MindMade provides a hybrid intelligence platform that combines persistent memory, deep‑learning pattern recognition, and adaptive automation for video post‑production and knowledge work. Its CineLogic plugin integrates narrative‑aware editing into major NLEs to auto‑generate shot lists and optimize timelines, while the Iris conversational interface offers context‑preserving asset retrieval and workflow orchestration across devices.
Funding
Funding not disclosed
Founders
Product
Problem
Creative professionals and enterprises often struggle with fragmented workflows, where tools lack persistent context, automated pattern recognition, and seamless integration, leading to repetitive manual tasks and missed creative insights during post‑production, research, and content generation.
Solution
MindMade delivers a hybrid intelligence platform that unifies persistent memory, pattern‑recognition algorithms, and adaptive automation into a single stack. The CineLogic plugin embeds narrative‑aware editing capabilities directly into existing video‑editing suites, automatically detecting scenes, actors, and emotional beats to streamline shot‑list creation and timeline optimization. Iris, a cross‑platform natural‑language interface, retains conversational context across sessions, surfacing relevant assets, generating research summaries, and orchestrating workflow automations via a unified API. Together, these components enable users to augment their cognition with real‑time insights while the underlying system continuously learns from each interaction, reducing manual effort and accelerating creative output.
Target Audience
Primary customers are film and video post‑production houses, professional editors, and creative teams in media enterprises that require advanced automation and contextual assistance; secondary users include research groups and corporate knowledge‑workers seeking AI‑augmented workflow orchestration.
Features
- Persistent memory fabric that stores and indexes user interactions, documents, and media assets for instant retrieval across devices.
- Pattern‑recognition engine leveraging deep‑learning models to identify actors, scene structures, and audio cues within raw footage.
- Adaptive automation scripts (e.g., trigger‑based workflows) that execute repetitive tasks such as shot‑list generation, transcription, and asset tagging.
- CineLogic post‑production plugin with API hooks for major NLEs (Adobe Premiere, Avid Media Composer, DaVinci Resolve) enabling in‑app narrative analysis and timeline optimization.
- Iris conversational UI supporting multi‑modal input (text, voice, document upload) with context‑preserving NLP pipelines for research assistance and content synthesis.
- Cross‑platform synchronization via secure cloud services, ensuring consistent state between desktop, web, and mobile clients.
- Privacy‑first social graph (Constellation) that maps relational relevance and surfaces collaboration opportunities based on shared project history.
- Enterprise SDK and RESTful endpoints for custom integration, allowing organizations to embed hybrid intelligence into proprietary pipelines and SaaS products.