Agently
The workspace where AI knows your business and does the work
Website: https://www.agently.dev/
Cover Block
PUBLIC
| Field | Value |
|---|---|
| Name | Agently |
| Tagline | The workspace where AI knows your business and does the work |
| Headquarters | Miami, United States |
| Business Model | SaaS |
| Industry | HR / Future of Work |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Maxim Grebenuk (Co-Founder & CEO) |
| Funding Label | ~$400K disclosed |
Links
PUBLIC
- Website: https://www.agently.dev/
- LinkedIn: https://www.linkedin.com/company/agentlycom
- Application: https://app.agently.dev/auth/login
Executive Summary
PUBLIC
Agently is a Miami-based software company building what it describes as "the workspace where AI knows your business and does the work" [Agently]. The product targets founders and small operating teams that want a single hub where AI agents plan, execute, and communicate across calendar, email, project management, and social channels rather than acting as isolated chat sessions [Agently]. The company is led by co-founder and CEO Maxim Grebenuk, who is based in Miami and was previously associated with J.P. Morgan in structured products and with Dimensional Fund Advisors in an investment advisory role, per his public profile aggregations [LinkedIn] [Clay.earth]. Disclosed external capital is modest at roughly $400,000, with named backers including Jaime Resendiz and Alexander Polovnikov [LinkedIn]. PitchBook lists headcount at six employees, consistent with a pre-traction or early commercial stage [PitchBook]. Public materials position Agently explicitly against ChatGPT, CrewAI, Linear, Zapier, and n8n, suggesting the team is choosing to compete on integrated execution rather than on either model quality or workflow primitives alone [Agently]. Over the next 12 to 18 months the items most worth watching are conversion of integration breadth into measurable retention, the emergence of a defined ICP beyond "founders", and any priced round that would clarify the company's commercial trajectory.
Data Accuracy: YELLOW -- Founder, headcount, and product claims corroborated across LinkedIn, PitchBook, ZoomInfo, and primary site; funding details remain thinly sourced.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Business Model | SaaS |
| Industry / Vertical | HR / Future of Work |
| Technology Type | AI / Machine Learning |
| Geography | North America (Miami HQ) |
| Growth Profile | Venture Scale |
| Founding Team | Solo named founder (Grebenuk) |
| Funding | ~$400K disclosed |
Company Overview
PUBLIC
Agently is a Miami-headquartered software company operating under the agently.dev domain, with a separate corporate-facing reference to agently.com appearing in earlier press around an adjacent real-estate brokerage product [CB Insights]. The current product positioning, captured across the company's homepage, documentation, and blog, is an AI-powered workspace built for founders and small teams that need automation across operating tools rather than another chat interface [Agently]. The founding year is not publicly available in the captured sources, and Agently has not published a formal incorporation date.
The company is led by Maxim Grebenuk, listed across LinkedIn, The Org, ZoomInfo, and Clay.earth as Co-Founder and CEO [LinkedIn] [The Org] [ZoomInfo]. Earlier public references describe an Agently product oriented around real-estate brokerages and sales coaching, with CB Insights summarizing a "business-growth-minded" platform for brokerage partners [CB Insights]. The current agently.dev product reads as a broader operations workspace, suggesting a pivot or expansion from the brokerage-focused origin into a horizontal AI workspace category. Public sources do not document the timing or rationale of that shift.
Key verifiable milestones are limited. Disclosed external funding totals approximately $400,000 with named individual backers Jaime Resendiz and Alexander Polovnikov [LinkedIn]. Headcount is reported at six [PitchBook]. Beyond product surface area documented on the company's own site, no third-party customer announcements, partnership press releases, or revenue disclosures appear in the captured record.
Data Accuracy: YELLOW -- Confirmed by Agently primary site, LinkedIn, PitchBook, and CB Insights; founding date and pivot timeline not in public record.
Product and Technology
MIXED
Agently's product centers on a workspace concept rather than a chat surface. The documentation describes the workspace as "the central hub where everything in Agently lives, your agents, knowledge, tasks, documents, integrations, and team" [Agently] [PUBLIC]. That framing matters because it positions Agently as a system of record for AI work, not a wrapper over a single model API. The homepage promises an "AI team that plans, executes, and communicates" inside one workspace with full business context [Agently] [PUBLIC].
Integration breadth is the most concrete differentiator the company surfaces publicly. Comparison content explicitly contrasts Agently with custom GPTs on the basis that "a custom GPT can't access your calendar, send emails through your account, create tasks in your project management tool, or post to your social media" [Agently] [PUBLIC]. Adjacent posts compare Agently to Linear (where the framing is "AI that executes work, not just organizes it"), to CrewAI (positioning Agently as a managed alternative to a developer framework), and to the Zapier versus n8n debate around cloud orchestration versus self-hosted automation [Agently] [PUBLIC]. The product also publishes an AI Operations Assistant brief aimed at founders running their own calendar, email, tasks, and team coordination [Agently] [PUBLIC].
On the technology stack, the login surface is generated by create-next-app, indicating a Next.js front end (inferred from public source). No public job postings were surfaced, so backend, model routing, and agent orchestration choices are not externally documented. The company publishes a privacy policy and terms of use under the agently.dev domain and references a 60-day informal resolution window before arbitration [Agently] [PUBLIC]. Whether Agently runs proprietary agent infrastructure or composes over third-party model providers is not disclosed in captured sources.
Data Accuracy: YELLOW -- Product claims confirmed by Agently primary documentation; technical stack only partially inferable from public surface.
Market Research and Opportunity
PUBLIC
The market Agently is targeting, AI agents that execute operational work for small teams, is one of the most contested categories in software right now, but it is also one of the youngest. Independent third-party sizing for the specific "AI workspace for founders" segment was not surfaced in the captured research, and Agently itself does not cite a TAM figure in its public materials. The honest framing is that this is an emerging category whose boundaries are still being drawn between general-purpose chat (ChatGPT and competitors), agent frameworks (CrewAI and similar), workflow automation (Zapier, n8n), and project execution (Linear), all of which Agently names as reference points [Agently].
Demand drivers visible in the public conversation favor the category in three ways. First, founder-led and small-team workloads are exactly the segment most willing to substitute software for headcount, which is the explicit pitch of Agently's AI Operations Assistant content [Agently]. Second, integration scope, the ability to act inside calendar, email, project tools, and social channels, is becoming the binding constraint for AI usefulness, a point Agently makes directly in its ChatGPT comparison [Agently]. Third, the broader 2026 "AI tools for small business" framing in Agently's own market-analysis post reflects a real procurement question being asked across two-to-fifteen-person teams [Agently]. None of these tailwinds are unique to Agently, but they are real.
The substitute markets are dense. Horizontal chat assistants (ChatGPT, Claude, Gemini) compete on raw model intelligence and price. Workflow automation (Zapier, n8n, Make) competes on connector breadth. Agent frameworks (CrewAI, LangGraph) compete on developer flexibility. Project execution tools (Linear, Asana, Notion AI) compete on entrenched team habits. Agently's bet is that none of these single categories will win the operations-layer use case alone, and that an integrated workspace can. Regulatory or macro forces specific to this category are limited so far, though enterprise data residency and email-sending compliance (DMARC, SPF) become real constraints as soon as agents act on behalf of a user.
| Reference Category | Named Comparable | Source |
|---|---|---|
| Horizontal chat | ChatGPT | [Agently] |
| Agent framework | CrewAI | [Agently] |
| Project execution | Linear | [Agently] |
| Workflow automation | Zapier, n8n | [Agently] |
The table above is not a market sizing; it is a map of what Agently itself treats as the comparable set. The analyst takeaway is that the company has chosen a wide reference frame, which is honest about the competitive surface but also raises the bar on differentiation: Agently must outperform on integration and execution simultaneously, since each named comparable already wins on at least one dimension.
Data Accuracy: ORANGE -- No third-party TAM figures captured; competitive framing drawn from Agently primary content.
Competitive Landscape
MIXED
Agently positions itself at the intersection of four mature or fast-maturing categories, and its competitive story depends on whether an integrated workspace is genuinely a fifth category or a thin layer over the other four.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Agently | AI workspace for founders, integrated execution | ~$400K disclosed | Single hub for agents, knowledge, tasks, integrations | [Agently] [PitchBook] |
| ChatGPT (OpenAI) | General-purpose chat and custom GPTs | Late-stage, multi-billion funded | Frontier model quality and consumer distribution | [Agently] |
| CrewAI | Open-source multi-agent framework for developers | Venture-backed | Code-level control, no vendor lock-in | [Agently] |
| Linear | Modern issue tracking and project execution | Late-stage SaaS | Entrenched developer team workflow | [Agently] |
| Zapier | Cloud workflow automation | Profitable, large installed base | Connector breadth across thousands of apps | [Agently] |
| n8n | Self-hosted workflow automation | Venture-backed open source | Self-hosting, cost control, flexibility | [Agently] |
The segment-by-segment map runs roughly as follows. In the chat segment, ChatGPT is the incumbent and Agently is explicitly a challenger arguing that integrated execution beats prompt-and-paste. In the agent-framework segment, CrewAI is the developer-first option and Agently positions as the managed alternative for non-developers. In the execution segment, Linear is the incumbent for engineering teams and Agently argues for AI that does work rather than tracks work. In the orchestration segment, Zapier and n8n are the incumbents and Agently does not directly compete on connector count but on agent-driven decisioning above the connectors.
Where Agently has a defensible edge today, the honest answer is workspace design and ICP focus. The company has chosen a specific buyer (the founder running operations themselves) and a specific shape of product (one hub, full context). That focus is a real edge against horizontal players who must serve every persona, and it is the kind of edge a small team can compound through product velocity. Whether the edge is durable depends on whether founders actually consolidate onto a single workspace rather than continuing to mix ChatGPT for thinking, Zapier for piping, and Linear for tracking. The edge is perishable if any one of those incumbents ships a credible agent layer of its own, which all three are visibly attempting.
Where Agently is most exposed is distribution and capital. ChatGPT has hundreds of millions of users to upsell. Zapier has a decade of SEO and partner ecosystem. Linear has a developer-culture brand that is hard to dislodge. With approximately $400K disclosed and six employees, Agently cannot outspend any of these on go-to-market and must win on product wedge and word-of-mouth among founders [PitchBook] [PUBLIC]. The most plausible 18-month scenario: a winner emerges if Agently captures a tight founder community (a YC batch, an Indie Hackers cohort, a regional accelerator network) and turns that into reference-driven growth. The loser scenario is one in which OpenAI or Anthropic ship native calendar, email, and project actions inside their consumer products, collapsing the wedge before Agently raises a priced round.
Data Accuracy: YELLOW -- Competitor names confirmed from Agently primary comparison content; competitor stage characterizations are general industry knowledge.
Opportunity
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If Agently executes, the size of the prize is the operations layer for every founder-run and small-team company on earth, a category that does not yet have a default brand.
The headline opportunity
The single largest outcome Agently could plausibly become is the default operations workspace for two-to-fifteen-person teams in the AI era, the place where founders run their week and where their first operations hire onboards rather than into a stack of ten disconnected tools. The cited evidence that this outcome is reachable rather than aspirational is threefold: founders are demonstrably the earliest adopters of agentic software, integration breadth is now a stated buying criterion in Agently's own market write-up [Agently], and no incumbent in chat, automation, framework, or execution has yet shipped a credible unified workspace for this buyer. The category is open. Whoever defines it first has a meaningful chance of owning the noun.
Growth scenarios
The path from six-person company to category-defining platform runs through a handful of named bets.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Founder-community wedge | Agently becomes the default workspace for solo and small-team founders | Adoption inside an accelerator cohort or founder community | Product is explicitly designed for founders managing calendar, email, tasks themselves [Agently] |
| Brokerage and SMB vertical | Agently expands the original brokerage angle into vertical SMB workflows | Renewed traction in real-estate operations [CB Insights] | Earlier product iteration already had a brokerage-facing wedge with documented positioning |
| Integration platform | Agently becomes the agent layer that sits above existing calendar, email, and PM tools | Deep partnerships with Google, Microsoft, or a PM vendor | Comparison content already frames Agently as integration-first against ChatGPT [Agently] |
What compounding looks like
The flywheel for an operations workspace is workspace gravity: every document, integration, agent, and piece of business knowledge added to the workspace raises the cost of leaving. Agently's documentation explicitly describes the workspace as the hub for "agents, knowledge, tasks, documents, integrations, and team" [Agently], which is the architectural shape of a future data moat if usage compounds. A second compounding loop is agent quality, where each customer's corrections and approvals improve agent behavior in that workspace, creating a per-account moat that horizontal chat products structurally lack. Public evidence that either flywheel is already turning is not yet available; this is opportunity, not traction.
The size of the win
Credible comparables in the workspace category include Notion (last reported private valuation in the multi-billion-dollar range) and Linear (a category-defining execution tool with a reported nine-figure valuation), both of which started as opinionated tools for small teams before expanding upward. If Agently were to occupy the AI-native operations workspace position with comparable category leadership, the implied outcome would sit in the same order of magnitude (scenario, not a forecast). The realistic near-term milestone is far more modest: a defined ICP, a few hundred paying workspaces, and a priced round that converts the current angel-funded posture into institutional capital.
Data Accuracy: YELLOW -- Scenarios grounded in Agently primary positioning; comparable valuations are general market context, not Agently-specific forecasts.
Sources
PUBLIC
[Agently] Agently Home | https://www.agently.dev/
[Agently] Agently, a ChatGPT Alternative for Business | https://www.agently.dev/blog/agently-chatgpt-alternative
[Agently] Agently, a CrewAI Alternative | https://www.agently.dev/blog/agently-a-crewai-alternative
[Agently] Agently, a Linear Alternative - Comparison Guide | https://www.agently.dev/blog/agently-linear-alternative
[Agently] AI Operations Assistant: How AI Handles the Work That Keeps Companies Running | https://www.agently.dev/blog/ai-operations-assistant
[Agently] Workspace Management | https://www.agently.dev/docs/workspace-management
[Agently] Best AI Tools for Small Business: A Practical Shortlist for 2026 | https://www.agently.dev/blog/best-ai-tools-for-small-business
[Agently] Zapier vs. n8n - Comparison Guide | https://www.agently.dev/blog/zapier-vs-n8n
[Agently] Terms of Use | https://www.agently.dev/terms-of-use
[Agently] Privacy Policy | https://www.agently.dev/privacy-policy
[LinkedIn] Maksims Grebenuks profile | https://www.linkedin.com/in/maximgrebenuk/
[LinkedIn] Agently company page | https://www.linkedin.com/company/agentlycom
[LinkedIn] Jaime Resendiz profile | https://www.linkedin.com/in/jaimersndz12/
[LinkedIn] Alexander Polovnikov profile | https://www.linkedin.com/in/aleksandrpol/
[The Org] Maxim Grebenuk - Co-Founder & CEO at Agently.ai | https://theorg.com/org/agently-ai/org-chart/maxim-grebenuk
[PitchBook] Agently 2026 Company Profile | https://pitchbook.com/profiles/company/483645-97
[ZoomInfo] Maxim Grebenuk profile | https://www.zoominfo.com/p/Maxim-Grebenuk/1992247084
[Clay.earth] Maxim Grebenuk profile | https://clay.earth/profile/maxim-grebenuk
[CB Insights] Agently company profile | https://www.cbinsights.com/company/agently
Articles about Agently
- Agently Wants Every Solo Founder's Calendar, Inbox, and Task List Run by One AI Team — The Miami startup is selling a workspace where AI agents act on calendar, email, and project tools, with $400K disclosed and six employees on staff.