Lopus Probe provides a self-service analytics platform that unifies sales, marketing, and product data for business operators. It enables teams to run instant analytics and build live dashboards using natural language queries without requiring SQL knowledge. The platform also features automated monitoring and root cause analysis to surface metric shifts and anomalies immediately.
Funding
Funding not disclosed
Founders
Product
Problem
Sales teams often struggle with scattered deal data and hidden blockers that lead to reactive problem-solving rather than proactive revenue generation. This fragmentation results in missed opportunities, delayed approvals, and the inability to leverage successful sales strategies across the organization.
Solution
Lopus AI provides a deep deal intelligence platform that unifies scattered deal data into coherent "Deal Rooms." The platform's AI models are trained on a company's historical sales data to identify deal blockers, pinpoint hidden stakeholders, and surface actionable insights for faster closing and effective upselling. By replicating successful sales playbooks and providing proactive risk detection, Lopus AI enables sales teams to navigate complex enterprise deals more efficiently and improve win rates.
Target Audience
The primary target audience includes enterprise sales teams, sales operations professionals, and revenue leaders seeking to enhance deal visibility, mitigate risks, and optimize sales performance.
Features
- AI-powered analysis of integrated communication and contract data to create unified Deal Rooms.
- Predictive analytics to identify deal blockers and potential risks by aggregating signals and past customer interactions.
- Stakeholder mapping and multi-threading capabilities to ensure deal momentum.
- Machine learning models trained on historical closed-won and closed-lost deals to replicate successful sales strategies.
- Upsell opportunity identification through cross-referencing deal data and real-time signals.
- Agentic post-deal analysis to identify patterns in successful historical deals for granular attention targeting.
- Automated data aggregation from emails, calls, and contracts to reduce manual data entry.