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Frequently asked questions
We understand that when considering our solutions, you may have questions about how we work, what we offer, and the kind of support you can expect. To make things easier, we’ve compiled answers to the most frequently asked questions from our clients. This section is designed to provide you with clear, straightforward information so you can feel confident and well-informed as you explore our services. If you don’t find the answer you’re looking for, our team is always ready to assist you directly.
Company & PositioningSherpa Plus Platform OverviewSherpa Lens - AI OptimizationSherpa Engage - Retention & Loyalty LayerAPI Integration & Operating FlowsUnderwriting Risk Control & Claims PhilosophyPayments & Crypto RailsCompliance Security & ReliabilityEcosystem Orchestration - Beyond TechRoadmap & Agentic AIMarkets Regions & Use CasesPartnershipsBusiness Model & EconomicsCompany Team & CredibilityOnboarding & Partner JourneyComparison Q&AsAI & Optimization AdvantagesAPI & Architecture AdvantagesMGA Capacity Structuring AdvantagesSpeed-to-Launch AdvantagesProduct Co-Creation AdvantagesRegulatory & Multi-Market AdvantagesClaims & Full-Stack Operating AdvantagesDual-Side Enablement & Ecosystem Advantages
How does Gangkhar make money?
Materials reference commission-based revenue (~15%) on deployments and a marketplace model capturing value from both capacity and distribution sides (specific deal terms vary).
What is the marketplace model in practice?
Gangkhar can monetize infrastructure plus services like assistance, licensing/fronting, billing/collections, and reinsurance solutions while improving partner economics via optimization.
What is meant by “superior unit economics”?
Better profitability per policy/customer through optimized pricing, lower friction, better conversion, controlled loss ratios, and efficient operations.
What are “data flywheel” advantages?
As more partners and transactions run through the platform, Lens can learn faster and optimize better—strengthening performance and defensibility.
What does “partner lock-in” mean in a positive sense?
Deep integrations and performance improvements create long-term retention because replacing the platform would risk losing operational capabilities and optimization uplift.
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