Gong Is Changing How Pharma Sales Teams Listen, Learn, and Win Deals
What is Gong? Gong.io is a revenue intelligence platform that captures and analyses customer interactions across calls, meetings, and emails to provide actionable insights. By leveraging AI, Gong helps sales teams understand what drives success, replicate best practices, and optimise their sales processes. The platform offers features like conversation analytics, deal intelligence, and market insights, […]
Feature Categories
What is Gong?
Gong.io is a revenue intelligence platform that captures and analyses customer interactions across calls, meetings, and emails to provide actionable insights. By leveraging AI, Gong helps sales teams understand what drives success, replicate best practices, and optimise their sales processes.
The platform offers features like conversation analytics, deal intelligence, and market insights, enabling teams to make data-driven decisions and improve performance. Gong's AI-driven approach helps organisations enhance sales effectiveness, predict outcomes, and accelerate growth.
Why Leading Healthcare Teams Trust Gong
- ISO 42001-certified for AI management systems, purpose-built for revenue teams with dedicated governance team focused on ethical AI use
- Multiple compliance certifications including ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC2 Type II, and GDPR compliance
- Certified with EU-U.S. Data Privacy Framework and maintains PCI, HIPAA, FedRAMP, and CSA Star Level 1 compliance
- Raised $584 million total funding across 7 rounds, achieving $7.25 billion valuation in Series E funding led by Franklin Templeton
- Surpassed $300 million ARR in fiscal year 2025 with over 4,000 customers, demonstrating strong market traction
- Named to Inc.'s 2024 Best in Business list in AI & Data category and winner of 2025 BIG Innovation Awards
- Enterprise-grade security architecture with data protection, recovery protocols, and customer data control guarantees
- Customer data is never used to train generative models, with clear model oversight and human validation processes
- Cloud Security Alliance STAR Registry inclusion with internationally recognized security standards compliance
- Dedicated Trust Center with transparency reporting and continuous security monitoring via SafeBase partnership
- Audited by EY for SOC2 Type II compliance, providing third-party validation of security practices
- Reality Platform engineered specifically for enterprise-grade security while maintaining customer data sovereignty
Top 3 Pain Points Gong Fixes in Healthcare
| Problem | How Gong Solves It |
|---|---|
| 1. Inaccurate sales forecasting | Analyses messaging signals and deal engagement to improve forecast precision. |
| 2. Lack of actionable coaching insight | Automates review of calls, emails, and meetings, identifying objection cues, top performance patterns, and enabling scalable coaching. |
| 3. CRM data gaps & manual entry burden | Captures all customer interactions and syncs them to CRM automatically, reducing admin load and improving data integrity. |
Feature Category Summary: Gong
| Feature Category | Summary | Association (YES, NO, NA) |
|---|---|---|
| Regulatory-Ready | Gong documentation and independent reviews emphasize enterprise security, SOC 2 and ISO 27001 certifications, GDPR/CCPA support, consent workflows, and audit trails for conversation data, but there is no explicit claim of FDA/EMA GxP, 21 CFR Part 11, or Annex 11 compliance or marketing as a validated GxP system. No public documentation found that it is regulatory‑ready for pharma validation or GxP use. | NA |
| Clinical Trial Support | Gong is positioned around sales, customer success, and revenue operations; product and training content do not mention protocol design, patient recruitment, site monitoring, ePRO, or regulatory trial reporting. No public documentation found for CTMS/EDC functionality or explicit clinical‑trial support workflows. | NA |
| Supply Chain & Quality | The platform records and analyzes sales and customer calls, not manufacturing or logistics data; there is no mention of GMP manufacturing QA, serialization, or counterfeit‑detection features in pharma supply chains. No public documentation found for supply‑chain or manufacturing‑quality capabilities. | NA |
| Efficiency & Cost-Saving | Gong states that its AI analyzes calls, measures soft skills, and surfaces coaching opportunities so managers can coach at scale, reduce time spent manually reviewing calls, and improve rep performance. Reviews also note that automating note‑taking and insight extraction cuts non‑selling time for reps, which is explicit evidence of efficiency and cost savings in coaching and sales‑enablement workflows (though not healthcare‑specific). | YES |
| Scalable / Enterprise-Grade | Gong is marketed as an enterprise conversation‑intelligence platform with multi‑layered compliance and security, SOC 2 Type II and ISO 27001 certifications, SSO/IdP integrations, and deployments across large global enterprises. However, while it serves some healthcare customers, there is no explicit evidence of large pharma/biotech eQMS‑type deployments; its enterprise proof is in sales/revenue organizations generally, not specifically pharma. | NA |
| HIPAA Compliant | Gong’s security and compliance FAQ states that it is SOC 2 Type II compliant and that it supports HIPAA compliance, being willing to operate under HIPAA requirements for healthcare organizations. Third‑party analyses likewise describe Gong’s platform as designed to meet major regulatory requirements including HIPAA, which is explicit evidence it can be deployed in HIPAA‑regulated environments. | YES |
| Clinically Validated | Gong is not a diagnostic or clinical decision‑support tool; there are no clinical studies or regulatory submissions demonstrating impact on patient outcomes or clearance as a medical device. No public documentation found for clinical validation tied to healthcare endpoints. | NA |
| EHR Integration | Gong integrates with CRMs and communication tools to capture sales calls, but documentation and reviews do not mention integration with EHR/EMR systems such as Epic or Cerner, or the use of HL7/FHIR. No public documentation found for EHR or clinical‑system integration. | NA |
| Explainable AI | Gong describes using dozens of proprietary AI models to detect “buying signals,” topics (e.g., pricing, competitors), and sentiment and to explain which behaviors correlate with success versus failure in sales conversations, but this is presented as performance analytics rather than formal, regulator‑oriented explainable‑AI tooling. There is no clear description of user‑facing model‑explanation dashboards or standardized XAI methods (e.g., SHAP/LIME) framed as transparency features, so explicit explainable‑AI evidence is lacking. | NA |
| Real-Time Analytics | Gong processes call recordings after completion and, according to independent analysis, has a 5–10 minute lag before analytics and dashboards update, with no live guidance or immediate feedback. This explicitly indicates that it does not provide real‑time analytics or live decision support, so the real‑time criterion is not met. | NO |
| Bias Detection | Gong AI scoring documentation notes that its models can exhibit bias (e.g., a bias toward answering “yes”) and describes internal safeguards, but there is no feature set for detecting or reporting algorithmic bias across demographic or clinical sub‑cohorts, nor marketing around fairness dashboards. No public documentation found for systematic bias‑detection or fairness‑monitoring tools. | NA |
| Ethical Safeguards | Gong has a “Responsible AI” statement describing internal AI governance, ISO 42001 certification, and controls around data privacy, security, and consent (e.g., consent profiles, consent prompts, and data‑subject rights handling) to support compliant data use. These measures are ethical and governance‑oriented at the data‑use level, but they are not framed as human‑in‑the‑loop medical decision safeguards or use‑case restriction modules for clinical contexts; nonetheless, they do represent built‑in governance controls for AI use generally. | YES |
Risks & Limitations: Gong
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Output quality depends on input data: Incomplete, low-quality, or biased recordings may reduce accuracy in conversation insights and coaching recommendations.
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Decision-support only: AI-generated feedback is for training and guidance; human validation is required before acting on recommendations.
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Integration challenges: Linking Gong with CRM, or other enterprise systems may require technical resources and effort.
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Regulatory considerations: Use of recorded conversations may require compliance with privacy laws and institutional policies.
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Context limitations: Nuanced communication or complex interactions may not be fully interpreted by the AI, requiring human oversight.
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Stephen
Founder of HealthyData.Science · 20+ years in life sciences compliance & software validation · MSc in Data Science & Artificial Intelligence.