# STLabs

> AI-native service management platform. Turns historical ticket data, knowledge bases, and integrations into instant resolutions, automated workflows, and a living graph of your organization.

## What STLabs Does

STLabs is an AI-first service management platform built on a living graph. It ingests data from existing ticketing systems, knowledge bases, identity providers, device management tools, and enterprise applications — then uses that data to power AI agents, workflow automation, and deep operational intelligence.

Core capabilities:
- Smart Ticket Enrichment: Auto-classifies, prioritizes, and attaches resolution context to every incoming ticket in real time
- Intelligent Workflows: AI clustering of historical and incoming tickets to surface patterns, auto-generate self-healing workflows, and resolve at scale
- AI Agents: End users solve known problems instantly through AI-powered self-service
- Digital Twin: A self-maintaining context graph that maps real-time relationships between people, applications, infrastructure, and processes — queryable in natural language

## Key Differentiators

- AI-native architecture, not AI bolted onto a legacy ticket database
- Digital Twin replaces traditional CMDB — a context graph with zero manual data entry, self-maintaining, integration-fed
- All data stored as timestamped assertions with provenance
- Self-healing integrations that adapt when upstream APIs change
- Modular: use end-to-end or plug individual capabilities into existing tooling
- SOC 2 Type II in progress, human-in-the-loop, policy guardrails

## Getting Started

STLabs is modular. Start with historical ticket data (no org-wide access required), then expand to live enrichment, workflow automation, and the full Digital Twin.

## Links

- [Product Details](https://stlabs.com/product)
- [Pricing](https://stlabs.com/pricing)
- [Blog](https://stlabs.com/blog)
- [Engineering Blog](https://stlabs.com/engineering)
- [Full Documentation](https://stlabs.com/llms-full.txt)