Investors
Hypothetical seed narrative for a payments ops workflow engine.
Download pitch one‑pager (PDF)
How we're different
- Stop preventable losses (deadlines + escalation).
- Fight smarter (evidence templates + checklists).
- Prove it (audit log + case ledger).
Trust rule: AI drafts, humans approve sensitive actions.
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WON/LOST
Hypothetical financing snapshot
Hypothetical Seed (Nov 2025): $7.0M
Lead (hypothetical): OpenView
Participation (hypothetical): Oak HC/FT, operator angels
Hypothetical scenario for internal planning.
Unit economics (hypothetical)
Pricing shape
Subscription + volume tier. Flexible models: per dispute, flat + overages, or outcome-aligned.
Gross margin drivers
- Workflow automation reduces manual labor.
- Templates reduce rework per case.
- Exports reduce compliance overhead.
Expansion vectors
- More rails (ACH + recon).
- More processors/networks.
- More cohorts and playbooks.
Risks and mitigations
- Integration complexity: start with Stripe-first workflow.
- Competition: differentiate with cross-rail coverage.
- Operational risk: approvals + audit logs for sensitive actions.
Sources
https://chargebacks911.com/report/
https://www.nacha.org/ach-network-statistics
https://www.nacha.org/content/same-day-ach
https://www.nacha.org/system/files/2022-12/UnauthorizedReturnRate%20Resource%20Guide%202023.pdf
https://docs.stripe.com/disputes
https://docs.stripe.com/api/disputes
https://support.stripe.com/questions/evidence-requirements-for-disputes
https://usa.visa.com/support/consumer/chargeback-process.html
https://usa.visa.com/solutions/merchant-solutions/chargeback-management.html
https://www.ethoca.com/products/alerts
https://fintechmagazine.com/news/how-is-us-35m-of-chargeflow-funding-automating-chargebacks
https://www.calcalistech.com/ctechnews/article/bkqv0tbhjlFounders
Sam — Co-founder & CEO
Previously at Amazon AGI, focused on reliable agentic systems and orchestration for long-running workflows.
Takeshwari — Co-founder & CPO / Risk
Previously at Google, worked on Ads and Gemini Compliance, building governance programs for high-scale systems.