Custom AI chatbots and assistants that answer customers and staff, get work done in your systems and ask before they act.
The chatbots and assistants we build most often, and any other conversation your team has every day.
Questions answered from your help centre and policies, orders and accounts looked up, and the rest passed to your team with the conversation.
Product questions answered, the right item recommended and orders tracked, from your own catalogue and store.
Demos, visits and appointments booked in your calendar from the chat, with a confirmation sent.
Pre-sales questions answered from your own pages, the visitors who fit qualified, and the lead in your CRM.
HR, IT and policy questions answered from your documents where your team already works, each person seeing only what they may.
An assistant in your app that answers from your data and does the task for the signed-in user.
New users walked through setup one step at a time, their progress kept between questions.
Six steps, from the conversations you want handled to an assistant your customers and staff use every day.
The conversations worth handing over, and the point where a person takes over.
Flows, tone and handover agreed as sample conversations, with your content ready to answer from and a dated estimate.
Connected to your content, CRM and help desk, on your site, in your app and on your chat channels.
Tried on real questions, with every wrong or unsourced answer fixed.
Live on your channels, on a share of conversations first, then on all of them.
Conversations reviewed every week, with content and tests updated from what went wrong, or handed over to your team.
The conversations worth handing over, and the point where a person takes over.
Flows, tone and handover agreed as sample conversations, with your content ready to answer from and a dated estimate.
Connected to your content, CRM and help desk, on your site, in your app and on your chat channels.
Tried on real questions, with every wrong or unsourced answer fixed.
Live on your channels, on a share of conversations first, then on all of them.
Conversations reviewed every week, with content and tests updated from what went wrong, or handed over to your team.
What we can build into a chatbot or assistant, chosen for who it talks to.
Answers come from your own help centre, policies or documents, with the source shown, and it says so when the answer isn't there.
It looks up orders, books, updates records and opens tickets during the chat, each tool with its own permissions.
Conversations pass to your team with the history and what was done, so nobody asks the customer to start again.
One assistant behind your site, app, messaging and team chat, with the same answers on each.
Answers depend on who's asking: what's for HR stays with HR, and customers see only their own accounts.
It answers in the language it's asked in, from content written in yours.
Real questions from your inbox run against every change before customers see it.
Unanswered questions and handoffs show where your content is missing, and become new articles and tests.
Card numbers, emails and other personal details masked before they reach the model or the logs.
Starting something new with AI, or adding it to software you already have.
An AI MVP with the features that matter most, to launch and learn.
An AI product designed, built and launched in full, by one team.
AI engineers join your team, or a dedicated team runs the work.
AI built into the systems you already run, working with your data and permissions.
A demo or proof of concept made reliable, secure and measured, ready for real users.
Hosted and monitored, with models evaluated and updated as your data changes, agreed with you.
Custom software development across industries: web, mobile and AI applications, built and security-audited by one team.
We also build software for insurance (insurtech), government (govtech), energy and media. If your industry is not listed, we can still build for it.
The models, frameworks, channels and business tools we build chatbots and assistants with, chosen for each project.
Three products of our own, designed, built and kept running by the team that would build your assistant.
Retail · SaaS
A point-of-sale system that keeps sales, stock and receipts together on till, tablet and phone.
Travel
A travel booking app whose AI assistant finds flights, hotels and trip ideas, through to a confirmed booking.
AI
An AI assistant for customer support and sales that answers questions and guides buyers.
What teams ask before they put an AI in front of their customers or staff, answered plainly.
Mostly what it can do. A chatbot answers questions; an assistant also does things — looks up an order, books a meeting, opens a ticket — and keeps the conversation's context. We build both, and most projects sit between the two: answers from your content, and the few actions that finish the conversation.
Usually, yes. It connects to help desks such as Zendesk, Intercom and Freshdesk, CRMs such as Salesforce and HubSpot, and your order system, calendar or own APIs, each with only the permissions it needs.
It answers only from your own content, shows the source of each answer, and says it doesn't know when the answer isn't there, passing the conversation to a person instead. A set of real questions runs against every change, so a wrong answer is caught before customers see it.
If your questions live in one help desk and its own AI, such as Intercom's Fin or Zendesk's, covers them, use it — we'll say so. A custom assistant pays when answers depend on your own systems, several sources or channels, permissions or actions a platform can't take, and it stays yours, on the model you choose.
Your website and app, WhatsApp, Slack and Microsoft Teams among others, all from one assistant with the same answers on each. Staff assistants usually live in Slack or Teams, and customer ones on your site and WhatsApp.
It says so and passes the conversation to your team — in your help desk, in Slack or by email — with the history and what it already did, so nobody repeats themselves. Out of hours it takes the details and opens a ticket.
Yes. We start with your transcripts: the questions it gets wrong, where people give up and what it can't reach. Often the fix is the content and how it's searched rather than a new chatbot.
Each person sees only what they're allowed to, personal data is kept out of logs and prompts, and conversations are stored in the region you choose. Where data mustn't leave your network, the assistant can run on a private model.
Most of the languages your customers use, English, Spanish and Portuguese among them. It answers in the language it's asked in, even when your content is written in one.
Choosing the conversations and preparing the content takes one to two weeks, a working assistant tested on your questions two to six, and a pilot on one channel a few weeks more. Running cost is mostly the model's use per conversation, which we estimate before we build. After a first call we send a written estimate.
