Forward Deployment Engineering is how Meramia delivers: our engineers work inside your team, on your platform, from diagnostic to hand-over. Ten productised offers sit underneath it, from a readiness diagnostic to fine-tuned models, mobile AI and managed AI in production. Get in touch for a direct assessment call.
Meramia engineers work inside the client team, on the client platform, from diagnostic to hand-over. Your people keep working in the systems they already use, and the intelligence arrives inside them.
Names the sponsor, the number, and the decision rights the engagement runs under.
Client operators bring domain knowledge and sign-off. Meramia engineers bring architecture, build and hand-over.
Cloud or on-premise, in region. No parallel environment, and no new tool for your team to learn.
Days sales outstanding · claim cycle time · cost to serve · open compliance findings.
Documents, systems of record and operating processes are mapped into a single governed graph. Every answer, agent and report traces to its source.
Contracts, invoices, correspondence and scans — Arabic and English.
ERP, CRM, core databases and the warehouse, read through governed connectors.
Workflows, approvals, controls and SOPs, captured from systems and from operators.
Entities and the relationships between them, across all three sources.
Questions answered with the source record attached to the answer.
Actions taken inside the tools your people already use, under approval.
Management views built on the same graph, so the numbers reconcile.
A scored view of where AI can pay off, and what's in the way. Data inventory, use-case backlog, PDPL gaps, 90-day roadmap.
High-ROI where GenAI already works: content engines, service copilots, conversational analytics. Scoped, built, handed over.
Production agents that take real actions across your tools — with guardrails, observability and human-in-the-loop.
Policy, risk and PDPL alignment to the UAE AI Charter — so you can ship AI without slowing legal down.
Frontier and open models tuned on your data, eval-gated before they ship, self-hosted where the economics win.
Entities, relationships and the ontology that holds them steady — built from your documents, your systems of record and the processes your people actually follow.
Retrieval matches text that looks similar. A graph follows named relationships between real records, so every answer carries the path it took. Check the path, then let the agent act.
Senior technology leadership without a full-time hire: architecture, hiring, roadmap and delivery — and the managed retainer that keeps production AI running.
Ingestion, quality controls and permissioned access — the engineering that keeps the graph and every model fed with current data.
AI-native iOS and Android: field capture syncs to the graph; intelligence feeds back. Offline-first, PDPL-aligned.
Practical enablement for leadership and teams — prompting, safe usage, workflow redesign.
Inside offer 03 · Agentic AI & Copilots
Pipelines, knowledge graphs and governed retrieval — the substrate that makes agents and copilots reliable on your data.
Task and workflow agents with memory and orchestration that hold up in production — real actions across your tools.
Safety, evaluation, human approval gates, and PDPL / UAE AI Charter controls built into the work, not bolted on at the end.
Trace every action, cost and outcome. The absorption layer: monitored production, then fractional CTO and managed retainers.
It begins with a thirty-minute call. Most clients then start with the Assessment, which kills the projects that would not have worked and scores the ones that will.