About 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.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Jylo do?

Where is Jylo located?

Jylo is based in London, United Kingdom.

When was Jylo founded?

Jylo was founded in 2024.

How much funding has Jylo raised?

Jylo has raised 3000000.

Location

London, United Kingdom

Founded

2024

Funding

3000000

Employees

13 employees

Looking for specific startups?

Try our free semantic startup search

Jylo

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

jylo.ai 700+

Crunchbase

Founded 2024 – London, United Kingdom

Funding

Estimated Funding

$3M+

Team (10+)

No team information available. Click "Fetch founders" to run a focused founder search.

Company Description

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.

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.

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.