Gradient Labs

Gradient Labs builds AI agents for customer operations in financial services. Its suite of specialist agents handles lending collections, card disputes, KYC and business verification, onboarding activation, insurance claims intake and frontline customer support, and a platform runs the back office work in between. The agents do more than answer questions: they gather and verify evidence, apply the firm's own policies, take actions such as freezing a lost card or tracing a missing payment, and either resolve the case or route a complete case file to a human for sign off. The product is aimed at banks, fintechs, lenders and insurers that operate under strict regulation and complex procedures. Every agent ships with financial services guardrails, policy checks and language controls, and asks follow up questions when a customer's intent is unclear rather than guessing. Teams on Intercom, Zendesk or Freshdesk can start without technical integration, while deeper automation involves defining procedures and connecting internal systems, and a public API supports other platforms. The agent is not tied to a single language model provider. Collaborate, a newer product, lets operators and engineers improve agents like code, with version control, parallel changes, evals run against every test case before release, and support for working through Claude, Codex or other AI agents. Pricing is not published as fixed plans. Gradient Labs uses an outcomes based pricing model that adapts to support volume and business needs, and prospects are asked to book a demo to agree terms. The company's focus is deliberately narrow: it argues that general purpose AI support agents suit unregulated industries, while finance requires compliance controls and back office depth that it builds in by default.