Case studies

Proof, in the field

Real pilots and engagements where Epsilon AI turned data into outcomes across construction, industry, and supply chain.

ConstructINS pilot

RME & EgySmart

Live pilot

Challenge: Two leading contractors needed earlier visibility into delay risk, cost variance, and site safety — across data scattered between ERP, schedules, and the field.
Solution: ConstructINS was deployed as an intelligence layer above existing systems, adding predictive scheduling, AI cost forecasting, and computer-vision safety overlays.
Outcome: Validated in a live pilot with Rowad Modern Engineering (RME) and EgySmart, giving executives earlier, data-backed foresight on schedule and cost.

Corporate AI training

15 hrs · 3 days · 15–20 trainees

Challenge: ESCC wanted its teams to adopt modern AI tools productively and safely in day-to-day work, in both Arabic and English.
Solution: Epsilon delivered a hands-on 'AI Tools Training' — 15 hours over 3 days, in-person, bilingual — covering ChatGPT, Claude, Gemini, Perplexity, NotebookLM, and Zapier.
Outcome: 15–20 trainees upskilled in applied AI; ESCC publicly thanked the Epsilon trainers on LinkedIn.

Supply chain & predictive maintenance

Bespoke AI solution decks

Challenge: MB Group explored where AI could most improve supply-chain operations and asset reliability across its logistics and industrial activities.
Solution: Epsilon developed bespoke AI solution decks — SupplyCha.INS for supply-chain intelligence, ManufactINS-style predictive maintenance, and an offline 'Epsilon Bot' assistant.
Outcome: Tailored AI roadmaps presented to MB Group, mapping high-value use cases from supply chain to plant-floor maintenance.

Selected pilots and engagements from across our products and corporate training.