Jylo is an artificial intelligence platform that enables organizations to transform unstructured data into structured information, facilitating data exploration, organization, and interpretation. Developed initially within the UK law firm Travers Smith and spun out as an independent company in 2024, Jylo offers tools designed to capture, retain, and operationalize institutional knowledge across various business functions.
The platform supports a model-agnostic approach, allowing users to select appropriate AI models for specific tasks, thereby managing costs while enabling scalability. Jylo's features include compliant chat functionalities to ensure adherence to security and privacy policies, project-centric collaboration spaces for team-based workflows, and dynamic filters to convert unstructured data into navigable structured formats.
Additionally, Jylo provides a verification workflow with human-in-the-loop capabilities to minimize errors, a text analysis tool for interrogating and analyzing source information, and a Prompt Development Studio for building complex prompts. The platform also offers analytics for transparency and auditability of AI usage within organizations.
Funding Information:
Jylo has raised a total of $3M in funding over 1 round. This was a Seed round raised in June 2024.
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