Cloud AI startups face brutal margin compression because every user query burns expensive cloud GPU compute. Because Maple processes transcription and vector indexing locally on consumer hardware, our cost structure is fundamentally different.
Local-first inference flips the unit economics of AI software in favor of both the builder and the end user.
During our development cycle, we are designing our pricing model to be sustainable, transparent, and free of artificial token limits.
Development Tier Structure
- Free Starter: Unlimited local meeting transcription, on-device OCR, and 7-day memory retention.
- Pro ($16/mo): Unlimited memory retention, proactive Routines, priority neural acceleration, and encrypted multi-device sync.
- Team ($24/seat/mo): Shared workspace routines and team admin controls.