SL
Signal Loom AI
Media In ยท Machine Intelligence Out

Why Local Intelligence Changes Everything

Cloud APIs process your audio. Signal Loom processes your audio on Apple Silicon โ€” privately, predictably, and at hardware cost. Here's the real difference.

Who This Is For
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AI Agent Builders
Building agents that need structured, timestamped, machine-readable audio intelligence โ€” not just human-readable transcripts.
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M-Series Mac Owners
Your Apple Silicon hardware runs MLX Whisper faster than any cloud API โ€” and your data never leaves your machine.
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Privacy-First Enterprises
Healthcare, legal, financial โ€” industries where audio data cannot go to third-party clouds. It stays on your infrastructure.
Cloud API vs. Signal Loom AI
Capability โ˜๏ธ Cloud Whisper API
OpenAI ยท Google ยท AWS ยท Azure
๐ŸŽ Signal Loom AI
MLX on Apple Silicon
Cost & Economics
Per-minute API cost $0.006โ€“$0.024 / min
Scales with usage. No ceiling.
Hardware cost only
No per-minute API billing. Predictable.
Cost at scale (1M min/mo) $6,000โ€“$24,000 / month ~$0.03 / kWh
M4 Pro ~40W at full load = ~$10โ€“15/month
Infrastructure cost predictability Variable โ€” usage-based Fixed โ€” one-time hardware
Privacy & Data Sovereignty
Audio data sent to third-party cloud YES โ€” every file NO โ€” processed locally
HIPAA / data residency compliance Requires BAA + configuration Native โ€” data never leaves
Enterprise audit trail Cloud provider logs only Full self-hosted control
Customer data stays private Governed by cloud ToS 100% under your control
Speed & Latency
Network round-trip latency 50โ€“500ms per request
Depends on file size + connection
Zero network latency
Direct hardware access
M4 Pro processing speed Depends on cloud region ~4,000ร— realtime audio
20s audio in ~4 secondsๅฎžๆต‹
Throughput at scale Rate-limited by plan Unlimited โ€” run 24/7
Output & Intelligence
Word-level timestamps Available but inconsistent Native โ€” every word
Multi-format output (JSON + SRT + VTT + TXT) JSON only โ€” formats extra All four formats โ€” one pass
Structured schema for AI agents Raw transcript โ€” post-processing needed Schema-bound output โ€” machine-ready
Signal Loom Schema (SLS) Not available Signal Loom owns this
Infrastructure
Runs on your hardware No โ€” cloud only Yes โ€” Mac Studio, Mac mini, MacBook Pro
Works offline / air-gapped Requires internet Yes โ€” fully offline
API + SDK for developers Yes Yes โ€” REST API + Python SDK
Webhook delivery Yes Yes
Usage-based billing (Stripe) Yes Yes โ€” tiered plans
For AI Agents: This Is the Missing Layer
AI agents can reason remarkably well โ€” but they're blind to the majority of enterprise knowledge, because it lives in audio and video they cannot structurally interpret. Signal Loom converts raw media into structured, timestamped, machine-readable intelligence โ€” the input format AI agents actually need. Not a transcript. Not a summary. A knowledge object with provenance.
Ready to run Whisper on your Mac hardware?
Join the beta โ€” first 100 users lock in founder-tier pricing for 3 years.
No spam. No pitch decks. Just access.
The honest answer.
Cloud APIs are fine for prototypes. When audio data, cost at scale, privacy compliance, and infrastructure control matter โ€” local intelligence on Apple Silicon wins on every dimension that counts.

Signal Loom AI runs Whisper on your Mac hardware. You own the infrastructure. Your data never leaves.