Every team has a story. None of them match.

Yes. Upside is SOC 2 Type 2 certified and uses enterprise-grade security and encryption standards. Your data security is our highest priority, and we maintain strict compliance to protect it.

Typically within days, depending on the speed of your initial sync. Most customers see valuable insights and recommendations in under a week. Integration is straightforward, requiring minimal effort from your internal ops.

Yes. Upside is specifically designed to handle chaotic, incomplete, and inconsistent GTM data. Our next-generation, AI-powered approach automatically reconciles duplicates, maps identities, and uncovers hidden touchpoints, requiring zero manual cleanup from your team.

With in-house resources for AI query tuning, graph database theory, and complex entity resolution, it might be possible. But we've found there is often value to bringing in an established third-party source of truth that all internal teams can rally behind, and Upside provides immediate value within days—not months or years—without burdening your internal ops.

A GTM knowledge graph is a unified data layer that connects all your go-to-market systems—CRM, marketing automation, sales engagement, customer success, and more—into a single, coherent model of what actually happened. Unlike a data warehouse that just stores tables, a knowledge graph understands relationships between people, accounts, touchpoints, and outcomes, enabling insights that siloed tools can't provide.

CDPs unify customer profiles but rely on rigid schemas and can't interpret the messy, unstructured data where most GTM signal lives. BI tools visualize data but can't reconcile conflicting sources or understand causality. Upside is purpose-built for GTM: we reconstruct truth from incomplete signals, resolve entities across systems, and use AI to surface what actually matters—not just what's easy to chart.

Upside answers questions across the entire GTM lifecycle: What influenced this deal? Why did these accounts churn? Which campaigns actually drove pipeline? What do our best reps do differently? Why is our forecast always wrong? How should we allocate budget next quarter? If it requires understanding what happened across your GTM motion, Upside can help.

Upside serves the full revenue organization. CMOs use it to understand true campaign impact. CROs use it to diagnose pipeline health and deal risk. RevOps uses it as a trusted foundation that ends data reconciliation debates. CS leaders use it to understand expansion and churn drivers. Executives use it for board-ready insights without weeks of manual analysis.

Insight Engineering is our engagement model for delivering high-leverage projects on top of your GTM knowledge graph. Once your data is unified, our team can help you build tailored outputs—board decks, custom models, reverse ETL flows, mini-apps—in days instead of months. Think of it as a way to move fast and get answers now, without fighting to free up internal resources.

Instead of looking just of the captured existing data in your systems, a forensic attribution model reconstructs what happened from signals, and re-creates inferred touchpoints when needed for use in the attribution investigation of what happened.

No. Upside is designed to work with messy, incomplete data—that's the whole point. We don't require CRM hygiene projects or process changes before you can see value. Our AI-powered approach reconstructs truth from the signals that already exist in your systems. Most customers see meaningful insights within days of connecting their first integration.