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See the demo
Connect your data, at scale
All your records across CRM, billing, product, and support, unified into one governed layer on your infrastructure. Nothing gets exported or pasted anywhere.
Anyone can ask a public chatbot a question. That is where AI started. Where AI is going is different: a private model plugged into the systems you already run, reading your own records, following your own rules, and producing results your team can act on every morning. This page is a live look at that shape.
Not a question box. This is the company's own customer data, connected and following its rules, turning into a ranked to-do list your team can act on this week.
In plain terms: every customer record, invoice, login, support ticket, contract, and campaign the business has, spread across the tools it uses every day. Far too much, and too private, to ever paste into a chatbot.
It only sees the raw list, never your rules. Re-runs each time, but your rules can't reach it.
It is genuinely useful for a pasted file. It cannot do the job above.
Whether you have thousands of records or millions, they do not fit in a paste. A chat box holds only a few hundred.
Whatever you paste is a dead snapshot. Your data moved since you copied it.
It does not know your churn thresholds, renewal windows, or pricing logic. This does.
It answers once. Results have to run every morning, automatically, forever.
Customer names, contracts, and financials legally cannot go to a public model. This stays on your infrastructure.
An answer in a chat window is not a workflow. Results have to land where the work happens.
A fresh, ranked to-do list every morning, made automatically. Not a question someone has to remember to ask.
Runs on your infrastructure with zero-retention or self-hosted models. Customer data never goes to a public model.
Every record and every account note checked against your rules on every run, so the quiet at-risk accounts surface too.
The manual pulling, joining, and eyeballing of data across systems your team does by hand, gone.
The demo above runs on a fictional company, but the pieces are the same in every production build. The model itself is a commodity; the value is in the layer wrapped around it.
Every record from CRM, billing, product usage, support, contracts, and account notes pulled into one layer the AI can read, without anyone exporting anything.
Churn thresholds, renewal windows, upsell triggers, the policies your team runs by, become logic the model applies on every record.
Runs on your infrastructure. Zero-retention or fully self-hosted models so customer data, contracts, and financials never reach a public model.
Not a one-off answer. It runs again on a schedule from live data, so the to-do list is always up to date.
Every item shows the actual numbers and the rule behind it. No made-up names, no generic filler, no guessing.
Results push into your CRM, your inbox, or Slack, so they become work that gets done, not a chat window someone forgets to open.
The engagement pattern we follow for every AI integration project. First working slice on your infrastructure; everything else layers on from there.
All your records across CRM, billing, product, and support, unified into one governed layer on your infrastructure. Nothing gets exported or pasted anywhere.
The limits and policies that define how your business works become rules the model follows, so the results match how you actually work, not generic advice.
A ranked to-do list, backed by your real data, remade every morning and sent into the tools your team already uses. On your systems, with your data staying yours.
Same workflow patterns Entexis rolls into client setups. Try them in your browser, no signup. If one feels like it'd help your team, we build a private version tuned to your data.
We build private, integrated AI on top of the systems you already run: CRMs, data warehouses, docs, product logs. First working result quickly, on your infrastructure, with your data staying yours.
See our track record, client reviews, and completed AI projects. Reach out from the platform and we will scope your first decision.
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