Cluely
AI meeting assistant providing real-time undetectable assistance for virtual meetings, interviews, and sales calls.
Website: https://cluely.com/
Cover Block
PUBLIC
| Field | Value |
|---|---|
| Name | Cluely |
| Tagline | AI meeting assistant providing real-time undetectable assistance for virtual meetings, interviews, and sales calls |
| Headquarters | New York City |
| Founded | 2025 |
| Stage | Series A |
| Business Model | SaaS |
| Industry | HR / Future of Work |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Series A |
| Total Disclosed | ~$20.3M [Tracxn, 2025] |
Links
PUBLIC
- Website: https://cluely.com/
- LinkedIn: https://www.linkedin.com/company/cluely
- Crunchbase: https://www.crunchbase.com/organization/cluely
- Careers (Ashby): https://jobs.ashbyhq.com/cluely
Executive Summary
PUBLIC
Cluely is a New York based AI meeting assistant that listens to live virtual conversations and surfaces context-aware answers, notes, and follow-ups on the user's screen, and it has moved from viral curiosity to funded enterprise contender in under twelve months [Wikipedia, 2025] [TechCrunch, June 2025]. The company was founded in 2025 by Chungin "Roy" Lee and Neel Shanmugam, both former Columbia students whose earlier interview-assistance project drew disciplinary action from the university and significant press attention [TechCrunch, April 2025]. The current product is positioned as a real-time desktop overlay that transcribes meetings, recalls past transcript content, and provides instant suggested responses during sales calls and interviews [Crunchbase, 2025] [Cluely website, 2025]. Cluely raised a $5.3M seed in April 2025 led by Abstract Ventures and Susa Ventures, followed by a $15M Series A in June 2025 led by Andreessen Horowitz, bringing total disclosed funding to roughly $20.3M [TechCrunch, April 2025] [TechCrunch, June 2025] [Tracxn, 2025]. TechCrunch reported the company at $7M ARR in July 2025, with revenue reportedly doubling in the week following the launch of a new enterprise product [TechCrunch, July 2025]. The team has expanded to a reported 51-100 employees, with Alexa Kayman joining as Chief Revenue Officer in June 2025 [AI Chopping Block, 2026] [Crunchbase, 2025]. Over the next 12 to 18 months the questions worth tracking are whether the November 2025 repositioning away from "cheat on everything" messaging holds with enterprise buyers, whether the ARR growth curve survives the introduction of incumbents bundling similar features, and whether the company can convert prosumer adoption into seat-based contracts at the mid-market and above [Wikipedia, 2026].
Data Accuracy: GREEN -- Confirmed by TechCrunch, Crunchbase, Wikipedia and Tracxn.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series A |
| Business Model | SaaS |
| Industry / Vertical | HR / Future of Work |
| Technology Type | AI / Machine Learning |
| Geography | North America (NYC HQ) |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | ~$20.3M across Seed and Series A |
Company Overview
PUBLIC
Cluely's origin story is unusually public for a company barely a year old. Co-founders Roy Lee and Neel Shanmugam first attracted attention with Interview Coder, a tool intended to help software engineering candidates during technical interviews, an effort that resulted in disciplinary action from Columbia University and a wave of press in spring 2025 [TechCrunch, April 2025] [New York Magazine, 2025]. That episode became the launch narrative for Cluely, which raised a $5.3M seed round in April 2025 led by Abstract Ventures and Susa Ventures, with participation from Soma Capital and others [TechCrunch, April 2025] [Tracxn, 2025].
Two months later, in June 2025, Andreessen Horowitz led a $15M Series A, bringing total disclosed funding to roughly $20.3M and reportedly placing the company at a $120M valuation by September 2025 [TechCrunch, June 2025] [Medium, 2025]. The product's framing shifted notably during this period. Early marketing leaned into the provocative "cheat on everything" tagline, but by April 2025 the company had begun scrubbing references to interview and exam cheating from its website and manifesto, and by November 2025 it had repositioned as a standard AI meeting assistant for sales, customer success, and recruiting workflows [TechCrunch, April 2025] [Wikipedia, 2026].
Key commercial milestones in 2025 include the launch of a dedicated enterprise product in early July, a reported $7M ARR figure later that month, and the hiring of Alexa Kayman as Chief Revenue Officer to build out a go-to-market function [TechCrunch, July 2025] [Crunchbase, 2025]. Headcount has reportedly grown into the 51-100 band by 2026, a fast ramp from the 22-person team referenced in mid-2025 trade press [AI Chopping Block, 2026] [GetLatka, 2025].
Data Accuracy: GREEN -- Confirmed by TechCrunch, Crunchbase, Wikipedia and Tracxn.
Product and Technology
MIXED
Cluely's product is a desktop application that joins virtual meetings as an invisible overlay, transcribes audio in real time, and surfaces suggested answers, talking points, and notes for the user [PUBLIC] [Cluely website, 2025]. The company describes it as a tool that "listens in real time, understands what's being said, and gives you instant answers, notes, and next steps, all while staying completely undetectable on your screen" [PUBLIC] [Cluely website, 2025]. Crunchbase describes the same capability set in more conventional sales-tech language: live, context-aware responses during calls, with the ability to recall information from prior transcripts and surface product details for sales representatives [PUBLIC] [Crunchbase, 2025].
In early July 2025 the company launched a dedicated enterprise product, which TechCrunch reported coincided with a near-doubling of ARR within a week [PUBLIC] [TechCrunch, July 2025]. Public materials do not break out which features are gated to the enterprise tier versus the prosumer tier, so feature-by-feature comparison is not yet possible from open sources [PUBLIC]. Hiring posts for a Founding Designer and a Founding Operations / Generalist suggest the company is still building out core product surface and internal tooling rather than running a mature engineering org [MIXED] [AshbyHQ, 2025] [Vaia, 2025].
The underlying model layer is not publicly disclosed, and Cluely has not stated whether it trains proprietary models or orchestrates third-party foundation models behind the scenes (inferred from the absence of any public technical write-up). The defensibility question therefore rests less on model IP and more on the desktop capture pipeline, latency engineering, and the workflow integrations the company chooses to build around live meetings.
Data Accuracy: YELLOW -- Product claims confirmed by company website and Crunchbase; technical architecture not publicly documented.
Market Research and Opportunity
PUBLIC
Real-time meeting intelligence has moved from a note-taking convenience into a contested category as foundation-model capabilities make live transcription, summarization, and suggested-response generation commercially viable at scale. The category sits at the intersection of three established markets: meeting transcription and notes (Otter.ai, Fireflies.ai, Granola, Read.ai), revenue intelligence and conversation analytics (Gong, Chorus, now part of ZoomInfo), and sales enablement (Highspot, Seismic). Cluely's product framing, a live in-call assistant rather than a post-call summarizer, places it closest to the revenue-intelligence segment in terms of buyer and budget, but closest to the meeting-notes segment in terms of distribution motion and price point.
No independent third-party TAM study covering the "real-time AI meeting assistant" category as defined by Cluely has been surfaced in the cited research. Adjacent and analogous markets give a useful frame: the conversation intelligence segment is widely tracked by analysts as a multi-billion-dollar adjacency to CRM, and the broader sales enablement category has supported multiple multi-billion-dollar outcomes including Gong and Highspot. The growth driver Cluely's own traction implies, ARR reportedly doubling in the week following the July 2025 enterprise launch, suggests latent demand among sales and customer-facing teams for real-time assistance rather than after-the-fact summaries [TechCrunch, July 2025].
Demand drivers visible in the cited research include the normalization of fully remote and hybrid meeting workflows, the maturation of low-latency speech-to-text, and rising employer tolerance for AI copilots in customer-facing roles. Regulatory and macro forces cut the other way. Two-party consent recording laws in jurisdictions including California and the EU create real friction for any tool that captures meeting audio, and the company's early "undetectable" framing was repositioned by November 2025 in part because enterprise buyers are sensitive to disclosure and consent norms [Wikipedia, 2026]. HR and compliance teams are an additional gating function for any deployment that touches recruiting interviews.
| Funding Event | Date | Amount | Lead | Source |
|---|---|---|---|---|
| Seed | April 2025 | $5.3M | Abstract Ventures, Susa Ventures | [TechCrunch, April 2025] |
| Series A | June 2025 | $15.0M | Andreessen Horowitz | [TechCrunch, June 2025] |
Seed Apr 2025 | 5.3 | $M
Series A Jun 2025 | 15.0 | $M
The funding pace, $20.3M raised across two rounds in roughly two months, is unusual even by 2025 AI-tooling standards and signals that investors are pricing the category itself rather than a long operating history [Tracxn, 2025] [TechCrunch, June 2025].
Data Accuracy: YELLOW -- Funding and revenue figures corroborated by TechCrunch and Tracxn; market sizing relies on analogous categories rather than a dedicated third-party report.
Competitive Landscape
MIXED
Cluely is positioned as a real-time, in-call AI assistant in a category where most named competitors built their businesses on post-call notes and summaries.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Cluely | Live, in-meeting AI overlay with undetectable mode and live answer suggestions | Series A, ~$20.3M total | Real-time suggested responses during the call, not just notes after | [TechCrunch, June 2025] [Cluely website, 2025] |
| Otter.ai | Meeting transcription and AI notes, broad prosumer adoption | Late stage, prior raises >$60M reported | Scale of installed base across Zoom, Google Meet, Microsoft Teams | [Crunchbase] |
| Fireflies.ai | AI notetaker and meeting search across recorded calls | Growth stage | Search and knowledge management across historical meetings | [Crunchbase] |
| Granola | AI notepad that augments user-typed notes with model output | Series A reported in 2024 | Designed for individual knowledge workers rather than sales teams | [Crunchbase] |
| Read.ai | Meeting analytics including sentiment and engagement scoring | Growth stage | Behavioral analytics layer on top of transcription | [Crunchbase] |
The segment map has three tiers. Incumbent notetakers (Otter.ai, Fireflies.ai) own the prosumer distribution and a large installed base of recorded meetings, which is a meaningful data asset but is oriented toward retrospective workflows. A second tier of design-led challengers (Granola, Read.ai) is differentiating on UX and analytics rather than on real-time intervention. Adjacent substitutes include the revenue intelligence platforms (Gong, Chorus) that already sit inside enterprise sales orgs and could plausibly extend into live coaching, and the platform owners themselves (Zoom AI Companion, Microsoft Copilot in Teams, Google's Gemini in Meet) who are bundling AI meeting features directly into the conferencing surface where Cluely runs.
Cluely's defensible edge today rests on three things: a real-time UX that incumbents have not prioritized, a brand that punches well above its headcount thanks to viral marketing, and the ability to ship a desktop overlay that does not depend on cooperation from the meeting platform. The first edge is perishable, because Otter, Fireflies, and the platform owners can in principle add live suggested responses, and several have signaled interest. The second edge, brand attention, is real but double-edged given the early "cheat on everything" framing the company has since repositioned [Wikipedia, 2026]. The third edge, platform-independent capture, is the most durable, because it lets Cluely operate identically across Zoom, Meet, and Teams without negotiating partnerships.
The area of greatest exposure is the bundled platform threat. If Zoom or Microsoft makes live AI suggestions a default feature for paying customers, Cluely's standalone value proposition for the median sales user narrows to specialized workflows and verticalized data. A second exposure is HR and procurement risk on the recruiting and interview use case, where consent and fairness norms are tightening and where incumbents that never marketed an "undetectable" mode have a cleaner narrative.
The most plausible 18-month scenario splits along go-to-market execution. Winner if Cluely converts its early ARR ramp into multi-seat enterprise contracts in revenue organizations and builds defensible integrations into Salesforce and HubSpot before the platform owners ship comparable real-time features. Loser if Microsoft Copilot in Teams and Zoom AI Companion ship competent live-suggestion features inside the next two release cycles and procurement teams choose the bundled option for cost and compliance reasons.
Opportunity
PUBLIC
If Cluely executes, the prize is becoming the default real-time AI layer that sits on top of every customer-facing conversation in the enterprise.
The headline opportunity
The single largest outcome is for Cluely to define and own the "live AI copilot for revenue conversations" category in the way Gong defined post-call revenue intelligence a decade ago. The cited evidence makes that outcome reachable rather than aspirational: a $15M Series A from Andreessen Horowitz within two months of seed, a reported $7M ARR by July 2025, and revenue reportedly doubling in the week after the enterprise product launch all suggest the market is pulling product out of the company faster than the company can push it [TechCrunch, June 2025] [TechCrunch, July 2025]. Hitting that outcome requires turning a viral prosumer launch into durable enterprise contracts, which is what the CRO hire and the enterprise-product launch are explicitly oriented toward [Crunchbase, 2025].
Growth scenarios
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Land-and-expand into revenue orgs | Cluely lands inside sales teams as a seat-based copilot, then expands to customer success and support | Salesforce or HubSpot integration plus a marquee mid-market logo | ARR reportedly doubled in a week after the July 2025 enterprise launch, suggesting strong pull from revenue teams [TechCrunch, July 2025] |
| Embedded API for vertical SaaS | Cluely's real-time meeting layer becomes an API that vertical SaaS vendors embed inside their own products | A partnership with a recruiting platform, a telehealth vendor, or a financial advice tool | Platform-independent capture pipeline already works across Zoom, Meet, and Teams [Cluely website, 2025] |
| Recruiting and interview standard | After regulatory clarification on consent, Cluely becomes the standard AI assist layer for structured interviews and candidate scorecards | A clean reposition that emphasizes disclosed, two-sided AI assistance | Founders' deep familiarity with the interview workflow from Interview Coder origins [TechCrunch, April 2025] |
What compounding looks like
The flywheel that turns one win into the next is transcript data plus workflow lock-in. Each meeting Cluely sits inside generates a transcript that improves the user's personal knowledge graph, which makes the next meeting's suggestions better, which raises switching costs at the individual level. At the team level, integrations with CRM systems and shared playbooks turn the copilot into a system of record for what was said and committed during calls, which is the same wedge Gong used to become a category-defining company. The reported one-week doubling of ARR after the enterprise launch is the first public sign that this loop is starting to operate at the team rather than individual level [TechCrunch, July 2025].
The size of the win
A useful comparable is the conversation intelligence category, where Gong was last valued at roughly $7.25B in a 2021 private round and Chorus.ai was acquired by ZoomInfo for a reported $575M in 2021 (scenario, not a forecast). If Cluely captures even a meaningful share of the live-assist segment of that category over the next five years, an outcome in the low-single-digit billions of dollars of enterprise value is consistent with the comparable set, particularly given Andreessen Horowitz's involvement signals appetite for that scale of outcome [TechCrunch, June 2025]. The realistic path to that outcome runs through enterprise contract wins, not through prosumer virality, which is why the next 12 to 18 months of go-to-market execution are the binding constraint.
Data Accuracy: YELLOW -- Opportunity framing draws on confirmed funding and revenue datapoints from TechCrunch; comparables to Gong and Chorus are public but explicitly labelled as scenarios rather than forecasts.
Sources
PUBLIC
[Wikipedia, 2025] Cluely | https://en.wikipedia.org/wiki/Cluely
[Cluely website, 2025] Cluely - Live AI Meeting Assistant | https://cluely.com/
[TechCrunch, June 2025] Cluely, a startup that helps 'cheat on everything,' raises $15M from a16z | https://techcrunch.com/2025/06/20/cluely-a-startup-that-helps-cheat-on-everything-raises-15m-from-a16z/
[TechCrunch, April 2025] Columbia student suspended over interview cheating tool raises $5.3M to 'cheat on everything' | https://techcrunch.com/2025/04/21/columbia-student-suspended-over-interview-cheating-tool-raises-5-3m-to-cheat-on-everything/
[TechCrunch, July 2025] Cluely enterprise launch and ARR reporting | https://techcrunch.com/
[Crunchbase, 2025] Cluely company profile | https://www.crunchbase.com/organization/cluely
[Crunchbase, 2025] Neel Shanmugam profile | https://www.crunchbase.com/person/neel-shanmugam
[Crunchbase, 2025] Alexa Kayman profile | https://www.crunchbase.com/person/alexa-kayman
[Tracxn, 2025] Cluely funding rounds and investors | https://tracxn.com/d/companies/cluely/__Ju-PhvKyO8Kv2MD9Esgxhmh_EB15mxqSDhhJ2zxBqN0/funding-and-investors
[PitchBook, 2025] Cluely company profile | https://pitchbook.com/profiles/company/802998-10
[Yahoo Finance, 2025] Viral AI Startup Cluely Lands $15M From Andreessen Horowitz | https://finance.yahoo.com/news/cheat-everything-viral-ai-startup-084633471.html
[Wikipedia, 2026] Roy Lee (entrepreneur) | https://en.wikipedia.org/wiki/Roy_Lee_(entrepreneur)
[New York Magazine, 2025] Reporting on Roy Lee and AI use at Columbia | https://nymag.com/
[AshbyHQ, 2025] Founding Designer at Cluely | https://jobs.ashbyhq.com/cluely/80353b68-4012-4792-a37f-3037d773f919
[Vaia, 2025] Founding Operations / Generalist at Cluely | https://talents.vaia.com/companies/cluely-inc/founding-operations-generalist-39057233/
[LinkedIn] Cluely company page | https://www.linkedin.com/company/cluely
Articles about Cluely
- Cluely Is Selling Every Sales Rep an Earpiece That Listens to the Whole Call — The New York startup raised $20M from a16z to put real-time AI coaching inside virtual meetings, then pivoted away from its 'cheat on everything' pitch.