AI accelerators
Production AI tools that compress 12-month timelines into weeks. Built by the team behind 5X — the #1 data platform on G2.
Get started→Agentic data engineering
Your data is everywhere. Your answers are nowhere.
Every AI initiative stalls at the same point: the data isn't ready. Dirty data, siloed systems, no pipelines. Traditional data engineering projects take 6–12 months. Our AI accelerators automate the entire lifecycle — ingestion, transformation, quality checks, and delivery — compressing that timeline into weeks, not months.
The situation
You have 15 source systems, a few spreadsheets someone calls a “data warehouse,” and a BI tool nobody trusts. Your finance team spends every Friday copy-pasting numbers. Your ops team makes decisions on gut feel because the data is always stale.
The struggle
Every data project you've tried took 6–12 months and delivered a demo nobody used. You've been quoted $2M for a “data transformation” that starts with a 3-month discovery phase. Meanwhile your competitor just hired a Head of Data.
What you actually need
Clean data flowing automatically from every source system. Governed from day one — lineage, access controls, quality monitoring. And a team that builds it, trains your people to run it, then leaves. Not another vendor. Not another dependency.
Five agents. One data stack.
Each agent builds on the work of the one before it. Infrastructure informs ingestion. Ingestion feeds quality. Quality shapes modeling. The recommendation agent continuously improves everything.
Data infrastructure agent
Maps your current setup — warehouses, orchestrators, tools — or recommends one from scratch. You get a unified architecture diagram and implementation plan before any code runs.
Data ingestion agent
Builds pipelines from any source — databases, APIs, files, streaming — into your warehouse. Handles schema changes, incremental loads, and failure recovery automatically.
Data quality agent
Profiles every dataset for shape, completeness, freshness, and reliability. Sets up automated quality checks that flag anomalies before they become downstream problems.
Data modeling agent
Transforms raw data into business-ready models — dimensions, facts, metrics, and semantic layers. Built around what you’re trying to achieve, not generic templates.
Recommendation agent
Continuously monitors your entire data stack and suggests improvements — reliability fixes, performance optimizations, cost reductions, and new opportunities hiding in your data.
What you get
- Automated data pipelines from all your source systems
- Clean, transformed, production-ready datasets
- Data governance framework — lineage, access controls, cataloging
- Data quality monitoring with automated alerting
- Build, train, transfer — we build it, train your team, hand it over
- Documentation, runbooks, and team training
- Support for hiring your first data engineer
Ready to start?
Tell us where you are and where you want to be. We'll show you how to get there in weeks, not months.
Get started→