Actionable customer context that drives enterprise revenue.
Databook's newest evolution delivers the most advanced GTM reasoning engine, easy-to-deploy agentic workflows, and a composable interface—all backed by an outcome-based commercial model that de-risks the path to AI transformation and revenue growth.
Databook introduces the GTM Decision System: Actionable Customer Context for Enterprise Revenue
Wednesday, September 9, 2026 · 11:00 AM PT / 1:00 PM CT / 2:00 PM ET
Trusted by enterprise sales teams at
Built for the account, not just the deal.
The GTM Decision System connects real-time account intelligence with your internal CRM notes, deal activity logs, and relationship context to continuously anchor on true buyer pain and urgency, turning complex customer context into practical workflows across every stage of the sales cycle. By pairing this patented GTM brain with a headless AI architecture, insights feed directly into your team's preferred workspaces—so smart, recommended actions happen seamlessly. Your entire revenue team stays locked in on the same case for change, while leadership gets complete clarity to track execution and proactively mitigate risk.
Proof the numbers moved for the account — adoption, leading indicators, pipeline impact and value realization, measured against the baseline the outcome model is priced on.
Proof the numbers moved for the account — adoption, leading indicators, pipeline impact and value realization, measured against the baseline the outcome model is priced on.
The same case for change shows up in the apps you choose or design. No new destination app: our Command Center template, your CRM, Slack, Teams, your own front end, or straight through the API and MCP.
The same case for change shows up in the apps you choose or design. No new destination app: our Command Center template, your CRM, Slack, Teams, your own front end, or straight through the API and MCP.
Turns that case for change into the next best move for every GTM team on the account — modular workflows across marketing, sales operations, value engineering and customer enablement, run autonomously or interactively.
Turns that case for change into the next best move for every GTM team on the account — modular workflows across marketing, sales operations, value engineering and customer enablement, run autonomously or interactively.
One verified account truth — why change, why now, why with you. Licensed, proprietary and human-verified third-party data joined with your CRM, calls and planning, every fact carrying source, date and provenance.
One verified account truth — why change, why now, why with you. Licensed, proprietary and human-verified third-party data joined with your CRM, calls and planning, every fact carrying source, date and provenance.
What changes when the whole team runs on verified customer context.
Pipeline grounded in real buyer signals — not CRM hope.
Shape territories around the accounts most likely to buy.
Focus on the accounts with the highest revenue potential now.
Earn and keep C-suite meetings with insight that lands.
New hires reach quota faster when judgment is in the system.
Uncover untapped whitespace and expand into the next initiative.
Average results reported by enterprise Databook customers.
See why our customers love being Powered by Databook.
"Before Databook, creating a compelling executive point of view required extensive time and effort, with results varying by seller. Today, our teams can generate clear, data-driven insights and narratives in minutes, fueling over $500 million in direct sales. Databook has allowed us to modernize our entire sales motion, strengthen our strategic execution, and reshaped how we engage the market."
Michele Hix (Schneider Electric) & Anand Shah (Databook) on building 10x sellers in the AI era.
How Vishal Prashar closed a $5M+ deal — built executive credibility in the first conversation and generated an exec-ready POV in 30% less time.
Simon Langley, Senior Customer Success Executive at a leading cybersecurity and data observability platform.
"Databook has transformed how our teams at Schneider Electric approach account planning and executive alignment. What once took hours of manual research now takes minutes, with account planning cycles accelerated and Executive PoVs developed faster. It’s helped us focus on strategy and uncover new opportunities, including a multi-million dollar deal with a global logistics company."
Eric Wilcox (Precisely) & Anand Shah (Databook) on faster research, executive-ready content, and broader account coverage.
Matilda Ajayi, Associate Account Executive at a leading experience management software provider.
Alessandro Curello, Business Development Representative at a global leader in data integrity software.
"Databook has enabled us to achieve close to a 10x increase in the number of unique customers we’ve been able to access. Adoption across our teams has been seamless, and it really encourages everyone to look across their territory and tap into the insights. When you find solutions that truly add value and integrate easily into your process, like Databook, it becomes an example of how technology and AI can provide a real lift."
Bavesh Patel (Databricks) on building a scalable, intelligent sales process with Databook.
Gavin Edgley (Databricks) & Anand Shah (Databook) on connecting data, AI, and business outcomes at scale.
Tom Germack (SVP Revenue Operations) & Anand Shah (Databook) on scaling guided selling across a global salesforce.
AI transformation services, forward-deployed.
Our engineers, AI strategists and value architects sit inside your team to configure workflows against your accounts — and our AI Bootcamps get sellers working at the frontier on their own live deals.
Prove it in 90 days. Risk free.
We are confident enough in the value our customers see that we will tie our own compensation to yours. We are selective about who we do this with — it works with enterprise revenue organizations genuinely ready to commit to transformation.
Baseline agreed up front: what improvement means, how it is measured, and against what starting point — before anything is deployed.
Forward-deployed engineers, AI strategists and enablement leads embedded with your team from week one, not after signature.