Founder
Rukmer
Rukmer aggregates fragmented knowledge from Slack, email, and document platforms into a continuously updated, machine‑readable "executable skills file" that serves as a centralized brain for company operations.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
Updated 4 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Companies often have critical knowledge scattered across multiple communication and document platforms such as Slack, email, and cloud storage, making it difficult for employees and AI tools to locate, interpret, and act on that information efficiently.
Solution
Rukmer aggregates data from Slack, Gmail, Outlook, OneDrive, Google Drive, Notion, and other operational tools into a continuously updated, structured repository called an “executable skills file.” This centralized knowledge layer is automatically digested and organized, enabling AI agents to search the company’s collective information, understand context, and trigger actions directly within the tools where work occurs. By providing real‑time, machine‑readable representations of workflows and domain knowledge, Rukmer reduces manual search effort and allows automated processes to execute business tasks without custom integration for each source.
Target Audience
Primary users are mid‑size to large enterprises that rely on multiple collaboration tools and seek to automate workflow execution through AI without building bespoke integrations.
Features
- Connectors for major communication and document platforms (Slack, Gmail, Outlook, OneDrive, Google Drive, Notion) to ingest data in real time
- Automatic digestion and structuring of unstructured content into a unified, executable skills file
- Real‑time updates ensure the knowledge base reflects the latest information across all sources
- SDK with simple API (e.g., `analyze(source)`) for developers to query and trigger AI‑driven actions
- Enables AI agents to perform searches, understand context, and act on workflows directly within existing operational tools