Explore 1572+ AI Developers (page 56)
HostedClaws
HostedClaws builds AI-powered personal assistants that automate email, calendar, and task management for businesses. The platform enables users to deploy their own private AI assistant through Telegram in just 5 minutes with no technical skills required. HostedClaws also offers enterprise solutions with custom AI agent setup, multi-agent orchestration, and dedicated support for organizations.
Figrfast Systems Private Limi…
Figrfast Systems builds Figr, a product-aware AI design platform that helps product managers and designers think through UX decisions before prototyping. The platform ingests existing product context including screens, analytics, and design systems to generate flows and interfaces that match the product's visual language. Trusted by over 500 teams including Freshworks, Razorpay, Zoho, and Toptal, Figr differentiates itself by focusing on UX reasoning rather than generic screen generation.
Subterranean
Subterranean builds an AI-powered app development platform that acts as a technical co-founder. The company provides a full-stack solution combining AI assistants, visual editing, built-in database, authentication, and one-click deployment. Based in NYC, Subterranean enables both non-coders and developers to rapidly build and ship complete applications.
Synra
Synra builds managed MCP gateway infrastructure that connects AI assistants to databases securely. The company provides a cloud-hosted solution that eliminates the complexity of local MCP server configurations while enforcing security best practices like read-only access and credential encryption.
woocassh
woocassh builds open-source tools for AI agent management. The developer created VidClaw as a self-hosted dashboard to manage OpenClaw agents after finding chat-based management too chaotic. The project focuses on visual task queuing, usage tracking, and agent personality customization.
matt1398
matt1398 develops claude-devtools, an open-source desktop application for inspecting Claude Code sessions. The project provides developers with complete visibility into AI coding assistant activity through session log analysis.
Alibaba Cloud
Alibaba Cloud builds and operates the largest cloud computing platform in China and Asia Pacific. The company provides a comprehensive suite of cloud services including computing, storage, database, networking, and AI/ML solutions. Alibaba Cloud develops the Qwen series of large language models and the Wan video generation models, offering enterprise-grade AI infrastructure through Model Studio.
ggml-org
ggml-org develops high-performance machine learning inference libraries in C/C++. The organization maintains llama.cpp, one of the most popular open-source projects for running large language models locally. The team focuses on creating efficient, portable implementations that enable AI inference across diverse hardware platforms without heavy dependencies.
Apple ML Explore
Apple ML Explore develops open-source machine learning tools and frameworks optimized for Apple Silicon. The team builds MLX, a NumPy-like array framework designed for efficient machine learning on Apple devices, along with companion libraries like MLX LM for language models. Their work focuses on enabling developers to run and train ML models locally on Mac hardware with high performance.
Prince Canuma
Prince Canuma develops open-source machine learning tools focused on Apple Silicon optimization. The MLX-VLM project brings vision language model capabilities to Mac users through the MLX framework. The developer contributes to the broader MLX ecosystem with tools that make advanced AI accessible on consumer hardware.