Filtered Company Market Research Report

Company Overview

Name: Filtered

Mission: Filtered aims to optimize the return on investment in Learning and Development (L&D) by filtering the right content for the skills people need.

Founded: Information on the exact founding year is not provided.

Founders: Marc Zao-Sanders (Co-founder)

Key People:

• Marc Zao-Sanders, Co-founder & CEO

• Chris Littlewood, Co-Founder & Chief Product Officer

• Sunil Purohit, Chief Financial Officer

• Toby Harris, Chief Customer Officer

• Tom Jennings, Head of Engineering

• Susan Steele, Chair

Headquarters: No information is available.

Number of Employees: No information is available.

Revenue: No information is available.

Notable For: Filtered is renowned for its content intelligence technology, which uses data to improve the discoverability of learning content, tag it with critical skills, and enhance procurement decisions by aligning content with organizational needs.

Products

Product Offerings

1. Content Intelligence Platform

• Description: A data-driven learning content management tool that helps businesses make smarter decisions by aligning learning content with custom skills frameworks.

• Key Features:

• Insightful analytics for content value and relevance.

• AI-powered content tagging to improve content discoverability.

• Automation of content curation to reduce workload and enhance efficiency.

• Integration capabilities with existing HR technology stacks.

Key Features

• Skills Framework Management: Develop and maintain a skills framework aligned with business goals using generative AI and comprehensive data analysis.

• Content Curation: Speed up the content curation process with AI assistance, enabling faster pathway creation and efficient content filtering.

• Content Procurement: Enhance ROI by analyzing content libraries for redundant or overlapping materials and helping in smarter licensing decisions.

Recent Developments

New Products and Features:

• Content Intelligence enhancements to boost learning content relevance from 10% to 90% in LXP search results.

• Introduction of AI-assisted skill level tagging to further refine content recommendations and align them with employee learning needs.

Key Partnerships and Achievements:

• Collaboration with large organizations like AstraZeneca, GSK, and P&G to streamline their content curation processes and reduce costs significantly.

• AstraZeneca is reported to have saved up to 41% in content spending through a data-driven approach facilitated by Filtered's platform.

• ECITB anticipates a £1 million saving over four years from content curation improvements.

No information is available regarding specific recent product launches or partnerships outside the context mentioned above.

Filtered continues to lead in the use of AI for learning and content management, as reflected in its wide-ranging collaborations with global companies seeking to optimize their L&D strategies efficiently.