Vega Data built Kelmet Masr in collaboration with Egypt's Ministry of Foreign Affairs. It turns 5,620 published proposals, about 1.8 million words written by 3,535 citizens, into an analysis that the ministry, the Prime Minister's office and any citizen can search and read.
5,620published proposals read in full, with no sampling
Trade-surveillance analytics, a market replay engine and automated checks of disclosures against financial statements, built for capital-markets supervisors in Egypt and the GCC.
3market-abuse patterns detected: front-running, pump-and-dump, marking the close
For a national road-safety authority in the GCC, we joined crash, ambulance, hospital, damage-cost, traffic-sensor, weather and demographic data into one platform, with locally calibrated crash-prediction models and bilingual decision dashboards. Delivered continuously from 2020 to 2023.
7government and operational data feeds joined in one warehouse
Geospatial analysis and deep-learning risk models that place every crash on a national road network, score risk for every segment, and rank 460 priority hotspots on 142 roads, each with candidate countermeasures.
460priority hotspots identified on 142 national roads
How Fattuta, Vega Data's price-intelligence product, resolves about 465,000 store listings into 343,000 comparable products across Egypt, Saudi Arabia and the UAE, refreshed every night.
41retailers in three countries, refreshed every night
A pay-as-you-save data and AI programme for an Egyptian beauty brand with EGP 109M in annual revenue: a full leakage audit, an AI agent that reconciles storefront, ERP and courier data every day, and EGP 15.9M a year in savings the finance team can check line by line.
EGP 15.9Msaved a year, 14.6% of the brand's EGP 109M revenue
MedKlaus is Vega Data's voice-AI product for private clinics in Egypt. It answers missed calls in Egyptian Arabic, books appointments and hands over to staff, with latency and cost measured on every call.
1.1 smedian from the caller falling silent to the first word of the reply
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Tell us the decision you need to make.
Describe the decision, the data you hold and your timeline. A senior engineer reads every message.