With the new unified Gemini experience, enterprises can bring third-party partner capabilities directly in Gemini through standardized connectors (spanning Model Context Protocol (MCP), Agent-to-Agent (A2A) runtimes, and REST APIs), alongside emerging declarative skills and plugins.
For independent software vendors (ISVs), this unified architecture unlocks a powerful opportunity to embed domain-specialized intelligence, regulated workflows, and live systems of record directly into enterprises' daily workflows. Yet turning a compelling use case into an enterprise-ready integration often stalls in engineering friction, from choosing the right extensibility primitive and wiring authentication to orchestrating multi-step tool execution and rendering inline interactive experiences. To eliminate these bottlenecks, Google Cloud launched the Gemini factory—an intensive co-innovation initiative designed to help enterprise software partners go from a blank whiteboard to agentic solutions listed on Google Cloud Marketplace in record time. Through hands-on workshops in global technology hubs—including San Francisco, New York City, Sunnyvale, London, Paris, Tel Aviv, and Tokyo—Google Cloud specialists work side-by-side with partner teams to ideate, architect, and build the next generation of enterprise AI solutions with Gemini.
Specifically, the Gemini factory helps partners:
Choose the right agentic architecture across MCP connectors, skills, plugins, and autonomous agents.
Go from an initial use case to a production integration in days rather than months.
Accelerate customer activation with funding incentives and go-to-market (GTM) support.
Let’s dive in and see how we make all of that a reality.
In previous iterations of enterprise AI, third-party integrations often operated as isolated top-level agents, forcing employees to leave their workflow. When software providers arrive at the Gemini factory, they evaluate how their capabilities plug into Gemini across four complementary architectural primitives rather than competing extremes:
Model Context Protocol (MCP) connectors: The foundational data and tool pipe for exposing external APIs, search, and CRUD operations to Gemini as callable tools registered in Agent Registry in Gemini platform.
Declarative Skills (.md): Open Markdown configurations stored in Skills Registry that equip Gemini with domain-specific instructions, operational guardrails, and repeatable multi-step workflows across connectors.
Plugins: The composite packaging and governance primitive in Gemini and Google Cloud Marketplace that bundles one or more Connectors and Skills into a single turnkey solution for IT administrators to govern and Gemini users to invoke.
AI agents (A2A): For enterprise ISVs whose value lies in proprietary algorithms, regulated workflows, or strict compliance rules, standalone A2A agents run in an isolated partner environment while plugging into Gemini as callable connectors—keeping intellectual property protected, guaranteeing deterministic execution sequences, and maintaining tamper-proof audit trails.
Rather than forcing developers into a single mold, Gemini unifies all four primitives into a coherent enterprise fabric—passing shared session context into partner connectors and chaining outputs across the enterprise ecosystem.
Once the right architectural pattern is defined, the Gemini factory compresses months of integration work into a streamlined, AI-assisted engineering pipeline that brings partner development teams and Google Cloud experts together side-by-side.
This execution velocity is powered by three core capabilities in Gemini platform:
Antigravity & AI-assisted builder workflows: Rather than writing boilerplate from scratch, developers build and govern solutions in Antigravity, an AI-first development environment. Using pre-built Rapid Agent Development (RAD) skills and AI-assisted workflows, partner teams rapidly translate use-case specifications into working architectures, scaffold remote MCP connectors or agent runtimes, author declarative .md skills, and run automated pre-ingestion validation harnesses.
Flexible backend primitives (MCP, skills, plugins, and ADK): For most integrations, teams expose platform APIs via a hosting-agnostic Remote MCP Connector (on Cloud Run or their existing cloud) and layer on declarative Skills (.md) bundled into a turnkey Plugin. When a use case requires closed-IP models or strict deterministic execution, partners use the Google Agent Development Kit (ADK) and the A2A protocol to expose their runtime as a callable connector in Agent Registry.
Inline adaptive experiences (native MCP apps): Instead of redirecting users to fragmented external portals or maintaining complex custom UIs, Gemini keeps users in the flow of work. Through native MCP apps and guided inline components, partner integrations dynamically stream rich, context-aware visual canvases directly in Gemini while chaining outputs across Google Workspace and other enterprise connectors.
The Gemini factory is structured as an end-to-end commercial runway, not just a hackathon:
| Stage | Program pillar | Partner benefit | | 1. Build | Seed credits | Offset upfront costs: Upfront scoped credits to offset build and porting costs, consumption-based performance credits as partners scale, and scoped engineering support to accelerate development. | | 2. Launch | Cloud marketplace | Enable discoverability: Publish directly to Google Cloud Marketplace with streamlined billing, procurement, and enterprise integration to gain direct visibility across global enterprise and mid-market accounts. | | 3. Scale | Co-marketing & GTM | Amplify market demand: Access custom co-marketing and launch assets, social promotion, PR kits, launch spotlight campaigns, and Google-funded campaign packages for top-performing partners. |
Enterprise deployment architecture: Regardless of whether a partner builds a Skill, Plugin, MCP server, or A2A agent, the architecture is designed to keep customer onboarding frictionless and partner IP secure. Gemini users access the partner integration in Gemini using native OAuth, Dynamic Client Registration (DCR), and streamlined Bring Your Own License (BYOL) flows, while the partner maintains backend security, data sources, and proprietary tooling within their own project perimeter.
Built-in discoverability: Partner solutions are published directly to Google Cloud Marketplace and featured in AI Solution Finder, giving enterprise customers a central place to discover validated MCP connectors, plugins, and agents today—and making it simple for IT administrators to configure and govern them in Gemini.
Comprehensive incentives & go-to-market: Google Cloud supports verified partners through every growth stage. Qualified solutions unlock Seed Credits upon Marketplace publishing and performance credits to offset operational inference costs, paired with GTM assets and sales enablement to turn engineering milestones into a net-new pipeline.
Recent Gemini factory (previously referred to as the Agent Factory) cohorts have already brought a wave of industry-specific agents to life. Here is how nine software partners took complex enterprise challenges and deployed production-grade solutions built with Gemini in days:
Aily Decision Intelligence Agent
The Aily Decision Intelligence Agent unifies 360° enterprise performance metrics to deliver predictive business diagnostics and actionable strategic recommendations. Built for executive decision-makers, it interrogates complex operational and financial datasets to forecast performance trends, identify supply disruptions, and guide strategic resource allocation through an intuitive, mobile-first interface.
“Our mission is to bring real-time, AI-powered decision intelligence to every business executive. The Agent Factory workshop was an incredible catalyst; it enabled our team to wire up complex predictive reasoning models into the Gemini Enterprise runtime, activating Aily Super Agent in record time; orchestrating thousands of specialized agents, connecting insights across multiple business domains, and presenting them through a single, intuitive interface for the user. Having side-by-side engineering support helped us prove out high-impact executive scenarios and accelerate our roadmap toward a verified listing on Google Cloud Marketplace.”
— Reynaldo Espana, VP of Engineering, Aily Labs
Capital Markets Document Reconciliation Agent
FlowX's Capital Markets Document Reconciliation Agent streamlines high-stakes financial operations, including institutional document extraction, multi-party reconciliation, and loan pack completeness audits. Leveraging specialized document intelligence and Kubernetes-backed agent runtimes, it cross-checks disparate contracts, regulatory filings, and credit documentation to flag discrepancies in real time, drastically reducing cycle times for back-office operations.
“In capital markets and lending, precision, auditability, and data security are non-negotiable. What impressed us most about the Agent Factory was how rapidly we could implement complex business validation rules and multi-source document ingestion without compromising on enterprise compliance. Transitioning from raw use cases to a functional prototype in a single workshop demonstrated the sheer execution velocity possible on Gemini.”
— Serban Chiricescu, Founder & Chief Technology Officer, FlowX.AI
Digital Governance Analyst Agent
The Analyst Agent by Klarvant provides outside-in discovery and analysis of an enterprise’s external namespace: post-quantum readiness, certificate and TLS hygiene, email security, supply-chain risk, and external exposure. It tracks post-quantum migration endpoint by endpoint, matches supplier and dependency events to the points where they touch the estate, and answers plain-language questions with audit-ready evidence and custom dashboards built on request.
“What Gemini does exceptionally well is reason over complex technical evidence and explain it in plain language. That is exactly what governance needs. A board member or even a CISO does not want a list of ciphers; they want to know whether the company is ready and what to do next. With the Agent Factory, Gemini became the bridge between our intelligence and the people accountable for it.”
— Endre Fehn, Chief Technology Officer, Klarvant
AI Prospecting Agent
The NextLM AI Prospecting Agent brings tenant-native prospect intelligence into Gemini. Powered by the Savant model family, it ranks the B2B accounts and buyers most likely to convert using behavioral data across 300M+ companies, 370M+ professionals, and 1.3B+ tracked news articles. Each customer gets an isolated model that is further trained on its own closed-won and closed-lost data, so prioritization reflects what actually wins for that business. Built to work alongside other agents in Gemini, it hands ranked accounts and buyer context to research, outreach, and CRM connectors, turning “who should we pursue and why now” into action across the workflow.
“Building autonomous B2B sales agents requires blending live external market signals with deep enterprise CRM context. The Agent Factory eliminated the typical development friction—our engineers used the RAD framework to go from an initial architecture diagram to an active, working prospecting agent in under 24 hours. The hands-on co-engineering with Google Cloud gave us the confidence and tooling to bring a production-ready solution straight into the Gemini Enterprise ecosystem.”
— Chris Anzalone, Founder & CEO, NextLM
Mark Marketing Calendar Deck Builder Agent
Optimizely Mark Marketing Calendar Deck Builder Agent converts cross-functional marketing strategies, campaign timelines, and experimentation roadmaps into executive-ready slide decks and visual briefs. Grounded in campaign performance metrics and content repository data, it enables marketing leaders to generate unified omnichannel schedules, align global teams, and track milestone delivery in seconds.
“Marketing teams spend countless hours manually consolidating disjointed campaign plans and roadmaps into presentations for leadership. The Agent Factory allowed us to harness Gemini and Vertex AI Vector Search to turn that manual chore into an autonomous, one-click experience. In just one intensive day, our team built an agent that unlocks immediate productivity gains for enterprise marketers and seamlessly plugs into our broader Mark platform.”
— Kevin Li, SVP Product, Optimizely
PingID Device Management Agent
Employees manage their own MFA devices just by asking. When someone gets a new phone, the agent displays a live PingID pairing QR code with real-time status directly in Gemini, rendered with A2UI. Employees can also list, rename, set a default, or remove devices without opening a portal or filing a help desk ticket. That replaces a help desk call, and the over-the-phone identity check that social engineering attacks exploit, with a short conversation.
“Every new phone and every last day at work is an identity event, and too many of them still turn into help desk tickets. Working side by side with Google Cloud in the Agent Factory, we built agents that let employees manage their own MFA devices and let admins resolve identity requests in one conversation. With ADK, A2A, and A2UI, those experiences run natively in Gemini, and every action stays scoped to the user, confirmed by a person, and accountable.”
— Loren Russon, SVP, Product & Technology, Ping Identity
Sinch RCS Messaging Agent
The Sinch RCS Messaging Agent enables enterprises to create and manage RCS business agents, draft interactive messaging campaigns directly from natural-language prompts, execute rich RCS broadcasts, and monitor delivery reports, built with Gemini and Sinch's carrier infrastructure.
“Collaborating with the Agent Factory team dramatically accelerated our timeline from prototype to a verified listing on Google Cloud Marketplace. Leveraging their structured environment and pre-built RAD skills, our engineering team was able to rapidly assemble, secure, and validate a complete lifecycle agent for RCS, covering enterprise authentication, RCS agent provisioning, prompt-based campaign drafting, and real-time delivery reporting. We walked away with a production-ready solution that harnesses Google Cloud’s ecosystem to help businesses deliver richer, more interactive conversational experiences at scale.”
— Antoine Sein, Senior Engineering Manager, Developer Experience & Agent Experience, Sinch
Shopping Assistant Insights Agent
Shopping Assistant Insights converts shopper conversations into actionable commercial insights and plain-business answers grounded in BigQuery analytics. It tracks shopper demand, assistant performance, and customer friction while maintaining strict data privacy. Designed for commercial leaders, it highlights opportunities to stock, promote, or fix based on real user interactions.
“Our AI Shopping Assistant captures a depth of shopper intent that traditional search bars can't. The Agent Factory helped us turn this insight into valuable action points for brands and retailers. We leveraged Gemini to rapidly build a Shopping Insights Agent that turns raw consumer data into actionable business strategy. The collaborative environment accelerated our development, giving us a deeper understanding of the Agent Marketplace while delivering a live, functional agent that provides immediate value to our customers.”
— Jo Drake, CTO, THG Ingenuity
Xfuze Order Intake Agent
The Xfuze Order Intake Agent automates multichannel commerce order processing, exception triage, and inventory reconciliation across disparate enterprise systems. Powered by Xiatech’s Xfuze integration platform and BigQuery analytics, it continuously identifies supply chain anomalies, resolves fulfillment errors, and provides commercial operators with conversational visibility into real-time order-to-cash health.
“Connecting disparate legacy systems, e-commerce storefronts, and ERPs is a major hurdle for retail and supply chain leaders. At the Agent Factory, we leveraged the Antigravity IDE and RAD developer skills to build an agent that unifies these complex data streams effortlessly. The speed of execution was remarkable, in 24 hours, we built a first of its kind agentic application (multiple agents in one) that delivers instant operational transparency and tangible cost savings to our clients.”
— Jonathan Summerfield, Founder & Chief Executive Officer, Xiatech
The transition to the agentic era requires more than standalone applications—it demands an open, interoperable enterprise ecosystem. Through the Gemini factory, Google Cloud is bringing together technical velocity and commercial scale so partners can meet enterprises wherever they work:
End-to-end co-engineering: Rapid architecture design, AI-assisted development, and automated readiness testing in Antigravity alongside Google Cloud partner engineers.
Full-spectrum extensibility: Flexible blueprints in Gemini across deterministic A2A agents, standardized MCP connectors, declarative skills, and turnkey plugins.
Marketplace discovery and scale: Streamlined publishing to Google Cloud Marketplace, backed by seed credits, performance incentives, and joint go-to-market support.
By collapsing the journey from initial whiteboard concept to a verified Google Cloud Marketplace listing into a matter of days, the Gemini factory is helping partners bring the next generation of enterprise AI solutions to market faster than ever—and this is just the beginning. Explore partner-built agents, MCP connectors, skills, and plugins in the Google Cloud Marketplace and AI Solution Finder, or connect with your Google Cloud Partner team to start building in the Gemini factory.