Everything we publish.
Field notes from live deployments, customer stories, and technical papers. Written by the people who build and run the platform.
Architecture reference and deployment documentation available on request.
The Innfini Architecture
The reference architecture white paper covering all 8 zones, 38+ native services, sovereign-grade compliance posture and the agentic-AI runtime end-to-end.
Field Notes blog
12 insights · written by ops and engineeringAirport Back-of-House Operations: Capacity From Connection
Airport capacity comes from connection, not more equipment. Enterprise Operational Intelligence via Innfini turns back-of-house signals into owned work.
Read post →Platform vs Point Tools: Why Dashboards Don't Close the Loop
Point tools show data; ops need action. Enterprise Operational Intelligence via Innfini connects sensors, systems and people so alerts become owned work.
Read post →Digital Twin for Operations: From Live View to Owned Work
A digital twin for operations is a live view of sites, assets and teams. Enterprise Operational Intelligence via Innfini turns that view into owned work.
Read post →Warehouse Inventory Exceptions as Owned, Automated Work
Enterprise Operational Intelligence via Innfini turns warehouse inventory and location signals into owned workflow steps, approvals and handoffs.
Read post →Where Is the Pump? Hospital Asset and Staff Visibility
Enterprise Operational Intelligence via Innfini helps hospital operations teams turn equipment, room and staff signals into owned, governed work.
Read post →Physical Intelligence vs Operational Intelligence
Physical item visibility fuels AI — ops still need governed action across people, assets, locations, and processes. EOI via Innfini puts sensor truth to work.
Read post →Agentic AI in production: the policy layer that keeps it honest
Why pure-LLM agents fail in operations, and how typed policy + audit-grade approvals let agents act safely at scale.
Read post →Camera + RFID fusion: hitting 99.2% match on a live yard
The fusion architecture that takes RFID reads and vision detections and gets one truth per pallet, every time.
Read post →Sub-100ms inference on commodity x86 + ARM gateways
Walkthrough of the edge runtime's quantized vision pipeline · benchmarked across 240 deployed sites.
Read post →Air-gapped Innfini: shipping a full platform via signed bundle
How we deliver, validate, and update a sovereign-grade deployment with zero outbound dependencies.
Read post →Civic AI governance: equity dashboards, decision registers, NIST RMF
What it means to operate AI for a city under public-facing transparency · in collaboration with the GovAI Coalition.
Read post →Abu Dhabi Ports: from 7 dashboards to one canvas
Field notes from the first 90 days of deploying Innfini's operating layer across terminals, yards and field assets.
Read post →Case studies
7 deployments written up · more on requestAbu Dhabi Ports — operations layer across terminals
Live IoT operations layer running across multiple terminals, yards and field assets — production deployment.
Read case →Dubai Police — agentic incident correlation
Time to correlate incident down 63% · operator span 2.4× · full audit trail.
Read case →Abu Dhabi Civil Defense — multi-agency response
911 calls, CAD events, GIS, RMS, field responders and cameras unified into one command view.
Read case →Dubai Municipality — civic operations
311 → CAD bridge, equity dashboards, multi-language services, asset digital twins across the city.
Read case →Saudi Ministry of Interior — sovereign command
Sovereign air-gapped command with multi-agency coalition workflows and JADC2-aligned ISR fusion.
Read case →Allied Naval Coalition — ISR fusion at sea
Multi-source intel correlated across coalition partners with role-based scopes and audit trail.
Read case →Ecovyst — predictive maintenance and OEE
−47% unplanned downtime across production plants · 87% live OEE on retrofitted lines.
Read case →White papers
Architecture · policy · AI maturityThe Innfini Architecture · v2.1
The complete reference architecture — 8 zones, 38+ native services, integration patterns, deployment models.
Read paper →Agentic AI policy: bounds, approvals and audit
How to constrain agent action with typed policy, multi-tier approvals and continuous audit — by design.
Read paper →Securing the sensor fabric end-to-end
Identity, encryption, attestation, mTLS and tamper detection across the full sensor-to-cloud chain.
Read paper →Operational AI maturity model · level 1 → 5
A maturity framework operators can use to benchmark themselves and plan a 12-month adoption roadmap.
Read paper →Need the architecture reference or deployment documentation?
Both are available to prospective customers on request, under NDA where the deployment requires it.