TECHNICAL OVERVIEW
PLATFORM TECHNOLOGY
The stack behind Aurora AI
A modern, open architecture that gives your developers full control — and your enterprise the security and scale it requires.
01
React Frontend
Component-based architecture lets your team build reusable, responsive, enterprise-grade interfaces — using the same tools your developers already know.
02
GraphQL API
A self-documenting API that exposes data endpoints for every content type. Access exactly the data you need — enabling fast, flexible front-end development.
03
Aurora SDK
A full developer toolkit for building custom community experiences. Includes the Aurora CLI, SDK libraries, and pre-built components to accelerate development.
04
Visual Designer
A no-code design tool for community managers and marketers. Drag-and-drop components, preview in real time, and ship updates without waiting on engineering.
05
Security & Scale
SOC 2 Type II certified. ISO 27001 compliant. Data isolation, encryption at rest and in transit, role-based access controls, and infrastructure built for millions of concurrent users.
06
AI DNA
AI isn’t a bolt-on — it’s woven into the platform architecture. Every AI agent runs through the same governance, observability, and trust layers as the rest of the system.
This foundation is what makes Aurora AI different.
AI isn’t a feature layer added on top — it’s built into the core architecture, learning from your community’s own knowledge.
COMMUNITY LANGUAGE MODEL
The Community Language Model
The CLM is the knowledge layer that powers every Aurora AI agent. Trained on your platform’s data with granular access controls, it ensures AI responses are grounded in validated, community-sourced knowledge.
1
Ingest
Pulls content from communities, knowledge bases, documentation, tickets, and transcripts. Structured extraction preserves context and metadata.
2
Retrieve
Hybrid search combines semantic vector matching for contextual relevance with keyword search for precision. Authority-weighted ranking prioritizes verified sources.
3
Discover
Surfaces connections across content that manual review would miss — identifying patterns, gaps, and contradictions across your knowledge ecosystem.
4
Score
Multi-signal trust scoring evaluates recency, accepted solutions, cross-source agreement, and engagement quality to weight every piece of evidence.
5
Learn
Continuous feedback loops from community interactions, moderator actions, and resolution data refine retrieval quality and trust signals over time.
Model & Provider Agnostic
Swap foundation models without rearchitecting your deployment. Aurora AI supports multiple LLM providers, so you’re never locked into a single vendor’s roadmap or pricing.
Bring Your Own Key (BYOK)
Extend Aurora AI with custom AI operations. Define your own agent behaviors, integrate proprietary models, and plug into your existing ML infrastructure.
Grounded, Auditable & Observable
Every AI action is logged, traceable, and explainable. Full observability lets you monitor accuracy, audit decisions, and satisfy compliance requirements.
AI AGENTS
Specialized agents, each with one job
Purpose-built agents — not one general model trying to do everything. Specialization ensures accuracy, trustworthiness, and control.
LIVE IN AURORA AI TODAY
ANSWER ASSIST
Answer Assist
Automatically answers customer questions using validated community knowledge. Cites sources, respects confidence thresholds, and escalates to human agents when certainty is insufficient.
AI MODERATION
AI Moderation
Real-time content moderation that understands context, not just keywords. Flags policy violations, spam, and toxic content while preserving legitimate discussion.
COMMUNITY COLLABORATION
Orchestrator
Helps community managers surface trending topics, identify knowledge gaps, recommend content improvements, and connect members with relevant expertise.
INFRASTRUCTURE
Connects to your entire stack
Aurora AI integrates with your existing infrastructure through a fully open GraphQL API — making it straightforward to connect your tools and data without replacing what already works.
CRM
CRM
Salesforce (native integration), HubSpot, Microsoft Dynamics, and other CRM platforms. Bi-directional data sync keeps community insights flowing into your customer records.
SUPPORT
Support Platforms
ServiceNow, Zendesk, Freshdesk, and more. Route cases, sync knowledge, and unify the support experience across every channel.
ANALYTICS
Analytics
Google Analytics, Amplitude, Mixpanel. Stream community engagement data into your existing analytics stack for unified reporting.
MARTECH
Martech & CMS
WordPress, Marketo, HubSpot Marketing, and more. Connect your content management, marketing automation, and personalization tools.
Built on GraphQL throughout: Aurora AI’s self-documenting API gives your developers the flexibility to integrate anything and iterate fast — without relying on a vendor connector roadmap.
GOVERNANCE, SAFETY & COMPLIANCE
Enterprise controls across every layer
Aurora AI applies rigorous enterprise controls across both the platform and all AI operations — so your team stays in control at every step.
AI Controls
- Tunable confidence thresholds for every AI agent.
- Configurable guardrails that prevent off-topic or low-quality responses.
- Role-based permissions govern which teams can deploy, modify, or override AI behavior.
- Full audit trail for every AI action, decision, and escalation.
Security & Compliance
- SOC 2 Type II and SOX-ITRA certified.
- End-to-end encryption at rest and in transit.
- Role-based access controls with SSO integration.
- Enterprise-grade infrastructure monitoring, incident response protocols, and data residency options for regulated industries.
See the architecture in action
Our solutions engineers will build a transparent integration architecture for your specific stack.