Same product, two deployments. Same FastAPI backend, same Next.js UI, same 10-tool agent loop. The only swaps are: where the LLM runs, where the data lives, and how often you talk to idbquery.com.
Where customer data lives
Database credentials transit Intrazero
Data sent to a managed AI service
Verifiable with packet sniffer
FedRAMP / HIPAA / classified networks
AI engine
Embeddings
Multimodal (image / audio / video)
Tool calling
Throughput
Internet required
First-launch experience
Offline grace period
Air-gap deployment
Auto-update
Local file sources (Excel, CSV, SQLite, DuckDB)
LAN database sources
Cloud warehouse sources (Snowflake, BigQuery, Redshift)
ERP connectors (Maconomy, Procore, Aconex)
BIM connectors (Autodesk APS, Speckle)
Embedded 3D viewer in chat
AI-driven 3D highlight / isolate / color
Click-to-explain in 3D viewer
Speckle live re-sync (webhooks)
Folder ingest (PDF, DOCX, TXT)
Report builder + PDF export
Embedded 3D viewer report widget
Workspace sharing & RBAC
Login
Admin entitlement
Device limit
Instant revoke
Audit log
Hardware needed
Disk footprint
Pricing
A short, opinionated guide. If you can't pick after this, talk to us — we'd rather you pick the right thing than the wrong thing.
Tell us about your environment and we'll help you pick the right deployment.
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