On the Agently homepage, the pitch is unusually direct: "The workspace where AI knows your business and does the work" [Agently]. The product gives founders an AI team that "plans, executes, and communicates" inside a single workspace with full business context [Agently]. Agently is going after the operator who is currently doing product, sales, and strategy at the same time, and losing hours per week to calendar triage and inbox sweeps [Agently].
The Miami-based company, founded by Maxim Grebenuk, has raised roughly $400,000 in disclosed capital, with Jaime Resendiz and Alexander Polovnikov listed among its backers. Headcount sits at six employees, per PitchBook's 2026 profile. That is a tight team building against a category, AI agent workspaces, that has attracted significant funding in software over the past 18 months.
The bet
Agently's wedge is integration depth at the small-team layer. Against ChatGPT, Agently argues that custom GPTs are "individual chat bots, not integrated agents" [Agently]. Against CrewAI, the framing shifts toward production readiness [Agently]. Against Linear, the pitch is that task tracking has limits and that buyers eventually want "AI that executes work, not just organizes it" [Agently]. Against Zapier and n8n, Agently positions itself as the layer above raw automation [Agently].
The workspace itself is described as a central hub for "agents, knowledge, tasks, documents, integrations, and team" [Agently]. The ICP is founders and operators on teams of roughly two to fifteen people [Agently].
Why it could be big
Small teams are absorbing AI faster than enterprise procurement can move, and the operator persona Agently is courting already pays for a stack of point tools. Agently's argument is that the integration tax across those tools is what an agent workspace is actually for. If that argument holds, the prize is a consolidation play at the SMB layer.
| Competitor | Category | Agently's stated wedge |
|---|---|---|
| ChatGPT | General-purpose AI chat | Integrated agents vs. isolated chatbot [Agently] |
| CrewAI | Developer agent framework | Production-ready, no vendor lock-in [Agently] |
| Linear | Project tracking | AI executes work, not just tracks it [Agently] |
| Zapier | Cloud automation | Agent layer above triggers [Agently] |
| n8n | Self-hosted automation | Agent layer above workflows [Agently] |
The team and traction
Grebenuk, listed as Co-Founder and CEO, holds a Master's degree from the London School of Economics and a Bachelor of Science from King's College London [ZoomInfo]. His prior work history includes a stint at JP Morgan as a Structured Products Trader Assistant and an investment advisor role at Dimensional Fund Advisors. He previously founded Language.tours. Co-founder Alexander Polovnikov is also affiliated with the company per his LinkedIn. With six employees on staff per PitchBook, the operating posture is consistent with a seed-stage company stretching $400,000 across product, design, and early go-to-market.
The honest counterfactual
What bears say: the AI agent workspace category is one of the most contested in software, and several competitors Agently names directly have raised dramatically more capital. A six-person team with $400,000 disclosed is competing for mindshare against companies with two orders of magnitude more runway.
What bulls answer: the integration-first positioning is a real differentiator at the operator tier. Agently's product surface is closer to what a non-developer founder will actually deploy on a Tuesday morning [Agently]. Capital efficiency at six people is also a feature in a category where larger-funded competitors are burning to acquire the same buyer.
What to watch
The next twelve months will turn on three things. First, whether Agently can publish customer logos or usage numbers that move the conversation past product claims into traction. Second, whether the company raises a priced seed round on the back of that traction. Third, whether the integration roadmap deepens enough to make the switching cost from Zapier or a custom GPT genuinely painful for the target ICP of two-to-fifteen-person teams.