Nine Skills: Moonshot AI Launches AI Solution for the Financial Industry

Today, Moonshot AI launched its "AI Solutions for the Financial Industry."

Over the past while, we've also been experimenting with Moonshot AI internally at ZhenFund: organizing information in fast-moving frontier fields like hard tech, mapping out technology roadmaps and industry landscapes, and using it to work through massive volumes of leads so we can spot outstanding founders earlier.

Those experiments are still ongoing. We're looking forward to working with Moonshot AI and more real users to bring AI into more professional workflows and keep exploring new possibilities.

Today, Moonshot AI officially launched its financial industry solution.

The solution brings together Moonshot AI's products and capabilities for the financial sector, covering 10+ authoritative data sources, 9 financial skills, and 5 compliance and security measures, along with institutional-grade data modeling and report delivery.

From morning holdings briefings and earnings commentary to project screening, deep research, and portfolio reviews, Moonshot AI connects the entire process from data acquisition to professional analysis to final deliverables. Material processing and first-draft production that used to take "days" has been compressed to "hours."

Dozens of financial institutions are already innovating on top of Moonshot AI's model, enterprise edition, and Kimi Work products, or co-building financial solutions with Moonshot AI — spanning leading brokerages, commercial banks, venture capital funds, and investment research data providers.

Finance is one of the most data- and information-intensive industries. For a long time, the industry's productivity has been constrained by two factors: the speed of data processing and the breadth of information gathering.

In 2026, as large models improve at reasoning and tool use, AI is moving from point solutions to complete financial workflows. But finance demands extremely high standards for accuracy and compliance. Only outputs that are professionally structured, clearly sourced, and easy to verify can truly enter business processes.

That is also the starting point for the design of Moonshot AI's financial industry AI solution.

Nine skills, distilling AI capability into professional financial workflows

Working with frontline institutional analysts, fund managers, and investment banking teams, Moonshot AI has packaged the key steps of financial work into 9 professional skills: institutional financial modeling, institutional research reports, institutional PPTs, dynamic financial charts, earnings commentary, consensus expectation maps, portfolio reviews, morning holdings briefings, and the HK IPO Lens.

Each skill corresponds to a type of work with well-defined analytical steps and delivery standards, and all are already in use across real tasks at banks, secondary-market, primary-market, and insurance institutions:

1. Investment banking / private equity: financial modeling

Install and use the "Institutional Financial Modeling" skill to build a financial model for a commercial aerospace company based on management reports, audit reports, and due diligence materials — outputting an Excel model with adjustable assumptions and a comparable company valuation table. The human effort required for financial modeling dropped from 5–7 person-days to 0.5–1 person-days.

2. Secondary-market research: deep research

Install and use the "Institutional Research Report" skill to complete a deep-dive report on the quantum technology industry, incorporating expert interviews and earnings call materials. The research cycle shrank from 10–20 days to 2 days.

3. Commercial banking: credit reports

Generate credit investigation reports based on prospectuses, research notes, and credit data, with clear approval conclusions, proposed terms, and risk warnings — improving per-account material preparation efficiency by more than 5x.

4. Insurance: pet insurance analysis report

Install and use the "Institutional PPT" skill to turn analysis of competing pet insurance products — market size, pricing design, and unit economics (UE) — into a 21-page investment decision deck. The human effort for PPT production dropped from 7–10 person-days to about 2 person-days.

Beyond the financial skills, Moonshot AI also offers several general capabilities.

1. Turn research output directly into interactive HTML reports. Compared to static documents, HTML carries far more information density, can be shared with a single link, and lets readers drag parameters and test assumptions.

The "Dynamic Report" skill can convert sell-side deep research into visual reports suitable for external presentation — for research marketing, client communication, and public release.

2. Bring long-tracked information together in one place. The "Dashboard" in Kimi Work is built from freely arrangeable "widgets" that can be pinned to the desktop for anytime viewing.

For example, you can use the financial terminal plugin to build a financial terminal dashboard that links professional sources, portfolio holdings, and covered companies — open the page and see the latest changes without re-searching every day.

3. Professional financial charts with direct annotation and data editing. On the institutional-grade charts produced in Kimi Work, the "circle-and-mark" feature enables a range of quick annotations and edits.

This includes, but is not limited to, CAGR and difference annotations, switching chart types (stacked bar, clustered, line, Mekko), changing color schemes, adjusting label formats, and editing data.

4. Custom plugins to connect any system into the workflow. With Kimi Work's Plugin Builder, describe in natural language the systems and workflows you want to connect, and create custom plugins via three paths: MCP, API, or browser skills.

Your existing data subscriptions, internal materials, and business systems can all enter the Kimi Work workflow under controlled, secure permissions.

10+ authoritative data sources and five security and compliance measures

Moonshot AI's full product suite — the kimi.com web app, the Kimi Work desktop app, and Kimi Code — comes with built-in access to authoritative domestic and international data sources including Wind, East Money, S&P Global, CLS.cn, and Caixin Data.

This data connects directly into research tasks via MCP, so key figures can be traced back to their original sources for verification, with clear and checkable provenance and definitions. When researching companies, researchers can also use Tianyancha and Yuandian Legal to supplement business registration, judicial, intellectual property, and regulatory information — expanding beyond financial statements.

In addition to data sources, Moonshot AI includes a full set of research and production plugins: Scholar full-text academic paper search, tools for generating Word, Excel, PDF and other Office-format outputs, image and voice generation tools, and more.

Moonshot AI is currently working on integrations with Chinese office systems including Lark, Tencent Docs, and WPS, so research materials and analytical output can flow more smoothly into team collaboration.

To address compliance issues around data sources and tool access in financial tasks, Moonshot AI co-built a "Risk Assessment Gateway" with China Securities Co., Ltd., translating the security and compliance requirements for agents at financial institutions into 5 concrete measures.

China Securities Co., Ltd. applies this "Risk Assessment Gateway" to its "Ad Hoc Fiduciary Report Generation" agent, built on Kimi Hosted Agents.

Integrating the agent with existing business systems took 3 working days instead of the planned 2 months; manual production time per report fell from about 30 minutes to 10 minutes, a 67% reduction in human effort.

The gateway is reusable across scenarios: new use cases can follow the same compliance review mechanism for integration and go-live approval, laying the efficiency groundwork for scaling agents into more business scenarios.

The full capabilities of Moonshot AI's financial industry AI solution are now live — we invite you to try them.

Individual users can install and try the financial skills and data source plugins at kimi.com; team users can install and call data source plugins and financial skills in the Kimi Work desktop app and Kimi Code, and experience custom plugins and local desktop agent capabilities.

Kimi Hosted Agents, the institutional-facing service, provides a configurable, auditable runtime environment for agents entering real business processes.

For the enterprise edition, customized Skills, or dedicated data integrations, contact the Moonshot AI team at sales@kimi.com to discuss the right solution for your business.

Moonshot AI Enterprise: kimi.com/business

Kimi Work: kimi.com/products/kimi-work Kimi Code: kimi.com/code Kimi Hosted Agents: platform.kimi.com/docs/hosted-agents/quickstart Kimi API Open Platform: platform.kimi.com