Tawaqqu · Pitch Deck
Smart City
Tawaqquتوقّع
15-minute-horizon forecasts for transit load, signal optimisation, and event surge.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Signal timing reacts to congestion that's already happened
- Traffic signal timing adjusts to congestion already visible on the street, after commutes are already backed up, not before.
- Event-driven surges — stadium events, festivals, holidays — blow through signal-timing plans built for a typical day.
- Planners have no forward look on transit and traffic load, so decisions get made from historical averages or on-the-ground judgment rather than a live forecast.
- Operators have no way to check whether a forecasting or signal-timing tool is actually improving outcomes, since accuracy is never tracked against what happened.
Solution
A 15-minute lead time on congestion, tracked openly for accuracy
Product
Tawaqqu in action
How it works
From first touch to outcome
Ingest
Live transit, traffic, and event data feed the forecasting engine continuously.
Forecast
Load predictions update on a 15-minute rolling horizon.
Optimize
Signal timing recommendations adjust ahead of predicted congestion.
Review
Forecast accuracy and outcomes are tracked to keep improving the model.
Market
Sizing the opportunity
- TAM — $1.1B. MENA transit & traffic forecasting/analytics market
- SAM — $120M. Saudi signal-optimization & mobility-forecasting market
- SOM — $9M. 3-year obtainable share via design-partner municipalities and transit authorities
Vision 2030's mobility targets and a growing calendar of giga-events, Hajj and Umrah peaks, and seasonal festivals increase the frequency of surge demand that static signal-timing plans weren't built to handle.
Business model
How Tawaqqu makes money
Per-intersection / per-corridor forecasting subscription
Recurring fee priced by the number of intersections or corridors under active forecasting.
Per-agency platform license
Tiered by network size, covering the forecasting dashboard and signal-timing recommendations citywide.
Implementation & calibration fee
One-time fee for traffic, transit, and event-data integration and site-specific model calibration.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- 15-minute rolling forecast built for actual operator lead time, not a daily or hourly aggregate report.
- Event-aware modeling tuned to the Kingdom's own event calendar — Hajj, Umrah, Riyadh Season, giga-project openings — not adapted from a market without that surge profile.
- Sovereign, PDPL-aligned data residency — mobility data and forecasts stay hosted in-Kingdom.
- Founding team combines Saudi transportation-operations experience with applied-forecasting engineering.
Traction
Early validation, built for pilot readiness
- Full forecasting product experience designed and built end-to-end: dashboard, 15-minute rolling forecast, signal-timing recommendations, accuracy tracking.
- Architecture pre-aligned to Vision 2030 alignment, PDPL, and ISO 27001.
- Actively selecting design-partner municipalities for a first pilot cohort.
Go-to-market
Land on one corridor, expand to citywide signal coverage
- 1Land with 1-2 design-partner municipalities or transit authorities, starting on a defined corridor or district.
- 2Prove forecast accuracy and congestion-reduction gains over a pilot quarter, then expand to citywide signal coverage.
- 3Expand via MOMRAH and transit-authority relationships to additional corridors and cities.
Team
Built by operators, not just builders
The ask
Raising a seed round to reach first municipal pilots
We're raising to fund forecasting-model hardening for transit and signal use cases, event-calendar data integration, and the core team through first-revenue pilot deployments.