HXAI | The AI analysis engine for conversations

Future of commerce

Commerce used to run on clicks. Now it runs on conversations.

Clicks had analytics. Today conversations have nobody reading them. Conversations are the most valuable data your company already has: why people buy, what they really need, or can’t find. No team could ever read thousands of conversations every day to find unbiased qualitative insights.

Customers talk to your AI agents

Voice agents, chatbots, emails, WhatsApp, Telegram and more.

AI talking to AI

Customers’ AI assistants having conversations with your AI agents.

AI commerce

Customers research and buy directly through an LLM.

Which conversations? All of them.

All the conversations between your customers and your brand, by text or voice. Your internal conversations too.

AI voice agents

Chatbots

Granola

Wispr Flow

Call transcripts

+ more connectors

What you have: 138 new conversations with your customers.

What other AI tools read: a random sample of summaries you have no say on.

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What you get

The work of a full team. Automated.

To generate unbiased qualitative insights, your team of data scientists, analysts and researchers would have to analyse every conversation, every day, forever. With HXAI the output is automated, ready to share internally and to upload to your company brain.

My data

Last day1,000 newLast week5,870Last month22,410

All sourcesAdvanced

My goals

Leads conversion signalsCustomer discovery insightsWillingness to pay

Generate documents

Latest runs

Leads conversion signals1 min agoLeads conversion signals1 day agoWillingness to pay2 days agoCustomer discovery insights2 days agoLeads conversion signals2 days agoLeads conversion signals3 days agoLeads conversion signals4 days agoLeads conversion signals5 days agoLeads conversion signals6 days agoLeads conversion signals7 days agoLeads conversion signals8 days agoWillingness to pay9 days agoLeads conversion signals9 days ago

Leads conversion signals

1 min ago · All sources · 1,000 conversations · every insight traced to its source

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TL;DR

One new signal this week: leads worry that the waterproof version runs too hot for everyday wear. Three signals carry over: owners of an earlier model asking whether the laces were fixed, requests for colourways not yet on sale, and the ask to try in store.

Signals

1. Worry that the waterproof version runs too hot for everyday wear. New this week. Leads ask whether the waterproof version can be worn every day: “hot feet”, “boil in summer”, “too warm by lunchtime”, “only in winter”. The follow-up question is for a lighter model.

2. Leads who owned an earlier model ask whether the laces were fixed. “The laces on my old pair kept coming undone”, “do the new ones still fray?”. The agent has no answer for it.

3. Leads ask for colourways that are not out yet. “Do you have it in sand?”, “when is the sand one coming?”, “I’ll wait for the sand one”.

4. The ask to try in store comes right after a sizing question. “Is it true to size?”, then “where can I try them on?”.

What changed since last week

The heat worry is new. The other three are not; the laces one has come up every week for over a month.

Example document. Findings invented for illustration.

Food for your company brain.

Everyone is building a brain for their company. HXAI gives you what to feed it: unbiased qualitative insights, in documents ready to share with your team and across your AI stack.

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Questions

Build vs Buy.

Can your tech team build this?

Yes. The same way you could build your own email or calendar app. Anyone can make the demo. The work is making it run at scale, maintaining it, keeping your data safe and adding what’s needed as AI models keep changing. Unless reading conversations at scale is your core business, building internally what we spent years refining might not be the best use of the limited time your tech team has.

Can you tell an AI to read everything?

No. AI will spot the obvious trends when you share your data. But you cannot find unbiased qualitative insights, even with the latest models. Reading everything is not what AI models are built for. Give them your raw data and you will miss 70 to 80% of the data you already have. They don’t read it all. They sample, and you have no say in what gets read.

Don’t take our word for it. Ask your AI tools whether they read everything, and they tell you.

1 of 2

Most notetakers don’t read all your transcripts.

You ask for insights from a whole folder. They read part of it and answer anyway.

Screenshot of a notetaker's reasoning: 'Reading all 114 transcripts individually would be impractical'

2 of 2

The other AI tools do the same.

Ask a question about all your data. They scan fragments of it and answer.

Screenshot of a summarisation tool: 'no, I have not read every single word across all 103 raw transcript files', 'result of algorithmic sampling'

Can I trust the HXAI analysis engine?

Yes, and you can check. Your data stays yours: you decide what to sync and what period to analyse, and nothing is read that you did not choose to share. Every conversation you share is read in full, the way a full team would read it: data scientists, analysts, researchers and growth, each with their own angle on the goal you set. You get the finished document, and for every insight in it you can trace the exact quotes and the conversations they came from. You weren’t there. You still know exactly which conversation each line comes from.

Example layout

conversation 0412

conversation 0097

conversation 1133

The AI analysis
engine
for
conversations