Databook is a technology company.
Databook has raised $71.0M across 3 funding rounds.
Databook has raised $71.0M in total across 3 funding rounds.
Databook is an AI-powered platform for enterprise go-to-market (GTM) teams, specializing in guided selling, account intelligence, and agentic workflows to enhance sales performance. It serves large technology companies like Salesforce, Microsoft, Oracle, and Databricks, solving the challenge of aligning sales solutions with complex buyer pain points through prioritization, prospecting, pipeline generation, strategy development, and meeting preparation. The platform integrates proprietary data, patented algorithms, and third-party sources to deliver unified insights, resulting in reported outcomes such as 1.9x higher average contract values (ACVs), 50% greater productivity, and 2.5x more pipeline for users.[1][3][4]
Founded around 2017 in Palo Alto, California, Databook has raised $66 million in total funding, including a $50 million Series B in 2024 at a $550 million valuation led by Bessemer Venture Partners, fueling growth in agentic AI for sales transformation.[2][5]
Databook emerged in 2017 (with some sources noting early activity from 2015) as a sales intelligence platform founded by co-founder and CEO Anand Shah, alongside CTO Ivan Galea, targeting inefficiencies in enterprise sales and consulting.[1][2][3] Shah and Galea's vision stemmed from recognizing the need for AI-driven tools to handle complex account strategies, evolving from basic web applications for sales proposals and training into a full agentic workflow platform.[2][3]
Early traction built through integrations with sales tech stacks like Salesforce, leading to adoption by elite GTM teams. Pivotal moments include the 2024 Series B funding, which accelerated agentic AI development, and the January 2025 appointment of Paul Daugherty—former Accenture CTIO—to the board, signaling a push toward transformative enterprise sales innovation.[1][2]
Databook stands out in the crowded sales tech market through its focus on enterprise-scale AI:
Databook rides the agentic AI wave in GTM, shifting sales from reactive tools to autonomous, reasoning-driven systems that integrate planning and execution amid lengthening enterprise sales cycles.[1][4] Timing is ideal post-2024 AI hype, as market forces like buyer complexity and data silos favor platforms with proprietary signals and financial/intent-based scoring—addressing the $500B+ enterprise revenue opportunity.[3][4][5]
It influences the ecosystem by enabling "next-level performance" for top vendors, reducing churn risks in B2B AI via scaled intelligence, and supporting cloud/enterprise trends through Bessemer's backing. This positions Databook as a key enabler for GTM transformation, helping firms like Microsoft close larger deals faster.[1][5]
Databook is primed to dominate agentic GTM AI, with Daugherty's addition accelerating innovation in workflows for even larger enterprises. Expect expansion into more verticals, deeper integrations, and AI advancements like enhanced predictive nudges amid rising demand for outcome-tied sales tech. Its trajectory—from $66M-funded startup to boardroom influencer—suggests sustained growth, shaping how elite teams drive revenue at scale in an AI-first sales era.[1][2][3]
Databook has raised $71.0M in total across 3 funding rounds.
Databook's investors include 8-Bit Capital, Alumni Ventures, Amino Capital, Bessemer Venture Partners, BoxGroup, CRV, DFJ, FirstMark Capital, FPV Fund, Gradient Ventures, Haystack, Helium-3 Ventures.
Databook has raised $71.0M across 3 funding rounds. Most recently, it raised $50.0M Series B in February 2022.