◆ AI Platform
Bower
Multi-system AI platform that aggregates, classifies and searches your data — grounded by Knowledge Graphs.
Request a DemoProblem space
Organisations accumulate vast collections of documents, datasets, spatial files and structured records across decades — typically spread across disconnected storage systems, in mixed formats, with inconsistent metadata and no unified way to search or govern them. As AI tools mature, the opportunity to extract value from this data is significant, but most organisations lack the integration infrastructure to make that possible safely and reliably.
⚡ Mixed-format data at scale
Thousands of documents, spreadsheets, spatial files and images with no common structure or catalogue
🔍 No unified search
Staff can't find what they need across silos; natural-language querying across the full data estate can be ineffective without AI integration
🔗 AI without grounding produces unreliable answers
Large language model (LLM) responses relevance and accuracy varies greatly when there is no Knowledge Graph providing factual context about your specific domain
🔄 Lock-in risk
Proprietary AI platforms bind you to a single model provider, preventing adoption of better tools as they emerge
🔒 Data sovereignty concerns
Sending sensitive organisational data to external AI services creates privacy, sovereignty and compliance risks
Knowledge Graphs as the key to trustworthy AI
Knowledge Graphs are the secret behind the most reliable search and AI products. In the generative AI era, a domain Knowledge Graph provides the factual grounding that gives you confidence in the answers you receive — connecting AI outputs directly to your own authoritative data.
Why Bower
Built different
🔗 Knowledge Graph Grounded
AI answers grounded in factual, structured data — not hallucinations. See the specific words and phrases from source documents cited as evidence for every claim.
🔍 Structured + Unstructured
Search across PDFs, databases, emails, and spatial data — seamlessly integrated into a single Knowledge Graph with 360° visibility.
🔄 No Lock-In
Swap AI and ML models freely. Your data is the asset, not the vendor. Knowledge Graphs are inherently interoperable.
⚡ Sub-Second Vector Search
Phrase search across terabytes using best-of-breed RAG infrastructure and vector search algorithms.
🔒 Data Sovereignty
Your data stays in Australia (or your chosen region). Never used to train LLMs. Deploy on-premises or in your preferred cloud region. Compliant with Australian Government hosting requirements.
Architecture
Three components, one platform
Bower uses workflows to process documents, images, and data files with selected AI tools — preserving detailed provenance for traceability.
01 · Ingest & Transform
ETL Pipeline
Orchestrates data ingestion and AI processing, storing results and full provenance for traceability.
- Integrates with upstream AI services
- Customisable per deployment
- Structured and unstructured sources
02 · Knowledge Graph
Graph Store
Standards-compliant domain graph that curates high-value context for accurate, grounded AI responses.
- Catalogue + database in one
- Processing provenance tracking
- Reference data for AI guidance
03 · Search & Discovery
Interface Layer
AI-centric interfaces that run standalone or embed into your existing tools — desktop, web, or GIS.
- AI chat interface
- Spatial data visualisation
- Embeddable in existing platforms
In Action
From raw document to actionable insight
Bower ingests unstructured documents, extracts domain entities with full positional provenance, then fires rule-based processing to score, tag, and route findings automatically.
RC Drilling Report — Pilbara Craton, Western Australia
Hole RC22-047 was drilled to a final depth of 312 m at an azimuth of 270° / −60° from surface collar within the Marble Bar Greenstone Belt. Geology was logged against GSWA lithocode standards throughout.
Anomalous chalcopyrite and bornite mineralisation intersected within a strongly silicified shear zone at 187–204 m, hosted in felsic volcanics — consistent with a VMS-style structural setting.The mafic schist unit between 145–183 m shows pervasive foliation trending 340°/72°W, with minor pyrite stringers along cleavage planes. Samples submitted to Intertek Genalysis, Perth for Cu, Au, and Ag multi-element suite.
RULE sulphide_anomaly {
mineral IN ["chalcopyrite", "bornite", "pyrite"]
structure IN ["shear zone", "VMS-style"]
interval.metres > 10
} SCORE +0.8 → tag("Cu-sulphide anomaly")
+0.6 → tag("VMS host sequence")
+0.5 → route("assay_priority_queue")
Ingest & Extract
Raw documents — PDFs, field logs, reports — are ingested and domain entities are automatically identified with their exact position on each page.
Build the Graph
Extracted entities (minerals, locations, measurements, structures) are linked into a standards-compliant Knowledge Graph with full source provenance.
Fire Rules
Domain rules match against extracted entities — scoring, tagging, and routing findings. Think fraud detection, anomaly flagging, compliance checks.
Trace Every Claim
Every result links back to the exact words on the exact page of the source document. Full evidence chain — no black boxes.
Bower in the Resources Sector
In 2024–2025, we deployed Bower for a large international mining company — processing their entire document and spatial data library into a searchable, AI-powered Knowledge Graph.