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Validated · Qatar Foundation

The intelligence layer for national food security.

See every route, every shock, every option — before it matters. Three engines. Environmental footprint. Transit speed. Cost and waste.

QOOTNACORERotterdamNLDOdessaUKRMundraINDKarachiPAKSingaporeSGPShanghaiCHNSantosBRACairoEGYCape TownZAFHamad PortQAT
live computation
init · loading climate baseline for Gulf basin
env · scope-3 reconciliation across 12 lanes
init · loading 30-day vessel history for Hamad Port
$1.2T
Lost annually to food supply-chain inefficiency (FAO)
0+
Data sources orchestrated
MENA
Native, by design
Live
Validated in production
  • Qatar Foundation
  • HBKU
  • Maersk
  • DHL
  • Emirates SkyCargo
  • Hamad Port
  • Lulu
  • Agrico
  • Carrefour
  • Al Baladi
  • Qatar Foundation
  • HBKU
  • Maersk
  • DHL
  • Emirates SkyCargo
  • Hamad Port
  • Lulu
  • Agrico
  • Carrefour
  • Al Baladi

The three engines

Three engines. One answer.

Each query runs all three in parallel. Outputs are typed, versioned, and traceable to inputs.

How they work
01 · Engine

Environmental.

CO₂, water, waste — Scope-3, built in.

Every route scored on modality coefficients × distance × product factors, with weather-adjusted modifiers. Defensible enough for annual disclosure.

  • co2KgPerMt412
  • waterM3PerMt0.9
  • wasteFactor0.04
  • scope3Coverage98%
02 · Engine

Speed.

Median + P90 + risk decomposition.

Live transit intelligence. Toggle a Red Sea closure or a Hormuz incident; compare against current routing in seconds.

  • medianDays8.2
  • p90Days9.4
  • crisisDelta+1.6d
  • riskFactors5
03 · Engine

Cost & Waste.

Where shipping cost meets perishability.

Base cost × fuel adjustment × spoilage rate × waste factor. The number you actually plan against, not a generic per-MT estimate.

  • baseCostUsdPerMt381
  • fuelAdjustment+3.4%
  • spoilageRiskPct0.4
  • totalLandedCost$427

The answer, not just data

A planning surface, not a dashboard.

Qootna doesn't hand you a CSV and call it insight. Every analysis returns a short narrative, a route map, and the exact engine outputs behind the recommendation — traceable, exportable, defensible.

  • Three engines run per query, in parallel.
  • Narrative cached on the analysis record.
  • Every number ties back to its source row.
See the architecture
analysis · live
QTN-2042
PAK → QATRice (long grain) · SEA

Karachi to Hamad Port via Gulf of Oman: 8.2 days median transit, 2.1× CO₂ vs. regional sourcing, $47/MT delta under current fuel pricing.

ENV
412 kg/MT
CO₂ equivalent
SPEED
8.2 days
Median · P90 9.4
COST
$427/MT
Total landed
Routing through 47 AIS waypoints…
Weather modifier: +0.6% · monsoon residual
Spoilage risk: 0.4% · ambient hold

Validated in production with Qatar Foundation. Developed within the HBKU ecosystem. Commercial licensing in place.

Qatar FoundationHBKU
Qootna · analyst chatAI engine
Should we reroute Karachi grain via Salalah this quarter?
Qootna

Salalah adds +1.6 days median transit but cuts CO₂ by 8.4% and reduces Hormuz exposure to none. Cost delta is negligible at current bunker fuel prices. Recommended for Q3 if the geopolitical risk floor matters more than speed.

Ask another question…

Ask in your words

Natural-language entry, structured answer.

Type the question your principal would ask. Qootna parses it into a structured query, runs the three engines, and replies in the same voice you used — with the numbers attached.

  • AI engine under the hood — provider-swappable.
  • Prompts loaded from versioned templates, not code.
  • Wizard mode for analysts who prefer fields.

Why now

The perfect storm creates our moment.

Geopolitical

Red Sea attacks. Black Sea closures. Trade corridors don't hold.

Regulatory

Scope-3 reporting stopped being optional.

Climate

Crop failures and weather shocks are the new baseline.

Qootna addresses all three — today.

Ready when you are

See it on your own routes.

Invite-only access. We reply within one business day.