AI-First Software Company
Shalil is building a proprietary real-time voice AI SDK and platform for mobile apps. Speech in, intent out, action taken — in the time it takes to finish a sentence.
Our Product
Shalil is building a proprietary real-time voice AI SDK and platform for mobile apps. The SDK, platform, and orchestration layer are developed and owned by Shalil; integrating apps install the SDK and configure their available actions through a published API. Our bet is simple: the next generation of mobile software is conversational, and the apps that get there first will feel like everything before them was a clumsy detour.
Products
Real-Time Voice AI Framework
A drop-in framework that brings real-time, conversational voice AI inside mobile apps — starting with iOS, with Android to follow.
The Problem
Mobile apps are still driven by taps, forms, and menus. Users know what they want, but getting there means hunting through screens. Existing voice assistants are generic, slow, and disconnected from the app a user is actually in.
Our Solution
An embedded voice AI layer that listens, understands intent in real time, and takes defined actions on behalf of the user — directly inside the host app. Integrating apps declare their available actions through the SDK's API; the platform handles speech, understanding, and orchestration end to end.
How It Works
- Listen: Low-latency, on-device-friendly speech capture with natural turn-taking
- Understand: Frontier LLMs map free-form speech to user intent and parameters
- Act: The framework invokes app-defined actions and confirms results back to the user by voice
Key Features
- Real-time, full-duplex voice interaction
- Native iOS SDK first; Android support on the roadmap
- Simple action registration — apps declare what they can do, the SDK handles the rest
- Intent understanding powered by frontier LLMs
- Designed for production apps: low latency, privacy-aware, and resilient to noisy environments
Per-App Model Optimization
Generic frontier models are powerful but heavy. The platform's optimization layer automatically specializes the underlying speech and language models based on the actions and vocabulary each integrating app declares. The result: lower latency per turn, lower cost per session, and noticeably better accuracy on the things users actually say and do.
In DevelopmentTeam
Ali Sayyah
Founder & CEO
Experienced technology leader with a background in building and scaling software products. Passionate about leveraging AI to create consumer products that make a real difference in people's lives. Previously held senior engineering and product roles at leading tech companies.