About Us
We believe software
should work for people,
not the other way around.
AskCipher began with a simple frustration: business applications are powerful enough to run entire companies, but the people using them still have to learn menus, fields, workflows, and workarounds. We are building the layer between human intent and software execution, so teams can say what they need and let their systems respond.
Our story
How the founding thesis became the last interface.
The earliest concept was called The Hive: a private AI environment made of a general interface, company-specific contextual intelligence, and specialised workers for any business task, across any system. Even then, the important idea was not novelty for its own sake. It was context, privacy, and action inside the tools companies already rely on.
That idea evolved into F.UI, short for Forget-the-User Interface. The problem had become sharper: ERP, CRM, HCM, and finance systems are feature-rich, but they ask every user to adapt to the software. AskCipher turns that around by translating business language into the right software action for each organization, industry, and workflow.
Today we describe that as the last interface for business applications. AskCipher is not another dashboard or chatbot sitting beside your work. It is a command layer that understands your stack, your permissions, your vocabulary, and your processes, then executes the work where it already belongs.
Philosophy
What we believe.
Context before action
Useful AI for business cannot be generic. It needs to understand the user's role, the company's language, the application's schema, and the industry context before it touches a workflow.
The system should adapt
Teams should not need expensive customizations or long training cycles just to get value from their business systems. The interface should learn the organization, not force the organization to bend around the interface.
Privacy by architecture
The original vision put company context inside the client's protected environment. That remains central: intelligence gets more valuable when it learns your business, so the architecture must respect ownership, permissions, and control.
Team
The people building it.
A small team with deep experience in enterprise software, AI, and business operations.
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Want to be part of
what we're building?
If you know enterprise software from the inside and want to make it feel dramatically simpler, we would like to hear from you.
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