Neural Stacks designs and builds AI systems that run inside your newsroom, archive, production, and data workflows — not another disconnected tool on top of them.
Each layer can be delivered as a focused prototype, a production integration, or part of a longer managed platform roadmap.
Embedded AI agents for production, approval, translation, summarization, compliance, and operational workflows.
Media asset intelligence for searchable archives, transcripts, scenes, faces, objects, topics, rights, and metadata.
AI-assisted newsroom coordination for story discovery, rundown support, source monitoring, clip suggestions, and editor-in-the-loop decisions.
Most AI demos look impressive until they meet access control, MAM metadata, rundowns, shared storage, editorial policy, and real deadlines. Neural Stacks is designed for those constraints from day one.
We integrate with your current tools instead of forcing a parallel workflow.
AI proposes, assists, and accelerates. Editors and operators remain in control.
Cloud, hybrid, customer VPC, and controlled data-flow options are planned early.
Wire monitoring, story briefs, translation, transcript support, and rundown assistance.
Semantic search across video, speech, faces, scenes, metadata, and editorial context.
Dataset curation, labeling, quality checks, privacy review, and traceable AI data operations.
Workflow agents for repetitive knowledge work, approvals, summaries, routing, and reporting.
Document the workflow, systems, permissions, data sources, users, and operational risk.
Build a working proof against real inputs and measure whether the AI layer is worth scaling.
Connect APIs, storage, identity, logging, approval steps, and deployment environments.
Monitor, tune, document, and improve the system as models and workflows evolve.
Start with one painful process. We will help you define the automation layer, integration path, and practical delivery plan.
