Video Insight Pro vs Coginiti AI

Video Insight Pro is a video analytics platform for teams that need to search, question, and report on large libraries of footage without watching every minute by hand. Upload files or connect storage, then query your library in plain language to find moments, summarize content, and export audit-ready evidence.

Built by Launchable AI Inc. in Ontario, Canada, the product targets security, retail, training, media, and operations teams where video piles up faster than anyone can review it. Semantic search looks at visual content and transcripts, not just filenames, so queries like safety violations or customer complaints surface matching clips with timestamps.

The workspace supports batch analysis across hundreds of videos, reusable analysis templates, role-based team access, and exports to PDF, CSV, JSON, or Markdown. Analysis runs on Google Gemini models with Fast, Pro, and Deep tiers that trade speed for depth depending on the job.

Writing and debugging SQL still eats hours even when the warehouse is fast, and Coginiti AI puts a conversational advisor inside the Coginiti analytics workspace to shorten that loop. You ask questions in plain language to catch syntax errors, get execution plan explanations, request sample queries, and tune joins or indexes without leaving the editor. The advisor learns from each interaction and stays optional, so teams can turn it off or point it at their own generative model.

Generic copilots draft text and stop. Coginiti AI stays inside a full SQL workbench with a personal analytics catalog, versioning, multi-database connections, and team sharing on higher tiers. Coginiti does not let third-party models touch your data platforms directly, which matters when you are querying production warehouses. Pro ships as a Windows or macOS desktop app with a 30-day free trial, while Team and Enterprise add shared catalogs, scheduling, and web deployment.

Data engineers, analysts, and scientists at security-conscious organizations use it to reuse SQL blocks, propagate code changes across dependent analytics, and cut compute costs from slower queries. Supported connections span major cloud warehouses plus Amazon S3, Azure Blob Storage, and Google Cloud Storage.