Hands holding a phone in a dark room, the screen lighting the fingers.

Generative AI

Applications built on large language models: chatbots and voice agents, RAG systems that answer from your own documents, and vision-language models that read photos and screenshots. They look up live data and hand over to a person instead of guessing.

Start a Project

The problem

Conversations that slip through the cracks.

The same ten questions all day

Prices, timings, delivery areas and order status take up most of the support team's time.

Missed calls after hours

A customer calls at 10 pm, nobody answers, and they book with someone else.

Leads lost in the inbox

Enquiries arrive on WhatsApp, Instagram and the website, and some are never answered.

Bots that make things up

A generic chatbot invents a refund policy, and now the business has to honour it or apologise.

What we build

Assistants that work every hour you are closed.

A smiling woman reading a message on her phone.

Generative AI

WhatsApp assistants

Answers, order lookups, bookings and payment links on the official WhatsApp Business platform.

A woman taking a phone call in an office.

Generative AI

Voice agents for phone lines

An assistant that answers calls, books appointments, takes messages and sends a summary to your team.

A woman checking her phone at a desk with an open laptop.

Generative AI

RAG over your documents

A chat on your website or help centre that searches your own pages and files and shows the source of every answer.

A woman in an office chair typing on her phone.

Generative AI

Internal knowledge assistants

Staff ask questions about policies, procedures and past cases and get answers with links to the documents.

Hands holding a phone over a café table with a camera and a drink.

Generative AI

Vision-language models

Photos, screenshots and forms read by models that understand images and text together, with the result checked before anything is saved.

A screen filled with dense, colourful lines of text and code.

Generative AI

Private LLMs

Smaller open models fine-tuned for your tasks and run on your own hardware.

How it gets built

Teaching an assistant your business.

  1. 01

    Collect the real questions

    Past chats, emails and call notes show what customers actually ask and how they phrase it.

  2. 02

    Write the source documents

    Policies, prices and FAQs written clearly, because the assistant can only be as good as what it reads.

  3. 03

    Connect live systems

    Orders, bookings and stock are looked up from the real system, never guessed.

  4. 04

    Design the handover

    When and how a person takes over, with the whole conversation passed along.

  5. 05

    Test the awkward cases

    Typos, mixed languages, several requests in one message and attempts to talk it into a discount all go on a checklist it must pass.

  6. 06

    Review every week

    Conversations and handovers are reviewed, and the documents improved where answers fell short.

What goes live on your channels.

  • Assistant on WhatsApp, website or phone
  • Answers grounded in your documents
  • Live lookups for orders and bookings
  • Handover to staff with full history
  • Conversation dashboard
  • Weekly review and improvements

Tools we use

  • LLMs
  • RAG
  • Vision-language models
  • Vector search
  • WhatsApp Cloud API
  • Vapi
  • Whisper
  • Hugging Face
A processor chip on a circuit board with glowing orange traces.A small white humanoid robot looking towards the camera.

Questions

What people ask about Generative AI

Your website, WhatsApp Business, a dedicated phone number for voice calls, and internal tools such as a staff portal. One assistant can serve several channels.

Questions? We will put you on the right path

Tell us what you want from Generative AI and we will tell you what it would take.

Start a Project