Nooks vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Nooks

ChallengerSales & Revenue

AI Sales Dialer & Prospecting

AI Sales Assistant Platform for SDR teams: parallel dialing, AI prospecting, and real-time call coaching. Raised $70M total; 4x YoY revenue growth; G2 Leader in Auto Dialer for 4 straight quarters.

About

Nooks is an AI Sales Assistant Platform (ASAP) founded in 2020 by Stanford alumni and headquartered in San Francisco. The company raised $70 million in total venture funding including a $43 million Series B led by Kleiner Perkins. Nooks has achieved 4x year-over-year revenue growth and expanded to 90 employees by end of 2025, earning G2 Leader status in the Auto Dialer category for four consecutive quarters.\n\nNooks has evolved from a parallel dialer and virtual sales floor into a comprehensive platform with three AI-powered pillars: the AI Dialing Assistant (power and parallel dialing with automatic bad number detection and voicemail drop), the AI Coaching Assistant (call transcription, performance scoring, and AI-driven role-play for rep development), and the AI Prospector (account research, buying-signal detection, list building, and personalized email drafting). Together these tools automate the most time-consuming parts of sales development work.\n\nThe platform is especially popular with SDR-heavy organizations that need to maximize call volume and conversion rates while simultaneously coaching reps. Nooks competes with Orum, Dialpad, and traditional parallel dialers but differentiates through its all-in-one workspace that combines dialing, prospecting intelligence, and coaching in a single interface—reducing the tool sprawl that plagues modern SDR teams.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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