Turn your lakehouse into business outcomes.
You've built a powerful Databricks lakehouse. Pedestal turns it into answers, decisions, and action — without adding another notebook your business teams won't touch.
We know how Databricks actually gets used.
Databricks is where your most valuable, hardest-to-replicate data lives — clean tables curated by your data engineers, governed through Unity Catalog, queried by your data and ML teams. It's also where the line between "data exists" and "the business uses it" gets drawn.
- Unity Catalog as the source of truth for governance and lineage
- Notebooks and jobs that data teams maintain, business teams don't open
- A growing backlog of business questions waiting on engineering bandwidth
The value is in the lakehouse. The bottleneck is everything around it.
You didn't invest in Databricks so business decisions could still take three weeks. But that's the gap most teams hit.
Every business question becomes a data engineering ticket.
Operators wait days or weeks for answers a notebook could produce in minutes — if they could write one. The lakehouse becomes a queue.
Dashboards expire faster than they ship.
By the time a Databricks dashboard answers last quarter's question, the business is already asking the next one. Most leaders never open them.
ML investment doesn't reach the operator.
Models live in Databricks. The decisions they should drive happen in spreadsheets, calls, and emails — disconnected from the data that should inform them.
Your data team is the floor, not the ceiling.
Skilled engineers spend their week answering routine questions instead of building new capability. The whole org runs at the speed of the smallest team.
What Pedestal unlocks on top of Databricks.
Pedestal sits on top of your lakehouse and turns it into something the rest of the business can actually use — without compromising the governance you've built.
Answers in minutes, in plain English.
Leaders ask questions the way they actually think. Pedestal grounds the answer in your Unity-Catalog-governed data and shows its work.
Proactive insights, not just on-demand queries.
Pedestal watches your lakehouse and surfaces what changed, what's anomalous, and what deserves attention — before someone has to think to ask.
Operational decisions, grounded in the lakehouse.
The data that drove your ML investments now drives day-to-day calls — pricing, scheduling, customer outreach — without requiring a new dashboard.
Your data team gets their week back.
Routine questions stop landing in their queue. They go back to building durable capability instead of running ad-hoc queries.
Life before and after Pedestal on Databricks.
- Business questions queue behind data engineering
- Dashboards built for last quarter's question
- ML output disconnected from operator decisions
- Data team spends the week on ad-hoc requests
- Leaders self-serve, grounded in your governed data
- Insights surfaced proactively, not built reactively
- Lakehouse data drives day-to-day operational calls
- Data team builds durable capability, not one-off answers
What this means for the business.
Your lakehouse stops being a place data goes and starts being the engine your business runs on.
Decision velocity
Cycle time from question to grounded answer drops from weeks to minutes.
Team leverage
Every business leader becomes self-sufficient in the data your team has already curated.
ROI on Databricks
The investment you've already made finally reaches the part of the business that needs it most.
Built for Enterprise
Your data never leaves your environment. Walk away anytime and take everything with you.
Your Infrastructure
- Your VPC or on-prem
- AWS, Azure, or GCP
- Native to Snowflake, Databricks, SAP
Your Code
- Readable, testable, versioned
- No black boxes
- You leave, the code stays
Your Audit Trail
- Every decision traced
- GDPR compliant
- SSO and role-based access
See how it works in 30 minutes.
We’ll walk you through how Pedestal captures your business context and builds agents grounded in it — tailored to your systems and your workflows.
Book a Briefing