Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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Process Street is an AI-powered compliance operations platform that automates complex workflows, enforces standards, and tracks audit data in real time. Teams use it to create structured SOPs, assign tasks, collect data, and monitor execution with intelligent oversight.
From onboarding and audits to vendor management and document control, Process Street ensures every step is followed and every action is logged. Built for regulated industries like financial services, healthcare, and manufacturing, it supports frameworks such as ISO, SOC 2, SOX, and HIPAA.
With role-based permissions, audit logs, and powerful integrations, Process Street replaces static documents, spreadsheets, and manual processes with a single automated system of record. Use AI to streamline approvals, catch risks early, and generate audit-ready evidence.
Trusted by teams at Cargill, DoorDash, Farmers Insurance, and Hartford Healthcare.
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MouseCat
MouseCat is an AI platform for fighting financial crime that helps risk teams detect suspicious activity, automate investigations, and act before money leaves. It learns how a business operates from standard operating procedures, historical data, case notes, policies, and human feedback, then spots anomalies across transactions, accounts, devices, and counterparties. MouseCat investigates anomalous activity using the same data available to human agents, builds evidence trails, explains its decisions, and can route cases for human review or automatically act on high-confidence outcomes. Its fraud and scam prevention capabilities identify first-party fraud, third-party fraud, account takeovers, scams, synthetic identities, and suspicious behavior across cards, ACH, wires, Zelle, checks, and crypto. It can analyze historical fraud and chargeback data, suggest new rules and model features, identify broader fraud trends, and surface coordinated patterns across users.
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