How Benchling found AI they could actually trust with their data

Benchling, the R&D cloud for life sciences, evaluated multiple AI vendors before finding Endgame. What set Endgame apart was the depth of integration and data quality that their teams could actually rely on.

The Challenge

Benchling's RevOps team had evaluated many AI vendors, but consistently found them lacking in one critical area: data quality. Most solutions were:

• Shallow on the data side
• Unable to integrate deeply with existing systems
• Producing outputs that teams couldn't trust

The Endgame Approach

Endgame differentiated itself through:

1. Deep Salesforce integration that goes beyond surface-level data
2. Gong integration for complete conversation context
3. Enablement content integration so AI responses reflect company knowledge

The Results

With Endgame, Benchling finally found an AI solution their teams trust:

• Unified data from Salesforce, Gong, and enablement content
• Outputs that reflect accurate, up-to-date information
• Team adoption driven by trust in data quality