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Why teams switch from FinQuery to Arvexi
FinQuery rebranded from LeaseQuery, but a new name doesn't fix legacy architecture. Arvexi was built AI-native from day one. No rebrand required.
| Feature | Arvexi | FinQuery |
|---|---|---|
| AI Document Extraction | AI reads any PDF. No templates, no manual entry | Manual data entry with spreadsheet-style input |
| Multi-Standard Support | ASC 842, IFRS 16, GASB 87, GASB 96, FRS 102 simultaneously | ASC 842 and IFRS 16. No government standards |
| Auditor Portal | Dedicated read-only portal for independent audit review | No dedicated auditor portal |
| Implementation Time | Days. Upload documents, AI extracts, review and approve | Weeks of manual data entry and configuration |
| API-First Architecture | Full RESTful API. Every feature programmable | Limited API capabilities |
| AI Agents | Autonomous AI agent with 38+ accounting tools | No AI agent. Manual workflows only |
| Document Intelligence | AI extraction with confidence scoring and source citations | No document extraction. Manual input required |
| Architecture | Built AI-native in 2025. Modern stack | Pre-AI architecture rebranded in 2023 |
A rebrand doesn't fix architecture
LeaseQuery was built before AI could read documents, before modern APIs were standard, before cloud-native architecture was the default. In 2023, it became FinQuery: new name, new logo, expanded scope. But the core lease accounting engine is the same pre-AI architecture underneath.
Arvexi was built in 2025 with AI as a foundational capability, not a feature to add later. Document extraction, classification, and journal entry generation are powered by AI from the ground up. This isn't a philosophical difference. It's a practical one. FinQuery requires manual data entry for every lease. Arvexi reads your lease PDFs automatically.
The question isn't whether FinQuery is a good product. It's whether architecture built before AI should be your platform for the next decade.
CPA-built, but not AI-native
FinQuery was founded by CPAs, and it shows in the product's strength: deep accounting logic, solid ASC 842 calculations, and well-structured journal entries. That expertise is real and valuable.
But accounting expertise and AI engineering are different disciplines. FinQuery's AI capabilities are features added to a platform that was designed around manual workflows. Arvexi combines accounting domain expertise with AI-native architecture. Extraction, classification, validation, and generation all happen through AI agents, not manual forms.
The best lease accounting platform of the next decade will be built by teams that understand both accounting and AI. Not one or the other.
Manual entry is a bottleneck, not a feature
Every lease in FinQuery starts with someone typing data into fields. For a 50-lease portfolio, that's manageable. For 500 leases, it's a project. For 5,000 leases, it's a department.
Arvexi starts with a PDF upload. The AI extracts every relevant term, payment schedule, option, and clause. Your team reviews and approves. They don't type. The difference compounds: every lease modification, every amendment, every renewal that would require manual re-entry in FinQuery is handled automatically in Arvexi.
Time spent on data entry is time not spent on analysis, strategy, and close. That's the real cost of manual input.
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