Aithon introduces an AI-native go-to-market platform designed to help financial services vendors sell into banks and insurers with audit-ready intelligence.
Aithon on Tuesday announced the launch of an artificial-intelligence–native go-to-market platform designed specifically for revenue teams selling into regulated financial services markets, including banking, insurance, and financial technology.
The platform, called RevenueGPS, is aimed at technology companies that sell to banks and insurers, where sales cycles are complex, highly regulated, and dependent on deep domain expertise. Aithon said the system helps teams identify expansion opportunities within existing accounts, prioritize the most relevant buying centers, and execute sales motions more quickly—while maintaining auditability and compliance.
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Unlike many sales and marketing tools that focus on reporting past activity, Aithon’s platform is built to guide future action, the company said. Its data, recommendations, and AI-driven workflows are supported by traceable evidence and a financial-services–specific domain layer designed to reflect how regulated buyers evaluate and approve technology purchases.
“Selling financial services solutions requires deep domain understanding and precise positioning in a crowded competitive landscape,” said Nitin Gupta, chief executive of Aithon. Generic sales technology, he said, often captures activity without offering the intelligence sellers need to grow accounts. Aithon’s approach, he added, starts with the needs of regulated buyers rather than adapting tools built for other industries.
At the core of the platform is Aithon’s proprietary IntelliMatch algorithm, which constructs a customer context graph by combining a company’s first-party go-to-market data with external financial services signals. That graph is enriched with industry-specific datasets, workflows, and AI agents, and is governed by enterprise-grade controls designed for regulated environments.
The system is further supported by the Aithon Expert Network, a group of financial services specialists who help train the platform’s AI to understand the nuances of selling into banks and insurers. The network currently covers areas including anti-money-laundering compliance, fraud prevention, lending, payments, banking platforms, insurance underwriting and claims, asset management, and wealth management.
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“Banking and insurance accounts don’t expand based on generic signals,” said Ruchir Purwar, head of global partnerships and cross-sell sales at Finastra. Expansion, he said, depends on aligning initiatives, stakeholders, and timing across complex organizations—an area where Aithon helps teams identify credible growth opportunities.
Lisa McKenna, head of Americas sales at TigerGraph, said the platform helps sellers cut through data noise and map products to the right use cases and buyers at scale.
Founded to serve regulated financial services markets, Aithon positions its platform as an alternative to general-purpose sales technology, emphasizing evidence-backed insights, domain specificity, and governance as core requirements rather than add-ons.
