SellWizr provides a unified data foundation and AI‑driven sales agent that consolidates client and product information from disparate systems for financial institution sales teams. By delivering a single layer of data orchestration, it eliminates the need for engineers to rebuild integration pipelines, enabling reps to act on trusted, real‑time signals instead of spending time reconciling unreliable data.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institution sales teams rely on client and product data spread across multiple, inconsistent systems, resulting in fragmented, duplicate, and outdated information that erodes trust and delays action. By the time signals surface, the sales opportunity may have passed, forcing teams to spend time reconciling data instead of selling.
Solution
SellWizr delivers a unified data foundation built as a context graph that consolidates client and product information from disparate sources into a single, reliable entity model. The platform continuously reconciles and enriches data in real time, providing an action‑ready layer for both human users and AI agents. Integrated AI agents can query the graph to generate deal signals, next‑best‑action recommendations, and automated workflows without hallucinations caused by inconsistent data. Engineering teams can adopt the solution as a ready‑to‑use layer, avoiding the need to rebuild data pipelines, entity resolution, or reconciliation logic. This enables sales organizations to move from reactive data cleanup to proactive, data‑driven coverage and execution.
Target Audience
Primary customers are sales and revenue operations teams at banks, asset managers, and other financial institutions, as well as the GTM engineering groups that build and maintain their sales technology stacks.
Features
- Context graph that creates a canonical, hierarchy‑aware view of clients, accounts, and products across all source systems
- Automated entity resolution and continuous data reconciliation to eliminate duplicates and drift
- Real‑time deal signal generation and next‑best‑action recommendations powered by AI agents
- Plug‑and‑play integration layer for engineering teams, reducing development effort and time‑to‑value
- Actionable API and orchestration layer that supports workflow automation and HITL (human‑in‑the‑loop) processes
- Built‑in data quality monitoring and governance to maintain a single source of truth for revenue teams