Keryk operationalizes organizational expertise into AI-driven systems, transforming tacit knowledge into actionable intelligence. They build custom AI assistants and automation workflows that embed proprietary business logic, guiding decisions and ensuring repeatable outcomes based on top performer knowledge.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to effectively leverage their internal expertise, which is often siloed and undocumented, leading to inefficiencies and missed opportunities for innovation. Standard AI solutions frequently fail to integrate with specific business processes and proprietary knowledge, limiting their practical application and impact.
Solution
Keryk provides a framework and services to capture, structure, and operationalize organizational expertise into AI-driven systems. Their approach, the Pipeline for Integration of Contextual Knowledge (PICK), transforms tacit knowledge into actionable intelligence. This enables the creation of AI assistants, copilots, and automated workflows that guide decisions, ensure repeatable outcomes based on top performer knowledge, and embed intelligence for continuous learning. Keryk acts as an AI/Business translator, bridging the gap between advanced AI capabilities and specific business challenges to drive measurable value.
Target Audience
Keryk serves businesses seeking to operationalize their internal expertise through AI, including executives, transformation leaders, and department heads looking to enhance decision-making, streamline operations, and scale capabilities.
Features
- **PICK Framework**: A methodology for capturing, structuring, retrieving, and applying organizational expertise using AI.
- **AI-Powered Knowledge Capture**: Utilizes AI-assisted sessions and research agents to extract and organize expertise from various sources, including SME interviews and documentation.
- **Intelligent Knowledge Network**: Structures captured knowledge into a multi-layered AI model incorporating semantic relationships, ontologies, and vectorized search for contextual retrieval.
- **Hybrid AI Retrieval Model**: Combines semantic search, knowledge graphs, and contextual AI reasoning for precise and relevant information delivery.
- **AI-Driven Execution**: Develops AI agents and applications that autonomously execute knowledge-intensive tasks, adhering to SME best practices and business rules.
- **Custom AI Solutions**: Designs and implements tailored AI assistants, copilots, and automation workflows that embed proprietary business logic and decision-making capabilities.
- **Conversational AI Interfaces**: Enables natural language interaction with knowledge bases through chatbots and AI assistants for instant, context-aware answers.
- **Executive Dashboard & Feedback Loops**: Provides real-time visibility into AI usage, performance, and business impact, with mechanisms for continuous model improvement.
- **Integration Capabilities**: Facilitates seamless integration of AI solutions with existing enterprise systems such as CRM, ERP, and ITSM platforms.