Accelerators
›Purpose-built LLM systems, multi-agent reasoning workflows, and domain-adapted models.
Universal semantic metric layers, natural language querying, and executive intelligence.
Mathematical constraint solvers (MILP, CP-SAT) for scheduling, allocation, and routing.
Pragmatic ERP modernisation, event-driven API mesh, and custom operational applications.
Industry Trends in AI & Analytics
Practical benchmarks on what actually works when moving AI from pilot to production.
CASE STUDIES
Jowers Vargas — AI Recruitment Intelligence
AI-Powered
Natural-language candidate search and semantic ranking
DFM Foods (Crax) — Predictive SKU Recommendation & Boardroom Analytics
15%
Increase in distributor SKU penetration
DFM Foods (Crax) — Unified Reporting & Executive Command Centre
60%
Reduction in manual reporting effort
MacroFab — Real-Time Order Routing Across a 100+ Factory Network
21%
Increase in network-wide factory utilisation
ShipSigma — Automated Parcel Rate Intelligence & Route Optimisation
25%
Average shipping cost reduction delivered to client accounts
Lummid Containers — AI-Powered Container Marketplace
71%
Reduction in average time from search to completed purchase
Noon — "Guan Yu" AI Customer Support Agent
38%
Support ticket deflection rate achieved
Levi & Korsinsky — AI-Powered Securities Litigation Research
55%
Reduction in precedent research time
Apraava Energy — Unified Coal Invoicing, Pricing & ETL Dashboard
72%
Reduction in invoice processing / reconciliation time
