NOLA Intel is a live, self-maintaining public-safety intelligence platform — proven on the streets of New Orleans, engineered to deploy in any city on earth.
Every police department and emergency-operations center sits on an enormous volume of data — and almost none of it reaches the commander in time to matter.
Each is valuable alone. Together they close the loop from raw event to command decision — all on one continuously refreshed data foundation.
CHAD is the platform's natural-language analyst, wired into 39 databases. Command staff interrogate the entire intelligence corpus in plain English and get a synthesized, sourced answer in seconds — local and federal data pulled together without anyone knowing where each fact lived.
Scheduled operational and executive briefings generate and deliver themselves — no analyst assembly required. Each is written in clear command language and tailored to its audience, featuring a Chief's 30-second summary, per-district status, and response-time tracking. What once took hours of analyst time each morning now arrives finished, on time, every day.
Beyond scheduled briefs, NOLA Intel continuously surfaces notable shifts, emerging patterns, and anomalies as new data arrives. It flags what is unusual and explains why it matters — turning a flood of raw events into a short list of things leadership should actually look at. This is the difference between data and intelligence.
An interactive mapping environment built for comparison. Side-by-side and swipe-style maps fed by live computer-aided-dispatch data let command staff compare any two periods, areas, or call categories — this week vs last, this district vs the city, this event weekend vs the seasonal norm. Because it's driven by live feeds, the picture reflects what's happening now.
A single real-time view of operational posture: demand by district, response-time performance, and the day's key indicators at a glance. Built for the chief's office and the EOC — the one screen that tells a commander, at any moment, where the city stands and where attention is needed.
Underpinning everything is a self-maintaining forecasting engine. It blends dozens of signal families — day-of-week and seasonal patterns, weather, special events, trend momentum, category behavior — into forward-looking call-for-service forecasts by district and day. It refreshes inputs hourly, retunes its own weighting, and runs self-diagnostics that detect drift and prescribe retraining — work that normally demands a standing data-science team.
Crime is only half the picture. NOLA Intel fuses live weather, river, power, drainage, transit, road-closure, and hospital-capacity feeds into a single situational-awareness wall for the emergency-operations center — the one screen that shows the whole city's posture, across every hazard, at a glance.
Live walkthrough available on request
A median response time is a number leadership can hide behind. NOLA Intel goes further: it automatically flags the individual priority calls that fell short — turning response performance from a monthly statistic into daily, address-level accountability.
Code 2 calls where more than 10 minutes elapsed from dispatch to officer on-scene. Most recent first.
| Date | Code | Dispatch → On-Scene | Min | Incident |
|---|---|---|---|---|
| Mar 04 | 2A | 23:08 → 23:31 | 22.7 | PROWLER REPORT 1400 BLK Sycamore Ave |
| Mar 04 | 2B | 18:52 → 19:11 | 18.3 | DISTURBANCE (OTHER) 600 BLK Magnolia St |
| Mar 04 | 2C | 11:05 → 11:21 | 16.0 | BURGLAR ALARM, SILENT 2200 BLK Heron Dr |
The architecture separates the intelligence products — CHAD, briefs, insights, maps, dashboard, forecasting — from the data feeds beneath them. A new jurisdiction connects its standard dispatch and records systems, and the same proven products light up on its data.
The integration layer normalizes disparate local, state, and federal feeds into a common model — which is precisely what makes the platform portable. A new city supplies its own equivalents, and the same intelligence lights up on top.
The hard work of designing, integrating, and field-proving a municipal intelligence stack — across years of operational data — is already done. A new agency starts from a working platform — and the same qualities that keep it running in New Orleans carry into any jurisdiction.
A proven system, not a research project — running in production today and ready to deploy now.
One validated deployment becomes a template any agency can stand up on its own data.
Connects to the dispatch and records systems an agency already runs — no rip-and-replace.
Designed for U.S. municipal, county, state and federal agencies — and international public safety.
Self-tuning, self-diagnosing, automated hourly ingest — no standing data-science team required.
Plain-language intelligence the chief's office and EOC can act on in the moment.
A proprietary algorithm stack and accumulated, real-world tuning that only time in the field produces.
A measurable public good: faster, data-driven decisions that help make cities safer.
We welcome a focused written discussion of fit, scope, and terms — and can provide a guided walkthrough of the live system. Send a note and we'll arrange a briefing.