Shrinked is an advanced AI platform designed to transform audio and video conversations into structured, searchable knowledge. By capturing and organizing spoken content from meetings, interviews, and media, Shrinked empowers large language models (LLMs), Q&A systems, voice agents, and enterprise AI applications with trustworthy context, ensuring accurate and reliable outputs.
Key Features and Functionality:
- Capsule BETA: A context clipboard that stores and retrieves essential information from various conversations, enabling seamless sharing with LLMs and applications without the risk of hallucinations or fabricated facts.
- Data Capture: Ability to capture infinite spoken context from diverse sources, including team meetings, interviews, and customer calls.
- Structured Data: Converts conversations into structured formats, extracting key insights, related contexts, and generating JSON outputs for technical export.
- Technical Export: Integrates with platforms like Confluence to merge conversation data into structured knowledge bases, extracting technical decisions, API endpoints, and system architecture diagrams.
- Voice Agent Analytics: Analyzes automated sales voice agent calls, generating dashboards that display conversion rates, common objections, and response effectiveness, aiding in script improvements.
- Medical Research: Processes medical lectures, clinical trials, and patient consultation recordings to create comparative analyses of treatment efficacy across demographics, supplemented with research from sources like PubMed.
Primary Value and User Solutions:
Shrinked addresses the challenge of preserving the integrity and context of spoken information. By converting conversations into structured, searchable data, it ensures that AI systems operate with accurate and verifiable information, reducing the risk of misinformation. This capability is invaluable for professionals across sectors such as education, journalism, research, business, and public discourse, enabling them to access and utilize precise information efficiently. Additionally, Shrinked's commitment to data privacy and proper attribution ensures that content creators maintain control over their information, fostering trust and reliability in AI applications.
