liquid-ai

Enterprise-grade AI agent platform automating sales, customer service, HR, and other business processes

An AI development and MLOps platform for customizing, deploying, and continuously optimizing large language models.

Defense Situational Awareness Platform integrating multi-domain sensor data for threat detection and tracking

Sales automation platform that handles appointments, customer follow-ups, and syncs calendars with CRM systems.

Prompt engineering tool that transforms simple ideas into structured instructions and generates diverse prompt types

Enterprise agent deployment platform supporting autonomous decision-making and multi-task automation.

Nexa AI is a comprehensive on-device AI model hub and inference framework designed to enable developers and enterprises to locally deploy and run over 700 quantized AI models on a wide range of edge devices. It supports multiple modalities including text, vision, and audio, and is optimized for CPUs, GPUs, and NPUs across platforms such as Windows, macOS, Linux, Android, and iOS. By eliminating cloud dependency, Nexa AI emphasizes privacy, low latency, and cost efficiency, while providing tools like the Nexa SDK for seamless one-line deployment and hardware acceleration. The platform also fosters a collaborative community for model sharing and development support, making on-device AI practical and scalable.

Mentra Smart Glasses is a cutting-edge open-source wearable device that brings AI directly into the user's field of view. Equipped with a 13-megapixel camera, multiple microphones, stereo speakers, and a lightweight frame, these glasses run on AugmentOS—a universal operating system that enables developers to seamlessly build and deploy AI applications and agents. The platform supports real-time translation, subtitles, AI assistance, notifications, and live streaming, making it a versatile, programmable smart glasses solution for both consumers and developers.

Emergent is a cutting-edge AI platform that leverages autonomous coding agents to automate complex internal software engineering tasks, including code migration, refactoring, and modernization. Founded by industry veterans from Google, Amazon, and Dropbox, and backed by Y Combinator, Emergent's AI agents excel at writing, maintaining, and testing large-scale codebases, reducing development cycles from months to days. This enables enterprises to efficiently scale and maintain their software infrastructure while improving code quality and test coverage.

Alibaba's Qoder transforms software development by enabling AI agents to understand complex codebases and independently plan, write, test, and deliver production-ready code. It supports natural language task delegation, deep contextual understanding, adaptive learning of programming styles, and integrates multiple top-tier AI models, automatically selecting the best model for each task. Ranging from assisted pair programming for simple tasks to fully autonomous coding for comprehensive projects, Qoder significantly enhances developer efficiency and software quality.

Bind AI is an advanced AI-powered Copilot designed to help developers and teams generate, edit, and execute code across more than 72 programming languages. The platform integrates over 15 cutting-edge AI models, including Claude 3.7 Sonnet and GPT-4o, delivering high-quality code generation, debugging, and automation capabilities. Featuring a built-in integrated development environment (IDE), it supports code authoring, execution, and real-time preview. Bind AI enables seamless integration with GitHub and Google Drive, allowing easy synchronization of code repositories and documents for personalized AI assistance. The platform also supports collaborative AI assistant creation and workflow automation, making it suitable for use cases in marketing, sales, and support.

Boundary BAML is a programming language specifically designed for LLM prompt engineering, enabling developers to easily write structured, type-safe prompts and obtain validated, structured data output. Supporting any LLM, programming language, and schema, it offers features such as auto-completion, real-time preview, and powerful parsing capabilities that automatically correct LLM output errors. BAML significantly enhances development efficiency by integrating prompt logic directly into code editors like VSCode without complex configurations, allowing LLMs to be invoked just like local functions while ensuring structured and type-safe outputs.