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Customer assistants
Answers on your website and chat channels, grounded in your own information.
/ai · AI & automation
We apply AI and automation where they save real hours: answering routine questions, reading documents, moving data and following up, with a human deciding what matters.
AI is useful when it is pointed at a specific, repetitive job and checked by the people who know the business. We start with the job, not the technology.
Every automation we build is visible and reversible: you can see what it did, correct it, and switch it off.
Built by owners
We run businesses of our own. Before we build anything, we ask what an owner would ask: will this bring customers, save time or prevent mistakes?
01 — What we build
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Answers on your website and chat channels, grounded in your own information.
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Invoices, forms and receipts read and turned into data.
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Follow-ups, reminders and hand-offs that happen on their own.
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Daily and weekly briefings generated from your data.
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Search and answers across your documents and policies.
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Approvals where a person should decide, logs for everything else.
02 — Built for Nepal
03 — How we work
We learn how your business works and what success looks like.
Flows and screens you can click through before any code.
Built, reviewed and tested, with every change traceable.
Launched, monitored and improved for as long as you need us.
04 — Questions
That is not the goal. We automate the repetitive parts so your people spend their time on customers and decisions.
Assistants answer only from information you provide, admit when they do not know, and hand over to a person. We test them against real questions before launch.
Current models can work in Nepali. We test the quality with your real conversations before going live, and only launch if it is good enough.
Running costs depend on usage. We estimate them with you up front and set limits so there are no surprises.
05 — Read next
How businesses in Nepal can choose between ready-made and custom software: process fit, local payments, language, offline use, data ownership and effort.
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