Aly9 and AuraOS at Planets IX.
A Dubai venture had a proprietary way of reading organisational structure, but the method lived with one analyst. The task was to encode that judgement for a reader.
AURA LOGIC LABS delivered Aly9 Ecosystem for diagnostic analysis and a customised AuraOS deployment for the founder's operation. The two systems share context and keep separate jobs.
Aly9 keeps relationships and semantic evidence in different stores
Aly9 combines a protected private dataset with a research toolchain to produce diagnostic reports, weekly and monthly reporting, and improvement conversations.
Neo4j stores relationships among entities, separately from Pinecone's meaning-based retrieval, on a knowledge base with a recorded provenance boundary.
AuraOS supports the founder's operating work
The AuraOS deployment brings projects and tasks into a shared work view, so the operator can review status and the items needing attention.
Explore AuraOS for the product workflow and deployment options.
Reports and conversations build on the same history
Each report needed the earlier history, not a one-off read. The delivered system carries that context forward with a licensed dataset, recorded provenance and reports that stay diagnostic rather than predictive.
Delivery record and reported outcome
The client reports over 50% efficiency gain against the prior spreadsheet workflow, with sales moving from 10 to 50 per month.
Bring the method or work that needs to persist.
Share the judgement process, its sources and the routine it needs to support.