Shelf
Experience the True Power of Knowledge Management

Often, organizations over-index on creating content because there is always demand for new knowledge as a business evolves and grows. Unfortunately, the creation of new knowledge mostly takes precedence over improving the knowledge in use,” says Tobias Jaeckel, co-founder and CTO at Shelf.

Without an effective strategy to separate knowledge from existing data, businesses are liable to over-consuming unusable information. However, past experiences with knowledge management (KM) technology have left IT executives in bad taste to take active measures against the problem, with many preferring to manually enter the details. Shelf enables clients to easily derive data relevant to business growth and helps them eradicate excessive entry of information and accumulated knowledge debt.

An integrated all-encompassing information analytics system connects all departmental applications and processes, empowering users to move away from silo-based data architecture.

make it extremely easy for someone to understand and take action,” adds Jaeckel.

Optimized to provide an intuitive way of interacting with knowledge, Merlin AI offers clear and concise information on a subject without overwhelming the user with too many details. Shelf’s views integrated into a CRM, ticketing system, or CCaaS enable a user to obtain highly relevant answers to their specific job-to-be-done at that moment.

“Our platform performs the necessary analytics without intruding on a user's workflow. Rather, it helps guide them along the way should they need the information,” says Colin Kennedy, co-founder and COO at Shelf. Paying attention to search and findability in a KM system, Shelf created an easy method for users to scour through petabytes of information and gather relevant data. “We came from knowledge. We are knowledge managers turned technologists. Before writing a line of code, we completed hundreds of KM projects,” adds Jaeckel.

Easily customizable to enterprise content and workflows, Shelf’s platform is modular and does not require special skills to deploy alterations at a later stage. Shelf instills many faceted search components based on library sciences best practices to help users quickly find the information they need, including answers hidden in long-form content.

Connectivity with various data sources ensures Merlin AI performs best when employees need unadulterated knowledge as part of their daily workflows. Working with some of the world’s largest enterprises, Shelf supports very complex KM projects, allowing clients to realize value quickly due to the platform's flexibility. Shelf enables clients to get information that is critical for other people to access easily and quickly and solves the prominent problems associated with previous methods of solving knowledge management issues.

"Our Platform Performs the Necessary Analytics Without Being Intrusive to the Workflow of A User. Rather, It Helps Guide Them Along the Way Should They Need the Information"

Designed on a modern cloud infrastructure with micro-services that allow for rapid development, the platform includes a patented AI engine and best-in-class search infrastructure. Taking enterprise security into account, the Shelf KM system is continuously monitored and highly secured, equipping enabling clients to automatically oversee infrastructure, penetration testing, and SOC2 audits. To ensure unauthorized personnel or cyber fraudsters cannot access the data, Shelf employs an elaborate security and access control concept. Enterprises can integrate Shelf with their active directory, automate user provisioning and deprovisioning, and automate assignment to user groups that manage granular permissions on the platform. Routinely passing the hardest infosec evaluations, Shelf’s best-in-class security also allows clients to integrate audit logs with a SIEM system and include Merlin AI in their centralized security monitoring.

At the pandemic's peak, as knowledge became difficult to share with everyone working remotely, Shelf became a distributed organization and grew a worldwide workforce mirroring challenges that customers faced in knowledge management. This approach allowed Shelf to create a significant KM product for customers. Clients receive a good foundation of knowledge that enables them to move quickly and react to external events.

On a mission to empower humanity with better answers for every industry and enterprise sector, Shelf, riding on the skills of its highly-experienced founding team, strives to serve the KM community and deliver the best possible outcomes to critical issues. Consistently winning accolades for highest user adoption, best ROI, easiest to implement, and most likely to be recommended, Shelf is also being validated for being the highest customer-rated KM platform in the world by sites like G2 Crowd and Gartner Digital Markets.

Shelf goes above and beyond to fulfill the promise of knowledge management system integration to create better, smarter organizations of the future.

Prompting enterprises to take advantage of the knowledge and focus on knowledge transformation, Shelf believes that CIOs must make KM technology implementation a top priority in 2023. Businesses must invest in knowledge infrastructure that can unify their databases to open a pathway toward the best training ground for next-generation AI applications. Shelf has various interesting releases planned for the coming years to enable enterprises to optimize knowledge management and transform their productivity.

Often, Organizations Over Index On Creating Content Because There Is Always Demands For New Knowledge As A Business Evolves And Grows. Unfortunately, The Creation Of New Knowledge Mostly Takes Precedence Over Improving Knowledge That’s In Use

Shelf encourages CIOs to rethink their strategy and enables them to set the proper knowledge architecture that can help improve the ROI of all other technology expenditures. Moving into the next phase of the information age, investment in Shelf’s integrated data, knowledge, and AI strategy will allow businesses to have the KM infrastructure to better support AI initiatives and distill different information into bite-sized answers. Passed on to machines and humans, these definitive insights are critical for organizational efficiency and performance now and in the future.