Your systems, connected.
1,000+ data sources. Connect to your ERP, data warehouse, email, file storage system and more.
The AI for operators
Agents that ops and finance teams actually rely on.
Describe a messy, recurring process. Parabola runs it at production scale, shows its work at each step, and stays audit-ready through every handoff.
OK, now cross-reference them and show me where the counts don't line up.
30,000+ agents powering your favorite brands
30,000+ agents powering your favorite brands
Describe it
Start the way you'd explain it to a colleague.
Parabola asks thoughtful follow-ups based on deep expertise in ops and finance use cases.
Ask Parabola to build, change, or run an agent...
Build it
Every decision is documented.
Your process becomes a visual agent you can edit, govern, and audit. Change one step, and everything downstream updates. No re-prompting from scratch.
Run it
Works the way your team does.
Connect to your existing tools, schedule agents to run on their own, and easily share with your team. All with the permissions, governance, and audit trail your team requires.
Runs on its own.
Hourly, daily, weekly, or on trigger. Parabola handles retries, alerts you on failure, and logs every run.
Your team, your rules.
Every agent is a living SOP that can be shared across your team. Fine-grained permissions keep access secure.
My team can now see a problem and fix it themselves. Watching them take ownership of work that used to wait on someone else is exhilarating.”
What happens after the first run?
Your SOPs deserve better.
Most AI agents are built for the demo. Parabola builds for your thousandth run, the auditor, and the teammate covering when you're OOO.
When you're building
When the data changes
When something breaks
When someone new takes over
When the auditor asks
When the rule changes
general purpose agents
Black-box logic. Lacks transparency.
Context is gone. Reprompt and rebuild.
Silent failure. You find out downstream.
A doc. A Loom. A Slack thread.
Parabola
Same agent, same logic. New data flows through.
Email notice. Clear identification of the error point.
They open the agent, read the steps, click run.
Version history. Full audit logs.
Edit one step. Everything else holds.
Parabola by the numbers
- 25M+agent runs
- $200M+in invoices and spend managed
- 1.5B+manual tasks automated
- 1T+rows of data processed
Use cases
Build a complete agent with a single pre-built prompt.
- Inventory reconciliation Reconcile inventory across your ERP, WMS, and storefront. Flag every SKU that’s out of sync between systems and surface what’s missing where. See prompt
- Parcel invoice auditing Audit DHL, UPS, and carrier invoices against your rate card automatically. Catch the rate, zone, and weight overcharges before you pay them. See prompt
- Sales channel consolidation Combine Shopify, Amazon, retail, and wholesale sales into one normalized table. See revenue by month and channel without rebuilding the report every cycle. See prompt
- Variance analysis Compare forecasted spend against actuals automatically. Flag variances over your threshold by month and SKU so finance starts month-end with answers, not a workbook. See prompt
- Three-way PO matching Match your purchase orders against delivery receipts and supplier invoices automatically. Flag every quantity discrepancy at the PO and SKU level. See prompt
- Accrual calculations Build shipping and expense accruals automatically. Match uninvoiced activity to your rate card and roll up by carrier or vendor for month-end close. See prompt
Customer stories
Real results from real teams
See how other ops and finance teams use Parabola.