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Large organizations sit on enormous amounts of data spread across dozens of systems — databases, data warehouses, SaaS tools, file shares, internal wikis. The people who need answers from that data rarely have direct access, and when they do, it takes too long. Wayak changes that equation. It connects an AI agent to all of your company’s data — structured and unstructured — and gives it the business context to navigate that data the way your best people do.
Wayak data platform overview
No tickets. No waiting. No SQL. Just ask.

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Who Wayak is built for

Data is everywhere

Spread across multiple databases, APIs, SaaS tools, and document repositories.

Teams need answers fast

Decisions can’t wait for a data team backlog.

Automation is a priority

Recurring reports, alerts, and workflows consume too much manual effort.

AI adoption matters

Leadership wants AI that creates real operational leverage, not just novelty.

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What makes Wayak different

Most AI data tools do one thing — answer a question from a single database. Wayak is a full platform.
Connect every data source your organization uses into one place.

Databases

PostgreSQL, MySQL, BigQuery, Snowflake, and more.

API connections

Pull data from any REST or GraphQL API.

Lakehouse

Upload CSVs, Excel files, and other flat files directly.

Knowledge bases

Upload PDFs, docs, and presentations for RAG-powered search.

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The platform at a glance

Start with the quickstart to get hands-on, or explore any section above to go deeper.