Actively AI

Actively AI, based in New York, is building what it calls GTM superintelligence, an AI foundation that reasons about a company's entire market to decide which accounts to engage, when, and how, rather than simply automating outreach. Founded in 2022 by former Stanford AI researchers Mihir Garimella, its chief executive, and Anshul Gupta, it raised a forty five million dollar Series B in April 2026 co led by TCV and First Harmonic, with Bain Capital Ventures and First Round Capital, bringing total funding to sixty eight million dollars. Its bet is that while coding, support, and legal have been transformed by AI, sales, the most expensive function in most companies, has not, and that the next winning revenue orgs will run on models that outperform human led decisions.

Rather than another point tool bolted onto the stack, Actively introduces a new primitive: a persistent Per Account Agent for every account, operating around the clock across a company's entire total addressable market with full context on what is happening in the sales organization. It trains a custom reasoning model for each company, on par with its top sellers, that analyzes millions of signals including call transcripts, notes, custom Salesforce fields, and the web to form hypotheses about the best prospects, the right timing, and the plays needed to win. The agents monitor signals, prioritize accounts, research and prep meetings, surface risks and growth opportunities before anyone looks for them, and draft tailored outreach, then present finished work ready to act on. Because intelligence lives at the account level, it compounds over time and gets smarter every quarter, and teams can embed that agent work into any tool, workflow, or internal application and ship new use cases in days.

Actively is built for strategic, multi segment revenue teams and is deployed at companies like Ramp, Ironclad, Attentive, and Samsara, where its agents span sales, account development, revenue operations, and customer success across a thousand person go to market org. It runs as a cloud platform, trains its own reasoning models rather than offering a choice of provider, and gathers signals from the web rather than driving a browser to operate applications. For an enterprise revenue team that wants an always on intelligence layer to cover its whole market and reason like its best sellers, Actively is a strong and differentiated fit; a small team wanting a simple sequence bot, a self serve tool, or a self hosted, model flexible platform will find it an enterprise superintelligence rather than a point solution.