Built for Apple Silicon. Any M-Series Chip. Full Speed Ahead.
Signal Loom AI runs MLX Whisper on any Apple M-series chip — from M1 through M5 Ultra. M1/M2 handles light workloads. M3 Ultra and M5 Ultra crush hundreds of hours of audio per day, at a fraction of cloud API cost.
Apple Silicon isn't just a processor. It's an ML inference advantage.
Apple's M-series chips feature unified memory architecture — CPU, GPU, and Neural Engine share the same high-bandwidth memory pool. MLX Whisper runs directly on this architecture, delivering Whisper-class quality at a fraction of cloud API cost — with privacy built in by design.
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Apple Silicon
M1 · M2 · M3 · M4 · M5
All M-Series Chips
System Requirements
Minimum
MacBook Air M1
8GB Unified Memory
Whisper-tiny, whisper-base ~10x realtime
Good for testing + light use
Minimum
MacBook Pro M1 Pro
16GB Unified Memory
whisper-large-v3-turbo ~80-100x realtime
Real production workloads
Recommended
Mac Studio M4 Max
64GB – 128GB Unified Memory
whisper-large-v3 ~200x realtime+
Unlimited 24/7 production
No reliable internet — on a plane, in a hotel, at a conference with blocked networks.
Signal Loom wins: Full transcription, zero internet required. Process sensitive calls in any location. Cloud APIs fail. Signal Loom doesn't.
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Privacy-Sensitive Content
Healthcare · Legal · Finance
Patient calls, attorney-client meetings, earnings calls with material non-public information.
Signal Loom wins: Audio never touches a third-party cloud. Data never leaves your machine. Full compliance without BAAs or cloud configs.
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AI Agent Developers
Mac Studio or MacBook Pro
Building agents that need audio intelligence. Every API call to a cloud provider logs your audio URL and data.
Signal Loom wins: No cloud logging of your audio URLs, API keys, or content. Your agent's training data and audio sources stay private.
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High Volume / 24/7 Operations
Mac Studio M4 Max — always on
Transcribing call centers, podcasts, interview archives. Cloud API costs scale with every minute. At 10,000 minutes/month, cloud costs $60–240.
Signal Loom wins: Hardware cost + electricity. At 10,000 min/month, Signal Loom costs under $2 in power. Unlimited for $0 additional.
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Enterprise Mac Fleet
IT-managed MacBook fleet
Your company's developer and data science teams already have M-series Macs. Deploy Signal Loom to your existing hardware.
Signal Loom wins: No new cloud infrastructure to procure, configure, or pay for. Use the Macs you already own.
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Podcasters & Content Creators
MacBook or iMac in the studio
Transcribing interviews, generating show notes, creating timestamps for episodes. Cloud APIs charge per minute of audio processed.
Signal Loom wins: One-time hardware cost. Process unlimited episodes. Generate SRT/VTT files for YouTube and podcast platforms instantly.
Signal Loom vs. Cloud API — By Scenario
🍎 Signal Loom AI
Apple Silicon + MLX
VS
☁️ Cloud Whisper API
OpenAI · Google · AWS · Azure
100 min/month
~$0.01 in power
$0.60 – $2.40
1,000 min/month
~$0.10 in power
$6 – $24
10,000 min/month
~$1 in power
$60 – $240
100,000 min/month
~$10 in power
$600 – $2,400
Privacy (audio sent to cloud?)
Never — local only
Every file
Works offline / air-gapped?
Yes — fully offline
No — requires internet
Works on airplane / remote?
Yes — anywhere
No — blocked
API key logging by provider?
No third-party logs
All calls logged
Latency
Zero network latency
50–500ms per request
Cost predictability
Fixed — hardware + power
Variable — usage-based
Have an M-series Mac? You already own the hardware.
Join the beta — run Whisper on your Mac at hardware cost. First 100 users lock in 3-year founder-tier pricing.
macOS required · M1, M2, M3, or M4 chip · No cloud account needed
The bottom line.
If you own a MacBook Pro M1 Pro or better, you already have a world-class speech-to-text machine. Signal Loom AI unlocks it. No per-minute billing. No cloud dependency. No data leaving your desk. Your Mac was always enough. Now it has the software to prove it.