Frequently Asked Questions (FAQs)

Leverage applies AI across existing enterprise data, tools, and systems to help employees find information, gain insights, and automate work. It enables organizations to be more productive without replacing their current technology stack. Leverage is all about employee productivity.

Leverage reduces the time employees spend searching across multiple systems by surfacing relevant information in one place. It also helps them understand key insights and generate work outputs faster, so they can focus on higher-value tasks.

No. Leverage works across the systems organizations already use. It connects information across fragmented tools and applies AI to help employees find, understand, and act — without requiring system replacement.

Leverage connects to enterprise systems such as document repositories, collaboration tools, CRM platforms, knowledge bases, and other corporate applications. It works across diverse and siloed environments.

General AI tools are not connected to an organization’s internal systems and workflows. Leverage is designed specifically for enterprise environments and works across corporate information, documents, and tools to support real work use cases.

Yes. Leverage is built for enterprise deployment and can be implemented in cloud, hybrid, or private environments based on organizational requirements. It works within existing access controls and IT policies.

Leverage is designed for organizations that want to improve employee productivity across departments such as HR, operations, product management, finance, and executive leadership.

Leverage addresses the challenge of information being spread across multiple systems. It helps employees quickly locate accurate information, extract insights from corporate content, and automate repetitive work tasks.

Yes. Leverage supports intelligent automation by generating documents, summaries, and role-specific outputs using information from across enterprise systems. This reduces manual effort and speeds up execution.

While individual ecosystems work well within their own platforms, most organizations operate across multiple systems. Leverage connects information across fragmented systems and applies AI across the entire environment — not just one ecosystem.

Yes. Leverage supports on-premises, private cloud, and hybrid deployment, giving organizations full control over infrastructure, data, security, and compliance while applying AI across enterprise systems to improve productivity.

Leverage can be deployed on-premises, in a private cloud, or in a hybrid environment. This allows organizations to run generative AI within their own infrastructure and maintain full control over sensitive corporate information, access policies, and compliance requirements — while still enabling employees to find information, gain insights, and automate work across their systems.

Nethopper is now Leverage. Same mission. Different name.