Built for Precision, Not Just Conversation
Most voice assistants today are built for casual conversation. They can tell you the weather or play a song, but try asking them to "draft a nuanced legal reply" or "refactor this code block," and they crumble. They lack precision.
Zavi is built differently. We aren't just an LLM wrapped in a microphone. We are building a **Deterministic Voice AGI**.
Under the Hood
1. Signal Processing & Intent Extraction
Before AI can act, it must hear. We use advanced signal processing to filter noise and remove filler words locally. But hearing isn't understanding. Our models extract pure intent from your speech, separating the "umms" and "ahhs" from the actionable commands.
2. The Action Registry
This is our proprietary system that maps verbal intent to specific, deterministic actions. It connects naturally spoken language ("Send this to the dev team") to concrete API calls across 100+ integrations (Slack, Jira, GitHub, Notion). It bridges the gap between the ambiguity of human speech and the rigidity of software APIs.
3. Context Compounding
Zavi learns. It learns your professional vocabulary, your team hierarchy, and your project names. Over time, this creates a deep competitive moat. The more you use Zavi, the better it understands that "Project Alpha" refers to your Q3 marketing launch, not a generic term.
The B2C2B Flywheel
Our strategy is simple: Scalable Utility, Enterprise Intelligence.
- Individual Adoption: Professionals use Zavi's free tier for personal productivity and polished communication.
- Team Expansion: As Zavi becomes a staple, it integrates with internal company knowledge bases.
- The "Action Tax": While transcription is free, high-value autonomous actions represent the future of our business model.
We are building the interface for the next decade. One where technology feels invisible, and your intent is all that matters.