AlchemyLake for Databricks

Install a governed creative surface directly inside your Databricks workspace. AlchemyLake turns the data your lakehouse already trusts into finished deliverables Genie doesn't make: board-ready PowerPoint decks with a read-aloud script and Q&A prep under every slide, enterprise PDF dossiers with a statistical appendix and an Excel evidence workbook, deep-research dossiers (a planned multi-step investigation — Genie sources get governed SQL follow-ups in one continuing conversation), designed infographics, animated video briefings with narration (six formats), two-host data podcasts (five formats), and sonified scores (six genres) whose tempo follows your growth.

Get started free — no card required

1. Sign up — 50 free credits land in your account immediately, nothing to enter but an email.
2. Grab a developer key — sign in at app.alchemylake.com → Studio → Developer · MCP & keys → Forge a new key (starts with alk_…).
3. Clone this repo and deploy it into your Databricks workspace:

   git clone https://github.com/zorost/alchemylake-databricks.git
   cd alchemylake-databricks
   # edit the workspace host in databricks.yml (see Path 1 below), then:
   databricks bundle deploy -t prod
   databricks bundle run alchemylake_app -t prod
   

   Tracking main gets you the latest build; git checkout v0.4.0 first pins the deploy to a tagged release instead, if you'd rather not move with main.
4. Open the App URL the CLI prints, paste your key, then Load governed sources → pick one → Transmute.

That's a governed PDF, deck, infographic, or video briefing — sealed to your own data, running inside your own workspace — for free, in about five minutes. No Databricks Apps on your workspace? Skip straight to Path 2 — register one URL and Genie, Claude, or Cursor get the same 50 free credits to work with, no bundle required.

Every lane binds to a governed source, and the numbers discipline holds throughout: the platform computes an analyst-grade statistical dossier from the bound rows by code — trend with fit quality, outliers, correlations, segment shares, concentration, pivots — the model never authors a figure, a verifier checks every claim after generation, and the result is sealed (source · row count · data sha256 · verification score) with the seal embedded in the file itself. Genie answers bind as sources too, and one-click recipes ship a board deck or a whole campaign pack from one table. Every credit accounted.

Where Genie stops, AlchemyLake starts. Genie answers questions about your data inside the workspace — tables and charts. AlchemyLake takes the same governed rows the last mile: "Ask Genie for Q2 revenue by region, then render an 8-slide deck titled Q2 Momentum" leaves the workspace as a .pptx the CFO can present cold — every figure verified against the rows, provenance sealed into the file.