful knowledge base for AI-driven search and summarization.

Streamlit GUI - Interactive web interface

SuAI leverages Streamlit to build a lightweight, interactive web interface, allowing users to input queries, configure settings, and visualize AI outputs.