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Case studies

Four systems we have built: what the client was doing by hand, what we built, and the constraint that shaped it.
  • Case 01

    AI Sales Agent: Prospecting, Email Outreach and Replies, End to End

    We built an agent that runs the whole sequence. It finds prospects on the web, identifies the owner and their email, writes and sends the email, replies when the prospect answers, schedules each send for the prospect's time zone and reports opens.

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  • Case 02

    AI Voice Receptionist: Answers, Classifies and Routes Calls 24/7

    We built a voice receptionist that answers every call, day or night, on the client's existing phone number. It classifies each call and routes it. Speech-to-text and text-to-speech run through a single provider.

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  • Case 03

    LLM Sales Chatbot Trained on a Company's Past Conversations

    We built a sales chatbot that learns from the company's previous sales conversations, then talks to new prospects the way the owner would. It handles the first conversation and qualification around the clock.

    Read the case study
  • Case 04

    Pixelet: AI Bookkeeping Checked by Multiple AI Models

    We built a bookkeeping pipeline where several AI models process each entry independently. An entry is accepted only when the models agree.

    Read the case study

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Tell us what your team does by hand, how often, and your timeline. We will reply with how an agent would handle it and a straight read on scope.

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Khive

Custom AI agents, voice AI and software engineering.

Islamabad, Pakistan / Since 2017

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Case studies

  • AI Sales Agent
  • AI Voice Receptionist
  • LLM Sales Chatbot
  • Pixelet, AI Bookkeeping

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