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Pebble AI

Safe, Secure & Observable AI for your organisation

Pebble — Sovereign Enterprise AI Platform

Australian-built AI for government abd regulated industries.

Pebble is a secure, agentic AI platform purpose-built for Australian public sector and regulated industries use. All data, models, and processing remain onshore in AWS, meeting sovereignty, IRAP-aligned, and Essential Eight expectations out of the box.

What it does

PebbleChat gives staff a governed conversational AI workspace with:

  • Multi-model access via PebbleRouter — choose Anthropic, AWS Bedrock, Azure OpenAI, or sovereign models behind a single policy layer with full audit logging, BYOK, and per-team cost controls.
  • Agent Teams — hierarchical AI agents with approval chains, outcome contracts, and human-in-the-loop checkpoints for high-assurance workflows.
  • Canvas workspaces — collaborative document editing (DOCX-native), data analysis, diagrams, presentations, code, and geospatial visualisation, all co-edited with AI agents in real time.
  • Pebble Sentinel — agentic SOC and cyber assistant normalising signals across Splunk, Sentinel, Wazuh, and Elastic, with FAIR-based cyber risk quantification.
  • Microsoft 365 integration — secure, scoped access to Outlook, Teams, SharePoint, and OneDrive via Microsoft Graph and MCP.
  • Voice and mobile — natural voice interaction (LiveKit + AWS Transcribe/Polly) and a native iOS/Android app.

Built for Government & Regulated Industry

  • Australian data residency, no offshore egress
  • SSO, SCIM, JIT provisioning, granular RBAC
  • Per-workspace memory isolation and tiered Mem0 architecture
  • Comprehensive audit trail via OpenTelemetry/SigNoz
  • MCP-first extensibility — connect agency systems without custom integrations
  • Region-aware compliance controls for cross-jurisdiction work

Proven at scale

Deployed and trusted by federal agencies for sensitive, high-availability AI workloads.

Why Pebble

Unlike US-hosted SaaS AI tools, Pebble is sovereign by design — no data crosses borders, no shared multi-tenant model training, and every action is governed, logged, and explainable.