Important takeaways.
- Levercon is the better fit for an Australian private lender whose bottleneck is the monitoring cycle, with data hosted in Sydney and a team in Melbourne and Sydney.
- 73 Strings is an AI-first valuation and monitoring platform headquartered in Paris. It opened its first Asia-Pacific office, in Singapore, on 2 March 2026.
- 73 Strings leads with valuation and pairs real-time covenant monitoring with audit-ready valuations. Levercon is built around the monitoring cycle, from collecting the pack to drafting the note.
- Choose 73 Strings when valuation is the bottleneck. Choose Levercon when the monitoring cycle is, and when borrower data needs to stay in Australia.
- Levercon is priced per loan, per month, with pilot opportunities. 73 Strings does not state hosting or a pricing model on the pages checked.
Levercon is the better fit for an Australian private lender whose bottleneck is the monitoring cycle, with borrower data hosted in Sydney and a team in Melbourne and Sydney. 73 Strings is a Paris-headquartered AI-first valuation and monitoring platform that opened its first Asia-Pacific office, in Singapore, on 2 March 2026. Here is how the two compare in 2026.
Disclosure first. This page is written by Levercon. Everything said about 73 Strings comes from 73 Strings's own website, read on 28 October 2026, and "Not stated" means the pages checked do not make the claim.
How do Levercon and 73 Strings compare?
Choose Levercon when
- You want borrower data hosted in Sydney, on AWS.
- You want a team in Melbourne and Sydney, in your time zone.
- You want to keep your own Excel model, templates and system of record.
- You want every covenant reported as headroom or breach, with the cure sized.
- You want analysts to run monitoring inside Claude, Copilot or ChatGPT.
- You want to pay per loan, per month, and pilot on part of the book first.
Choose 73 Strings when
- Valuation is your bottleneck, not monitoring.
- You want valuation and monitoring on one platform.
- You invest across private equity, venture and infrastructure as well as credit.
How do Levercon and 73 Strings compare in detail?
Company and data.
 Levercon |  73 Strings | |
|---|---|---|
| Based in | Melbourne and Sydney | Paris headquarters, Singapore office |
| Hosting | Levercon-hosted on AWS, exclusively Sydney | Not stated |
| Pricing model | Price per loan per month, with pilot opportunities | Not stated |
| Lenders supported | Private credit, corporate and direct lending, asset-backed, agricultural, non-bank, venture debt, revenue-based | Private credit, infrastructure, multi-strategy |
The monitoring cycle.
| Levercon | 73 Strings | |
|---|---|---|
| Reporting collection | Chases each pack by email and portal, lists what is late | Centralises data across sources |
| Spreading | Any format into your own fields, each figure linked to its page | Extracts and standardises from agreements and packs |
| Covenant output | Headroom, breach, cure sized | Real-time covenant monitoring |
| Borrower figures checked | Certificate checked against the agreement and your calculation | Not stated |
| Figure traced to source | Source document, model input and covenant definition | Complete audit trail |
| Reporting | Monitoring note drafted in your template, cited, routed for sign-off | Audit-ready valuations for LPs and auditors |
AI and delivery.
| Levercon | 73 Strings | |
|---|---|---|
| How it is delivered | Agents around your own model, templates and system of record | AI-first valuation and monitoring platform |
| Runs inside AI tools | Claude, Copilot, ChatGPT via MCP | ChatGPT, Claude, Copilot |
| Australian and APAC rules | FSC Standard 30, MAS AI guidelines | Not stated |
| Before go-live | Run against prior periods you already signed off | Not stated |
When do Australian lenders look beyond 73 Strings?
The search usually starts when the valuation process is under control but the monitoring cycle is not. Borrower packs arrive late and in every format, covenants are tested in spreadsheets, and each monitoring note takes most of an analyst's day. Or the board asks why borrower data is held offshore when the lender and its investors are in Australia. Levercon is built for exactly that cycle, and for keeping the data in Sydney.
What does 73 Strings do well?
73 Strings is strong where valuation and monitoring meet. It extracts and standardises data from credit agreements, financial statements and reporting packs, offers real-time covenant monitoring with audit-ready valuations, and keeps a complete audit trail. Teams can reach it through ChatGPT, Claude, Copilot or their own LLM. For a manager whose valuation process is the bottleneck, it is worth a look.
How does pricing compare?
Neither vendor publishes a price. Levercon prices per loan, per month, with pilot opportunities, so the cost follows the size of the book. 73 Strings does not state a pricing model on the pages checked. A lender buying valuation and monitoring together should ask how each is priced.
How does Levercon run the monitoring cycle?
Levercon is delivered, not just switched on. Nothing goes live until it has matched monitoring work the lender already signed off.
- Understand the monitoring process. How monitoring runs today, where the time goes and what good looks like.
- Map the data and requirements. Data sources, reporting requirements and covenants, so the agents have the context for each borrower.
- Build and connect the agents. Configured around the lender's process and connected to its systems.
- Run them against prior periods. The agents' outputs are compared with completed monitoring work before anything goes live.
- Go live with the team. Analysts run monitoring, review outputs and approve results inside Claude, Copilot or ChatGPT.
- Track and improve. A dashboard brings reporting status, borrower trends and portfolio risks together.
In Levercon's published case study, a $500m corporate lender cut monitoring from nine hours to two per loan, saving more than $180K a year in analyst time. To weigh 73 Strings against the wider field, see 73 Strings alternatives in Australia or the full comparison.
Questions this guide answers.
Is Levercon or 73 Strings better for an Australian lender?
For a private lender whose bottleneck is monitoring rather than valuation, Levercon. Levercon is headquartered in Melbourne and Sydney and hosts client data on AWS, exclusively in Sydney. It works around the lender's own model, runs inside Claude, Copilot or ChatGPT via MCP, and is priced per loan, per month, with pilot opportunities.
Does 73 Strings have an office in Australia?
73 Strings is headquartered in Paris. It opened its first Asia-Pacific office in Singapore on 2 March 2026, to support clients across Southeast Asia and Australia. Levercon is headquartered in Melbourne and Sydney.
Is 73 Strings a valuation tool or a monitoring tool?
Both. 73 Strings describes a platform for valuation, portfolio monitoring and data intelligence, and pairs real-time covenant monitoring with audit-ready valuations. Levercon is built around the monitoring cycle itself.
Where is Levercon's client data hosted?
Levercon hosts client data itself, on AWS and exclusively in Sydney. The 73 Strings pages checked do not state where its client data is hosted.
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