Practical first
We prefer working prototypes and clear operating models over abstract strategy decks.
About
An AI engineering studio for real operational systems.
Neural Stacks designs and builds applied AI systems for media operations, newsroom workflows, archive intelligence, and enterprise automation — the workflows where deadlines, integration complexity, and human approval all matter at the same time.
Founded 2025
Built from broadcast engineering, IT infrastructure, and AI systems experience.
Neural Stacks is a US-based AI engineering studio focused on the Middle East and North Africa market. The team partners with broadcasters, media operators, and enterprise teams to build AI systems that operate inside their existing newsroom tools, archives, data pipelines, and cloud environments.
The founders come from media technology and production backgrounds, so the work is shaped by operational reality rather than abstract strategy. AI must survive deadline pressure, security rules, legacy systems, metadata gaps, user adoption, and the need for human judgment — not just demo well.
Engagements are intentionally focused: one workflow, one measurable outcome, one production-grade system at a time. Larger architectures are built incrementally, only after the first layer earns its place.
Human controlled
AI should accelerate expert teams while preserving approval, accountability, and editorial judgment.
System aware
The best AI solution is the one that fits into the customer's actual technical environment.
See where to start — our engagement model →
Working session
Work with Neural Stacks.
Share the workflow, system, or AI product you want to build.