Every project in this list is in production. Real clients, real workflows, real outcomes. We do not show concepts, prototypes, or slide decks here.
A US-based freight operator was handling thousands of daily exceptions manually. We built an autonomous dispatch agent that detects, classifies, and resolves exceptions without human intervention.
Read case studyA fintech lender needed to scale underwriting without scaling headcount. We built a multi-model risk assessment pipeline with human-in-the-loop escalation for edge cases.
Manual document review was creating compliance risk and slowing patient intake. We built an OCR and entity extraction pipeline that classifies, validates, and routes clinical documents automatically.
A Series B SaaS company needed to triple engineering output without tripling burn. We stood up a 12-person embedded engineering pod in 3 weeks, operating in US timezone with weekly ship cadence.
Disconnected inventory data across 4 systems was causing stockouts and overstock simultaneously. We built a unified data lakehouse with real-time demand forecasting and automated replenishment triggers.
A legacy on-premise system was blocking AI adoption across the organization. We migrated the full stack to AWS with Kubernetes orchestration and CI/CD pipelines, with zero downtime across 6 months.
Regardless of sector or complexity, every MetaSys engagement runs on the same four-phase model. It is why our outcomes are consistent.
Map your problem to a system architecture. Walk away with a clear engagement scope and a named engineer assigned.
We spec the system: agent topology, data flows, integration points, and evaluation framework. Fixed-price document.
Weekly deploys. Engineers embedded in your tools and standups. Working agent in production by sprint two.
Post-launch monitoring, retraining cycles, and capability expansion. We do not hand off and disappear.
Map your problem to a system architecture. Walk away with a clear engagement scope and a named engineer assigned.
We spec the system: agent topology, data flows, integration points, and evaluation framework. Fixed-price document.
Weekly deploys. Engineers embedded in your tools and standups. Working agent in production by sprint two.
Post-launch monitoring, retraining cycles, and capability expansion. We do not hand off and disappear.
Every case study above was built using one or more of our five core capability pillars.
MetaSys delivered exactly what we needed. Fast, clean, and professional. Their AI automation work saved us significant operational overhead and the team was responsive throughout.
James R., Operations Director, Logistics Company, USA
The offshore team integration was seamless. MetaSys engineers worked in our timezone and matched our quality standards from day one. Genuinely felt like an extension of our own team.
Aisha M., CTO, FinTech Startup, UAE
From strategy to execution, MetaSys understood our business deeply. The agentic AI system they built runs our dispatch operations autonomously. ROI was visible within weeks.
Michael T., VP Operations, Transportation Company, USA
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