Jylo

Jylo is an AI platform that operationalizes institutional knowledge by transforming insights into an internal marketplace, enabling organizations to capture, retain, and reuse expertise effectively. It provides tools for structured data conversion, model selection, and compliance, ensuring secure and efficient collaboration across teams.

Traction 10/10

London, United Kingdom · HQ

Founded 202413700+ followers

Artificial Intelligence
Data & Analytics
Enterprise Software
Software Only

Updated 7 months ago

Funding

Raised to date

$3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

RoundDateAmountValuationInvestors

Founders

1 founder

Shawn Curran

CEO

Product

Problem

Organizations struggle to effectively capture, retain, and reuse institutional knowledge, leading to duplicated efforts, loss of expertise when employees leave, and inconsistent application of best practices. Existing AI tools often operate in silos, hindering team collaboration and creating security and compliance risks.

Solution

Jylo is an AI platform designed to operationalize institutional knowledge by transforming insights into an internal marketplace. The platform enables organizations to capture, retain, and reuse expertise effectively across teams and projects. Jylo supports structured data conversion, model selection, and compliance, ensuring secure and efficient collaboration. It moves away from individual AI copilots by embedding AI as a team member within projects, aligning with existing organizational security protocols.

Target Audience

Jylo is designed for organizations seeking to improve knowledge management, enhance team collaboration, and ensure secure and compliant AI usage across their operations.

Features

Internal marketplace for capturing, retaining, and reusing institutional knowledge.
Model agnostic architecture allowing utilization of the right model for the right job, managing costs while enabling scale.
Compliant chat functionality that blocks consumer AI tools and democratizes model selection while adhering to security and privacy policies.
Project-centric design that embeds AI as a team member for projects, supporting team collaboration.
Dynamic filters that convert unstructured data into structured data and map it to custom filters for ease of navigation.
Verification workflow with human-in-the-loop verification to eliminate the risk of hallucination.
Text analysis tool to quickly copy and paste source of truth information from external sources to interrogate and analyze.
Prompt development studio (IDE) for building complex prompts and selecting different models for different prompts.
Analytics dashboard providing auditability and transparency of AI use within the organization, managing return on investment by reporting on usage and cost.