Catch the artifact before the panic. Business movement, not data noise.
When GMV drops overnight, Bicycle separates a real demand move from a late dbt run or a renamed column, ranked with the lineage.
Cursor multiplied what one engineer could do. Bicycle does the same for your analysts.
No credit card required
Three stores dropped before the blended GMV moved. Detected at the segment, not after the day closed.
The force multiplier for your analytics engineers.
Faster onboarding, fewer repeat investigations, and decisions backed by evidence, with your team governing every definition, answer, and action.
One governed system, six capabilities behind every answer.
Set up once, run continuously. Each capability is reviewable and governed by your team, so the business self-serves on a number it can trust. Pick one to go deeper.
Rapid activation on your stack
Every initiative starts with source discovery, modeling, KPI cleanup, and dashboard setup. The business waits while you rebuild the basics.
What Bicycle does
Connect existing data. Reads from your warehouse, streaming, and databases. No migration project.
Generate the first system. Proposes events, dimensions, KPIs, and a starter use-case agent from your stack.
Make setup reviewable. Approve, edit, or reject every suggestion. Gaps surface as TODOs, not hidden work.
In practice
Connect Snowflake, dbt, and your semantic layer, apply the retail pack. Bicycle proposes 40 KPIs across GMV, freshness, and source health; you approve 35, tweak 5. First agent in days.
Capabilities work together in one continuous loop. Detect → Explain → Act → Learn.
Your team builds the intelligence layer once. Bicycle runs it, tunes it, and lets you govern it as it scales.
Onboard once. Review what Bicycle drafts.
Tune what it watches and what it checks.
Decide who sees what, and what the agent can do.
The morning review starts with the first pass done.
GMV dropped on a few stores. Bicycle has already checked the segments, ranked the likely causes, attached the evidence, and kept the definition governed. Your team reviews the answer, publishes the story, and tunes what should happen next time.
Different teams own different metrics. Bicycle keeps the investigation governed.
Move from this analytics engineering view to the retail workflows around search conversion, category margin, app funnels, and revenue performance.
Build your first governed investigation.
Start with one recurring metric in your queue: why checkout conversion, payment success, or activation moved. Bicycle watches the governed KPI, checks likely causes across the warehouse, payments, app & web, and events, and hands your team a reviewable first pass.
No credit card required · analyst-reviewed · governed from day one