Catalyst is a production AI platform for teams that want the power of modern models without the fragility of demo-grade apps. It pairs a modern web experience with a persistent background service to deliver real-time chat and voice, retrieval across your knowledge base, proactive workflows, and deep integrations—while enforcing hard multi-tenant isolation and operational control from day one.
Under the hood, Catalyst is built like infrastructure: tenant-scoped data and configuration, model routing across providers, vector-backed RAG, tool orchestration with safety gates, and the observability and governance hooks needed to run AI safely in real environments. The result is AI that doesn't just "answer"—it operates: predictably, securely, and at scale.
If you're moving from prototype to production, Catalyst is the foundation that lets you ship fast and stay in control.
Production Environment
Catalyst is fully operational, deployed on modern cloud infrastructure with enterprise-grade security and scalability.
- Platform: Fly.io (Python 3.11+)
- Database: Managed PostgreSQL + pgvector
- API: REST (WSGI) & WebSocket
- Fully Operational
- Platform: Vercel (Next.js 16)
- Apps: Chat Interface & Admin Dashboard
- Styling: Tailwind CSS + Framer Motion
- Production Ready
Security & Trust
Catalyst is built for environments where privacy and governance matter. The platform enforces hard tenant isolation across API access and storage, supports modern authentication (JWT + OAuth), and includes an encrypted file-handling pipeline for sensitive documents.
Operationally, it's designed to be auditable—so teams can reason about access, behavior, and system activity with confidence.
Tenant-level data separation
Modern authentication
Secure file handling
Operational Control
Catalyst isn't just an API—it includes a comprehensive Admin Dashboard for managing tenancy, routing logic, and system observability.
System Control
The command center for the Catalyst service runtime.
Configure default AI models, reasoning effort, and verbosity globally.
Hot-swap Web Search, Proactive Messaging, and Tool integrations.
Monitor proactive agents, data fetchers, and checkpoint systems.
Manage TTS/STT providers and voice model selection.
Zero-Dependency Philosophy
While many modern AI systems rely on heavy abstraction frameworks like LangChain,Catalyst implements its own lightweight LLM Router and Tool Runtime.
- Deterministic Control
We know exactly what prompt is sent, every time. No hidden prompt injection from library updates.
- Hard Multi-Tenancy
Built from day one to isolate data per-tenant via RLS, rather than retrofitting it.
- Micro-Latency
Essential for our Realtime Voice mode, where every millisecond of overhead counts.
System Architecture
Catalyst Core Service
Python 3.11 • AsyncIO • FastAPI
Adaptive Voice Architecture
Direct WebSocket connection to GPT Realtime API.
Traditional STT → LLM → TTS pipeline for complex tasks.
Intelligence Engine
Native support for reasoning extraction from OpenAI o1/o3 and DeepSeek models, enabling complex problem solving before answering.
Dynamic model selection per-tenant. Route simple queries to Flash models and complex reasoning to SOTA models automatically.
Background workers monitor data sources (Calendar, Email) to push context-aware suggestions via WebSocket.
Enterprise RAG
- PostgreSQL + pgvector
- Hybrid Search (Keyword + Semantic)
- Multiple Vector Stores per Tenant
- Server-side File Extraction (PDF/DOCX)
- Encrypted Storage at Rest
- Namespace Scoping
Integrations
- Google Workspace: Gmail, Calendar, Drive (OAuth2)
- Web Search: Real-time information retrieval
- SQL Tools: Safe, read-only database querying
Platform Use Cases
For Individuals
A personal "Second Brain" that manages your calendar, drafts emails, remembers documents, and is available via voice while driving or walking.
For Enterprise
A secure, multi-tenant platform for deploying specialized agents to employees. Isolate data by department (Tenant) and project (Namespace).