I'm Salah Abdi — an engineer and founder working from the warehouse floor up. I build the software, hardware, and AI systems that make manufacturing, logistics, and hospitality operators measurably faster.
Each company is a node. Shared infrastructure, shared data, shared advantage. Every launch strengthens the next.
Every venture stands on the same four-layer stack. Improving a layer improves every product built on it.
Web, mobile, wearable, and voice interfaces tuned to the operator.
Orchestration, computer vision, LLMs, and workflow engines shared across ventures.
Auth, billing, APIs, analytics, and the data plane every product plugs into.
Edge compute, BLE mesh, cloud runtimes, and the physical devices on the floor.
Each venture solves a specific operational problem for a specific industry — sharing the same AI core, auth, and data plane underneath.
The core products I am building for the long term — deep systems for industrial operators.
The intelligent manufacturing operating system for plant operations.
Operational intelligence and wearables for the factory floor.
Wearable environmental awareness through intelligent haptic feedback.
Products already live or in active development, generating feedback and momentum today.
AI menus and QR ordering for the modern restaurant floor.
AI-powered career operating system for personalized career journeys.
Turn product photos into cinematic ad campaigns with AI video.
Sixteen AI engines that validate, build, and launch new businesses.
Wearable collision awareness between forklifts and pedestrians.
Businesses planned or in early stages — private explorations that will graduate when the timing fits.
Years running operations — pallets, pickers, forklifts, the actual mess of physical work.
Every venture starts with a problem I've watched cost people time, money, or safety.
Full-stack builds — React, React Native, TypeScript, PHP, SQL, Docker, cloud.
Computer vision, LLMs, edge AI, wearables, and the orchestration between them.
Design, prototype, iterate. Ventures designed for real operations, not just presentations.
Focused experiments where AI meets physical operations. Each one has a real problem, a real architecture, and a real status.
A simulated slice of the operational surface being designed — AI core, vision, wearables, and workflow engine.
Live feed from the shared AI core: requests, model calls, and system events across all ventures.
Every venture is built on the same conviction: AI should quietly do the work that keeps businesses running — measurable, reliable, and invisible when it needs to be.
Technology exists to remove friction from real businesses. No demos, no vaporware.
In practiceAdify started because independent creators needed a real ad-ops workflow — not another dashboard.
Every product should collapse hours of repetitive labor into seconds of oversight.
In practiceMejFlow captures machine events and operator knowledge automatically — no clipboards, no end-of-shift write-ups.
AI is a partner to operators, engineers, agents, and hosts — not a replacement.
In practiceForkAware warns the forklift operator in real time — the human still drives, the system just widens their awareness.
Reliability, usability, and unit economics are the only benchmarks that matter.
In practiceEvery venture reports the same metrics: uptime, latency, and dollars saved per operator hour.
From frontier models to embedded firmware — the tools behind every venture in the ecosystem.
Operations, safety, or workflow problem in manufacturing, logistics, or hospitality? Let's scope the system that solves it.
Full-stack AI engineer building production systems from firmware to interface. Portfolio, architecture, and ventures.
Industry project, hire, investment, or partnership — send a note and I'll get back with the right context.