Local-First Architecture · Zero Cloud Training

A private AI assistant built for absolute confidentiality.

You shouldn't have to upload your screen recordings, client conversations, and source code to remote servers just to get smart AI answers. Maple is a private AI assistant for work that indexes your knowledge locally on your device—providing full contextual intelligence without exposing your data.

On-device SQLite index · No cloud surveillance · Verified zero-training API agreements

Maple Private AI Assistant doodle illustration PRIVATE AI

The security risks of traditional cloud AI

Most AI tools operate as cloud relays, streaming your confidential business interactions to third-party data centers.

Massive Data Uploads

Screen-recording AI tools that continuously stream video to the cloud consume gigabytes of bandwidth and create centralized honeypots of your sensitive financial and personal records.

Intrusive Recording Bots

Meeting bots that join customer calls make participants uncomfortable, violate internal compliance mandates, and create legal headaches around unconsented recording.

Model Training Exposure

Free chatbots frequently use consumer input prompts to retrain foundation models, creating the risk that your proprietary code or strategies could be reproduced elsewhere.

Maple's four pillars of local AI privacy

Security by architecture, not just by terms of service.

1. Local Index Storage

Your meeting notes, screen text, and project memories are saved inside an encrypted SQLite database on your physical SSD. Your data never rests on a remote server.

2. On-Device Embedding

Vector models run locally using Apple Neural Engine on macOS and hardware acceleration on Windows. Embedding calculations happen without sending text over the internet.

3. Zero Data Training

We do not train models on your queries or workspace content. When you ask a question, only the minimal relevant snippet is forwarded over encrypted channels with zero-retention flags.

Connected Capabilities

Privacy without sacrificing intelligence

Maple proves that you do not need to surrender your privacy to benefit from state-of-the-art AI. Explore how our private desktop architecture powers our other core capabilities:

Screen-Aware AI

Understands your active documents and browser tabs locally without sending video streams to the cloud. Learn more →

Persistent AI Memory

Maintains an encrypted local knowledge graph of your past discussions, meetings, and project milestones. Learn more →

Your workspace, your privacy, your terms.

Experience a private AI assistant designed for engineers, consultants, and founders who value confidentiality.

Get early access