What is Shrinked.ai?
Shrinked.ai introduces a conversation protocol designed for the AI era, standardizing conversational intelligence across diverse sources. It processes various forms of conversational data, including meetings, calls, interviews, and media files (audio and video), transforming them into structured JSON format. This process ensures precise attribution, linking every piece of insight back to its specific origin within the conversation, including speaker and timestamp details.
The platform offers context-aware storage (DocStore) where this structured data resides, facilitating advanced AI workflows and API processing. Shrinked.ai enables users to set up automated workflows for regular processing and analysis of their conversation library. The system focuses on creating comprehensive, interconnected knowledge networks rather than simple summaries, maintaining contextual relationships across potentially large volumes of data and ensuring verifiability through perfect source attribution in all outputs.
Features
- Standardized Protocol: Converts conversational data into structured JSON.
- Precise Attribution: Maintains perfect citations linking insights to origins (speaker, time).
- Context-Aware Storage (DocStore): Organizes structured conversational data.
- Multi-Source Upload: Accepts audio and video from meetings, calls, media, etc.
- AI Workflow Automation: Allows setting up scheduled processing and analysis.
- Advanced Processing: Transforms raw conversations into knowledge networks with relationship mapping.
- Multiple Export Formats: Provides reports in JSON, PDF, Markdown, HTML.
- Access Controls: Manages visibility for public or private repositories.
- API Access: Enables programmatic processing and integration.
Use Cases
- Analyzing corporate meetings for key decisions and action items.
- Processing legal depositions while maintaining exact source attribution.
- Transcribing and structuring podcast interviews for research.
- Studying political debates and public hearings for detailed analysis.
- Extracting verifiable insights from customer calls and interviews.
- Building interconnected knowledge bases from diverse conversational sources.
- Generating detailed research reports with citations from audio/video.
- Automating the summarization and trend detection in regular team calls.
FAQs
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What is the Shrinked.ai conversation protocol?
The protocol standardizes conversational intelligence across all sources, creating structured, perfectly attributed information with citations back to original speakers, timestamps, and spoken details, enabling context-aware AI applications with verifiable sources. -
Is my conversational data secure with Shrinked.ai?
Yes, Shrinked.ai employs enterprise-grade security measures, including AES 256 and TLS 1.2+ encryption for data in transit and at rest. Private repositories with granular access controls are available, and Enterprise plans offer additional security configurations. -
How are data permissions managed within Shrinked.ai?
Access depends on how documents are added. Direct uploads use individual document or collection permissions. Private integrations limit users to their authenticated scope. Shared integrations allow admins to control document availability within collections or workspaces.
