NYC AI Startups Raise $95M for Workflow Automation
Two NYC-based AI startups just closed major rounds for automating industry workflows. Sage, focused on eldercare, raised a $65M Series C led by Goldman Sachs. Meanwhile, Lio landed a $30M Series A from a16z to bring agentic AI to enterprise procurement, signaling massive investor appetite for vertical-specific automation.
The investment arms of Goldman Sachs and a16z are not just backing individual startups; they are making strategic plays into the infrastructure of specific industries. Goldman Sachs Alternatives focuses on tangible and alternative assets, while Andreessen Horowitz (a16z) has a stated thesis that AI will "rebuild" everything, creating opportunities to invest in foundational companies across various sectors. Lio's "agentic AI" is designed to act autonomously to manage complex procurement workflows. This means AI agents can handle tasks like identifying vendors, negotiating terms, and managing approvals with minimal human intervention. The founding team, composed of Vladimir Keil, Lukas Heinzman, and Till Wagner, launched Lio after personally experiencing procurement bottlenecks. The NYC area is home to over 2,000 AI startups, with 35 being "unicorns" valued at over $1 billion. This ecosystem is heavily focused on "applied AI," where technology solves specific problems in major industries like finance and healthcare. Companies such as Anthropic, OpenAI, and Google DeepMind are expanding their engineering and product teams in the city. For engineers looking to build, open-source AI agent frameworks like LangChain, AutoGen, and CrewAI provide the foundational tools for creating autonomous systems. These frameworks manage the complexities of connecting large language models (LLMs) to data sources and orchestrating multi-step tasks, allowing developers to focus on application logic rather than infrastructure. Vertical SaaS, which targets niche industry needs, is seen as a significant opportunity, with projected growth rates surpassing traditional enterprise software. These companies solve specific workflow problems and can build strong competitive advantages by leveraging industry-specific data to train AI models. The digitization of industries like construction, manufacturing, and healthcare is expected to create a new wave of successful vertical SaaS startups. For engineers with full-time jobs, side projects offer a practical way to gain experience in new technologies and test business ideas with minimal risk. Platforms like Indie Hackers and Reddit are common launchpads for validating a minimum viable product (MVP) and gathering user feedback before committing to a venture full-time. This approach allows for rapid iteration and learning in a real-world environment.