How On-Device AI Makes Clozyx Smarter
Running AI models locally isn't just a privacy win — it unlocks a class of intelligent features that cloud-based AI can't match.
When most people hear "AI-powered CRM," they imagine a feature that sends your customer data to a third-party API, runs it through a large language model in the cloud, and returns a suggestion. That works, but it comes with real costs: latency, privacy exposure, and ongoing API bills.
Clozyx takes a different approach. Our AI features run entirely on your device, using models that are optimised for the tasks sales teams actually need.
What On-Device AI Enables
Lead Prioritisation
Our scoring model runs in the background, analysing engagement signals, deal age, activity history, and historical win/loss patterns to rank your leads. Because this runs locally, it can process your entire pipeline and keep it updated as things evolve in real time, not just when you explicitly request a refresh.
Contextual Follow-Up Suggestions
After a meeting or email exchange, Clozyx reads the conversation (locally, never transmitted) and suggests next steps. Received a question about pricing? You'll see a prompt to send the rate card. Mentioned a competitor? You'll get a nudge to send your comparison doc.
Email Drafting
One of our most-used features is the email composer. Select a record, choose a template type - or let the model suggest one, and let AI draft a personalised message. You touch up and send - the whole workflow takes seconds.
Pattern Analysis
Win/loss analysis used to require a dedicated analyst or an expensive add-on. Clozyx surfaces these patterns automatically: deal stages where you most commonly stall, average cycle time by industry, and the activities correlated with closed-won deals.
The Privacy Dividend
Because everything runs on-device, none of your customer data ever leaves your machine as part of an AI inference request. Your competitive intelligence, deal notes, and customer communications stay exactly where they belong.
This isn't just a marketing claim - it's an architectural constraint. There's no pathway for your data to reach us, and we've designed it that way on purpose.
The Technical Foundation
Our AI layer is built into the app using industry standard AI runtimes, which allows us to run quantised models efficiently across Windows, macOS, iOS, and Android. We've selected and fine-tuned models that are small enough to run on modest hardware, while being accurate enough to genuinely improve your workflow.
We're continuing to invest in this stack. The roadmap includes smarter forecasting models, voice transcription for meeting notes, and personalised communication style learning.
Try It Yourself
We're accepting early access applications now. Get in touch if you'd like to see the AI features in action during a demo.