Your warehouse has the data. Your operations are running without it.
You’ve invested in Snowflake, Databricks, or BigQuery. But scheduling, pricing, fulfillment, and customer outreach still run on spreadsheets and gut instinct. Pedestal is the operational layer that closes the gap.
The data has value. The current tools can’t extract it.
Native AI disappointment
Warehouse built-in AI tools that underdelivered. Trust is gone, and your business is moving slower than competitors because your people don't trust their tools.
Waiting on analysts
Problems surface after the damage is done. Your data analyst team can't keep up with the influx of ad-hoc requests, so the right decision happens after the moment passed.
Data fragmentation
Manual cross-referencing across disconnected systems and messy real-world data. AI hallucinates because it never understood the business context.
The operational layer on top of your warehouse — not another BI tool, not a chatbot.
Operational decisions grounded in warehouse data and the business context around it.
Plain-English answers for anyone — no technical knowledge required, no waiting in the analyst queue.
Supports every data warehouse and source you already use — no more manual reconciliation against internal sources of truth.
Pedestal learns your warehouse in place — then validates itself against what you already trust.
Reads your systems where they live
Connects to Snowflake, Databricks, BigQuery, Fabric, and the operational systems around them — WMS, TMS, OMS, ERP. No migration, no replication, no parallel copy of your data to govern.
Data fragmentation
Learns your business context
Asks your team what the data doesn't say — definitions, org structure, edge cases — and captures it as governed code. Institutional knowledge that lives in analyst heads becomes part of the system.
Waiting on analysts
Validates against assets you already trust
Cross-references its understanding against your existing spreadsheets, dashboards, and reports. When its answer doesn't match, it reconciles and updates — so you can trust the output without auditing every query.
Native AI disappointment
Platform accuracy across production deployments
Answers arrive while the question is still fresh
Grounded, traceable — every answer has a source
Already in production, at enterprise scale.
25% missed-delivery reduction at 4M packages/month.
One of the largest furniture retailers in the world — automated delivery coordination at network scale.
Deep insights and cost analysis on global shipping data.
One of the largest shipping companies in the world — operational insights at enterprise carrier scale.
The shift in how decisions get made.
Today
- Reactive: problems surface after the damage
- Manual cross-referencing across systems
- Analyst-gated answers, days of latency
- Untrusted AI that hallucinates business logic
With Pedestal
- Grounded answers in minutes, not sprints
- Automatic reconciliation against trusted assets
- Proactive alerts before exceptions escalate
- Traceable, governed results from day one
Works with the warehouse you already run.
No data migration. No ETL pipeline rebuilds. Deployed to meet your compliance needs — on-prem, public cloud, or VPC.
Start today, not next quarter.
30 minutes. Your warehouse, your operations, your environment.
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