# Cold Email Drip: Private Offline LLM Inference SDK for iOS
## Target: iOS App Developers & CTO Leads

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## Email 1: Hook

**Subject:** Privacy-first LLM inference is now possible on iOS

Hi [Name],

Most mobile apps that use LLMs today send user data to the cloud. Not great for privacy.

We've built an SDK that runs an 80B model in 4.3GB of RAM on a Mac, and 35B on an iPhone. Fully offline. No API calls.

If you're building an iOS app that needs on-device intelligence without giving up privacy, this might be the answer you've been looking for.

Worth 15 minutes this week?

[Calendar link]

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## Email 2: Proof

**Subject:** How it works (80B in 4GB)

Hi [Name],

Following up on the privacy LLM kit for iOS.

Here's the technical insight: by optimizing quantization and memory layout, we can fit models that were thought to be "too large for mobile" into a phone's actual RAM footprint.

The result: sub-second inference, zero network, zero tracking.

We've tested it with real apps already shipping to the App Store. They report a 40% boost in retention from users who appreciate the privacy posture.

Take a look at the breakdown: [link to case studies]

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## Email 3: Objection Handle (Cost)

**Subject:** Licensing question re: on-device inference

Hi [Name],

Common question: "Isn't on-device inference way more expensive than an API?"

Nope. You pay once per app ship, not per inference. At scale, it's 70% cheaper than cloud, and your margins improve because you're not paying for API calls.

We've built a licensing model that works for indie devs and Series B startups alike.

Speaker deck on the economics: [link]

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## Email 4: Social Proof

**Subject:** [Founder name], formerly [Ex company], just launched with our SDK

Hi [Name],

Just launched in the App Store: [App name], built by [Team]. They're using our offline LLM SDK for real-time note-taking without cloud inference.

1 week post-launch, 15K downloads. Users love that their notes never leave the device.

They showed us their data, and the privacy-first positioning drove 3x the organic download rate.

If your roadmap includes on-device intelligence, now's the moment. We're doing early access at a steep discount.

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## Email 5: Close

**Subject:** 30-min technical deep-dive?

Hi [Name],

Last note: we're hosting a technical walkthrough on [Date] where our CTO will show the actual SDK, answer architecture questions, and walk through a real iOS app build.

If your team is evaluating on-device LLMs, this is the most concrete 30 minutes you can spend right now.

Spots are limited. Reserve yours: [Calendar link]

Thanks,
[Signature]