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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.