Escalate only on real movement. The artifact, caught before the board.
When the approval rate looks wrong overnight, Bicycle separates a real issuer decline from a settlement-batch or model artifact, with the lineage.
Cursor multiplied what one engineer could do. Bicycle does the same for your data engineers.
No credit card required
The overnight batch drifted before the blended average moved. Detected at the batch, not after the day closed.
The force multiplier for your data 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 settlement-batch and PSP-log sources, apply the payments pack. Bicycle proposes 40 KPIs across approval, settlement, and decline; 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.
Approval rate dropped on the overnight batch. 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 payments data engineering view to the payments workflows around approval rate and the recurring investigation.
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