Teamily AI, together with its Agentic AI Infra platform TensorOpera AI, announced the public launch of its Human+AI social platform, a product stack that has already served more than 5 million users around the world. Starting today in Palo Alto and rolling out simultaneously across dozens of countries, this first public launch opens the full stack to everyone with a single mission: to make building and growing a company easy for every person and every team.
“This is the moment we open our doors to the world. We want every person and every team to be able to move from idea to product, from product to market, and from market to growth and investment, with an AI-native team by their side,” said Dr. Aiden Chaoyang He and Professor Salman Avestimehr, Co-founders, Teamily AI.
At its core, Teamily AI enables humans and AI agents to work together inside one AI-native messenger, creating a new way for teams to achieve compounding intelligence and productivity. Instead of prompting a single assistant, users collaborate with teams of agents that can create, coordinate, and automate real work – including writing slides and documents, building webpage-based product prototypes, standing up monitoring dashboards, running marketing and social media campaigns with closed-loop data collection, and more.
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The broader goal is to support companies across the full journey of creation and growth – from idea to product to go-to-market, and through the operational work that follows, including market research, competitive analysis, legal research, financial management, fundraising, customer engagement, and team coordination.
The Journey to Teamily AI
Teamily AI is the result of a four-year journey across four major products: FedML, TensorOpera AI, AgentOpera, and Teamily AI.
The foundation began with FedML, the founders’ first startup, which helped enterprises break down data silos and train AI models on private data without merging or exposing that data. In early 2024, the team launched TensorOpera AI, building on that private model training foundation to deliver enterprise-grade model serving – enabling companies to privately deploy open-source models, customize them with post-training and fine-tuning, and operate them securely in production. In 2025, the team introduced AgentOpera, an agentic AI platform for enterprises, bringing together multi-model and multi-agent orchestration, a memory operating system, MCP connectivity, and tool integration.
Over the past six months, that experience has been productized into Teamily AI. In the last three months alone, Teamily AI completed a major crowdsourced beta with roughly 20,000 registered seed users and several hundred paying customers testing the full platform and contributing a wealth of product feedback.
SOURCE: Teamily AI