Revzio is building autonomous finance operations — the AI agents that run the entire finance back office.
Accounts payable, accounts receivable, billing, vendor and contract lifecycle — the work that buries finance teams in reconciliation, approvals, and follow-ups. We're rebuilding all of it as AI agents that run the workflows end to end.
We've started with vendor onboarding and invoice approval, but that's the wedge, not the destination. The goal is the full loop: every dollar a business pays out and every dollar it collects, orchestrated by agents that handle the work and get the numbers right.
This is not a chatbot wrapper. We're designing agentic systems where LLMs take real financial actions, which means the hard parts are the whole job:

Agentic orchestration — multi-LLM workflows (Claude, Gemini, OpenAI) on a Celery/Redis task architecture, where each trigger spawns a complete agent loop.
Financial correctness — usage-based invoicing, pro-rata amendments, credit notes, trailing usage, multi-gateway reconciliation. Across AP and AR, the math has to be right every time.
Safety on real-money actions — prompt-injection defense, PII redaction, strict multi-tenant isolation, step-up auth before anything touches a ledger.
Deep integrations — accounting systems, payment gateways, and banking rails, reconciled into a single source of truth.

The stack is modern (Next.js, FastAPI, Supabase, Docker) and the surface area is enormous. We're early, which means the engineers who join now own architecture decisions outright — not maintain someone else's.
If you want to build agentic systems where a bug isn't a cosmetic glitch but a wrong payment, and you think that constraint makes the work more interesting, not less — talk to us.

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Revzio

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