Databook
Databook, founded in 2017 and headquartered in the United States, operates as a decision system for enterprise sales, providing verified intelligence and structured reasoning to sales teams.
Profile
Databook provides an AI-powered decision system that analyzes enterprise financial and operational data to help sales teams build strategic narratives, identify key stakeholders, and improve deal outcomes.
Databook, founded in 2017 and headquartered in the United States, operates as a decision system for enterprise sales, providing verified intelligence and structured reasoning to sales teams. The company's platform integrates with CRM systems and public financial data (e.g., 10-K filings) to generate deal-specific insights, such as identifying key decision-makers, mapping value narratives to customer priorities (e.g., opex savings), and tracking deal risk. Its product portfolio includes a CRO dashboard for pipeline visibility, a Value Coach for narrative building, and automated alerts for engagement gaps.
As of mid-2026, Databook claims to be trusted by enterprise sales teams at Microsoft, Databricks, Salesforce, Celonis, Precisely, Schneider Electric, Konica Minolta, and Qlik. A customer testimonial from Konica Minolta's SVP Emil Enstrom states the platform has fueled over $500 million in direct sales. The company has a 4.5-star rating on G2 from over 290 reviews.
Databook has not publicly disclosed its own revenue, funding rounds, or headcount; the most recent financial data in the dossier pertains to unrelated companies (BP, Alphabet, Compass Group, Orange) that use the term 'databook' in their reporting, not the startup itself. This lack of transparency around its own financial trajectory is notable. The company's market position is as a specialized AI tool for enterprise sales, competing with broader CRM analytics and sales engagement platforms.
Who buys this
- Enterprise sales organizations at large technology companies
- Sales teams in industries with complex, multi-stakeholder B2B deals (e.g., IT services, cloud migration, consulting)
- Revenue operations and sales leadership (CROs, VPs of Sales) seeking pipeline visibility and deal risk analytics
- Companies with long sales cycles and high average contract values ($1M+)
Publicly disclosed clients
- Microsoft
- Databricks
- Salesforce
- Celonis
- Precisely
- Schneider Electric
- Konica Minolta
- Qlik
Strengths and what to watch
Strengths
- Directly integrates with public financial data (e.g., 10-K filings) to generate actionable, customer-specific insights for sales teams, reducing reliance on manual research.
- Strong customer testimonials from recognizable enterprise brands (Konica Minolta, Schneider Electric) with quantifiable claims (e.g., $500M in direct sales).
- High user satisfaction on third-party review platforms (4.5/5 on G2 from 290+ reviews), indicating product-market fit among sales professionals.
Watch for
- No public disclosure of the company's own revenue, funding, or headcount, making it difficult to assess financial health or growth trajectory.
- Reliance on a small number of large enterprise logos for credibility; customer churn or loss of a key reference could impact market perception.
- The term 'databook' is also used generically by large corporations (e.g., BP, Orange) for their own financial reporting, which may create brand confusion and SEO challenges.
Key Information
- Industry
- People/Entities
- Founded
- 2017
- Headquarters
- United States
Frequently Asked Questions
What is Databook and what does it do?
Databook is an AI-powered decision system that analyzes enterprise financial and operational data to help sales teams build strategic narratives, identify key stakeholders, and improve deal outcomes. It integrates with CRM systems and public financial data like 10-K filings.
How does Databook help sales teams close deals?
Databook provides deal-specific insights such as identifying key decision-makers, mapping value narratives to customer priorities like opex savings, and tracking deal risk. It reduces manual research by directly integrating with public financial data to generate actionable intelligence for sales teams.
Which companies use Databook?
Notable clients include Microsoft, Databricks, Salesforce, Celonis, Precisely, Schneider Electric, Konica Minolta, and Qlik. These are enterprise sales organizations at large technology companies with complex, multi-stakeholder B2B deals and high average contract values.
What are the key features of the Databook platform?
Databook's product portfolio includes a CRO dashboard for pipeline visibility, a Value Coach for narrative building, and automated alerts for engagement gaps. It also integrates with CRM systems and public financial data to generate deal-specific insights for sales teams.
What do customer reviews say about Databook?
Databook has a 4.5-star rating on G2 from over 290 reviews. A testimonial from Konica Minolta's SVP states the platform fueled over $500 million in direct sales. Users highlight its effectiveness in improving deal outcomes and reducing manual research.
Is Databook financially transparent about its own revenue?
Databook has not publicly disclosed its own revenue, funding rounds, or headcount. This lack of transparency makes it difficult to assess the company's financial health or growth trajectory, unlike its clients which are large public enterprises.
Sources
- databook.com — Company description, product features, customer logos, testimonials (Konica Minolta, Schneider Electric), G2 rating, and claim of $500M in direct sales.
- www.bp.com — BP's use of 'databook' in financial reporting (1Q26 results), illustrating generic industry usage of the term.
- www.sec.gov — Alphabet's Q4 2025 earnings release, confirming the term 'databook' is not used by the company; no Databook-specific financial data found.
- www.compass-group.com — Compass Group's annual report page, showing no Databook-specific information; confirms lack of public financial data for the startup.