Lower data warehouse cost.
Automate query optimization with just a single line of code. unLAP autonomously finds expensive queries, generates optimizations, verifies correctness and performance, and deploys them when approved. All your team has to do is click yes or no.
You have features to ship.
Not databases to tune.
Writing perfectly optimized analytical queries takes time your team doesn't have. Analysts and engineers just need to get features rolled out.
When you prioritize speed, expensive queries inevitably slip into production. Instead of slowing down development sprints to manually tune OLAP databases, unLAP acts as your automated safety net.
Keep your velocity high. Ship your code. Let our pipeline silently optimize the expensive queries in the background before they spike your cloud bill.
How unLAP works
Observation. Generation. Verification. Deployment.
unLAP isn't just another coding agent typing out SQL. It is a fully autonomous optimization pipeline built specifically for production databases.
Instead of blindly guessing at optimizations or performing simple aggregations, our visibility tools observe your actual query patterns and data layout, then tune the database around them.
When generating a fix, unLAP relies on a sandbox of managed data structures, backing up every candidate with formal proofs and built-in regression tests.
By the time a change reaches your desk, it’s already verified. Deployment is just a simple one-click or automated handoff. Your application code doesn't change a single line—it just starts running faster.
Observe
unLAP Monitors BigQuery
Detects Templated Queries & Costs
Provides Unparalleled Visibility
Generate
Tunes Database for Efficiency
Adapts to Data Layout
Manages Sandbox of Data Structures
Verify
Automatic Validation
Ensures Correctness with Formal Proofs
Regression Tests vs Old Query
Deploy
Hot-Swap Optimized Query
Configurable One-Click or Automatic Deployment
Zero Code Changes
Case studies
* Annualized: ~4000x lower annualized cost observed in an actual million-dollar-query-class production environment.
** Projected: Benchmarked internal performance multipliers applied to standard enterprise query volumes.
Change one import. Keep the rest.
The SDK is drop-in compatible with the code you already have.
Patch diff
Built for your specific bottleneck.
Whether you are fighting cross-team friction, runaway cloud bills, or angry customers, select your biggest headache to see how unLAP resolves it.
Stop manual tuning.
Get back to shipping.
Join the engineering teams using unLAP's autonomous pipeline to flatten runaway cloud costs and accelerate long-running queries.
- Drop-in integration (one import)
- Mathematically verified candidate generation
- Zero application code changes required