Knowy AI

Inspiration

As organizations rapidly adopt AI, one challenge consistently emerges: company knowledge is fragmented across Slack, Google Drive, GitHub, Notion, and countless other tools. While modern AI assistants can search these systems, they repeatedly perform the same retrieval and reasoning every time a similar question is asked. Valuable knowledge disappears at the end of each conversation.

We were inspired by the vision of enterprise intelligence platforms like Palantir, but also recognized that these solutions are often complex and inaccessible for most organizations.

Knowy AI explores this gap by introducing a lightweight Company Intelligence Layer that transforms scattered enterprise knowledge into reusable, source-backed intelligence.

What it does

Knowy acts as an AI account-operations agent for small service businesses. It retrieves relevant evidence from company systems, uses Gemini to determine account health, explains the supporting evidence, and recommends one concrete next action. The result is saved as reusable account intelligence. When the same account is reviewed again, Knowy reuses the existing brief if it is current. If a supporting source changes, Knowy detects the changed version and refreshes the affected intelligence.

How we built it

Knowy is a Next.js and TypeScript application with server-side API routes and a lightweight SQLite/D1-compatible persistence layer. Query-driven retrieval selects relevant Slack, GitHub, and Google Drive evidence. It leverages gemini-2.5-flash on Vertex AI converts that evidence into structured account intelligence containing an answer, account-health status, findings, source citations, confidence, and next action. Knowy records source versions and agent execution logs so saved intelligence can be reused or refreshed safely.

Challenges we ran into

One of our biggest challenges was deciding what NOT to build.

Enterprise AI platforms often include knowledge graphs, ontologies, complex synchronization pipelines, and sophisticated permission systems. Building those components during a hackathon would have made the project too large.

Instead, we focused on one core innovation: treating AI-generated conclusions as reusable intelligence rather than disposable chat responses.

Another challenge was designing a generic data model that could represent information from multiple enterprise systems while remaining simple enough to implement within a weekend.

Accomplishments that we're proud of

We're proud that Knowy AI goes beyond a traditional RAG chatbot.

Our MVP demonstrates that AI can:

Connect multiple enterprise knowledge sources. Retrieve only relevant information instead of indexing everything. Generate source-backed Intelligence Objects. Reuse previous reasoning instead of repeating expensive searches. Detect outdated intelligence and refresh it when source data changes. Most importantly, we built a working prototype that illustrates a new way of thinking about enterprise AI: transforming company knowledge into reusable organizational intelligence.

What we learned

Building Knowy AI taught us that the biggest opportunity in enterprise AI isn't necessarily building better chat interfaces—it's building better organizational memory.

We also learned that keeping the scope intentionally small led to a clearer product. Rather than trying to replicate a full enterprise platform, we focused on demonstrating a single compelling concept that can scale over time.

What's next for Knowy AI

This hackathon MVP is only the foundation.

Our next steps include:

Supporting additional enterprise platforms such as Microsoft 365, SharePoint, Jira, Salesforce, and Confluence. Adding enterprise authentication and permission-aware retrieval. Building richer relationships between Intelligence Objects to form a lightweight Company Knowledge Graph. Introducing event-driven updates so intelligence refreshes automatically when source systems change. Enabling AI agents and employees to collaborate using the same shared organizational intelligence instead of isolated conversations. Our long-term vision is to make Knowy AI the "Company Intelligence Layer"—a lightweight platform that helps organizations transform fragmented knowledge into reusable, continuously evolving intelligence.

Built With

• gemini
• github
• google-ai
• next.js
• react
• sqlite
• typescript