MacPaw AI gives Mac products the on-device runtime to think, remember, and act.
Native-Swift inference, memory, and agents — fast and private by design.
Already in our products. Opening to yours.
Product teams, R&D groups, and ecosystem partners.
Every top AI model in one place — one OpenAI-compatible endpoint for your apps, with no keys to manage and no billing to build.
Visit Setapp AI GatewayClaude, GPT-4o, Gemini, DeepSeek, and 10+ more — switch models by changing a single parameter.
Dynamic routing sends simple queries to cheaper models, and repeats are cached — lower cost, same UX.
Setapp validates subscriptions and AI-credit balances for you — ship AI features without a payment stack.
A Mac-native on-device inference engine — built on MLX and tuned by MacPaw Research for speed and privacy.
Learn about ElixSpeculative decoding, KV-cache reuse, and quantization on MLX — peak tokens per second.
Foundation models from strategic partners, plus a growing Adapter Store of LoRA adapters.
A Swift-first DSL compiles models, adapters, and tools into one parallelized graph.
A local-first memory layer for AI agents on the Mac — every event becomes part of a living, bi-temporal knowledge base, all on-device.
Learn about MnemosWorking, Core, Episodic, Semantic, Procedural, Resource, and Vault — modeled for what each holds, not one vector blob.
BM25 and dense vectors, fused and reranked, over a bi-temporal graph where facts carry validity windows.
One libSQL file on-device; secrets in a CryptoKit vault behind Touch ID. Nothing leaves the Mac unless you route it out.
The shipping side of MacPaw AI — spanning on-device engines and cloud-scale platforms.
Proactive AI Assistant powered by MacPaw AI
Our AI companion — and the proving ground for the Elix and Mnemos stack we're building.
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AI automation that won’t screw up your critical workflows
A Work AI platform for enterprise automation — reliable, oversight-first workflows.
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Your photo library's second brain
On-device ML that finds blurry shots, duplicates, and stale screenshots — without a pixel leaving your Mac.
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AI-organized folders, on autopilot
Proposes where each file belongs and keeps folders tidy — nothing moves without your OK.
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AI that catches malware before it lands
Mac antivirus with AI at its core — classifies unknown malware fast. Powers CleanMyMac.
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Any text, any voice
Studio-quality text-to-speech for the Mac — 22+ voices, with automatic character detection for multi-speaker scripts.
VisitMacPaw Research open-sources models, datasets, and tooling as they mature. A selection of what is shipping today.
Vision-language model — the perception backbone behind GUIrilla.
View on Hugging Face ↗BLIP-based captioner for macOS icons — drives accessibility labelling across our pipelines.
View on Hugging Face ↗YOLOv11-Large fine-tuned for macOS UI element detection — the backbone behind Screen2AX.
View on Hugging Face ↗Automated macOS UI exploration trajectories for GUIrilla-See.
View on Hugging Face ↗Structured metadata for thousands of Mac App Store apps — our most-downloaded dataset.
View on Hugging Face ↗Annotations for macOS accessibility-tree generation.
View on Hugging Face ↗Tools, ports, and engines MacPaw publishes for the community. Built in the open, on GitHub.
Swift port of Gliner2 — entity recognition on the Mac.
View on GitHub ↗Fast-dLLM diffusion-LLM inference, ported to MLX.
View on GitHub ↗Extract structured accessibility trees from any Mac app.
View on GitHub ↗Automated agent for exploring and testing macOS GUI flows.
View on GitHub ↗Contributing to the field, not racing it. Selected AI research papers from MacPaw Research.
We collaborate, we don't compete. From foundation models to academic research — partnerships are how MacPaw AI ships faster than it could alone.
Our voice AI partner — studio-grade voice cloning and real-time TTS, trusted by Lucasfilm and Sony. Integrated into Mac voice features via Elix.
Our partner for purpose-built small language models that replace expensive LLM calls — fueling the training pipeline behind our Adapter Store.
University collaborations driving co-authored work, internships, and our long-term talent pipeline.

Joint research and internships in on-device inference.

Joint applied-AI research and a steady ML talent pipeline.

Joint research, internships, and a talent pipeline.
Home of our "Bilka Space" AI Lab and an ML scholarship.
Working on a Mac product that needs on-device intelligence? Want to partner, license a model, or talk roadmap? Drop us a line — we read every email.
Email the team → [email protected]Selected coverage of the AI strategy, partnerships, and product launches.