At a glance
| daappa | 73 Strings |
|---|
| Primary focus | Operations, data and accounting for private markets | AI-assisted valuations |
| Document data extraction | Yes: Extractor AI on GP, portco and LP documents, human-checked | Valuation inputs |
| Governed data layer | Yes: DataHub, one governed dataset | — |
| Fund accounting / GL | Yes: transaction-management engine with integrated GL | — |
| NAV oversight | Yes: automated, auditable | Valuation, not oversight |
| Analytics / BI | Yes: pre-built for private equity, any data source | Valuation analytics |
| Deployment | Multi-cloud or fully on-premise | Cloud |
| Best for | Firms wanting one operational layer they can run on their own infrastructure | Valuation automation |
The verdict
73 Strings focuses on valuations. daappa handles valuations inside a transaction-management engine and surrounds them with the full data and oversight layer, extraction, DataHub, analytics and NAV oversight, on your choice of infrastructure.
FAQ
Is daappa an alternative to 73 Strings?
Yes. daappa overlaps with 73 Strings in some areas but is a broader operations, data and accounting platform for private markets, with document extraction, a governed data hub, NAV oversight, analytics and fund accounting, deployable multi-cloud or on-premise.
What does daappa do that 73 Strings does not?
daappa combines AI document extraction, a governed dataset, analytics, NAV oversight and a transaction-management accounting engine in one platform, and can run fully on-premise so your data is never shared with external AI engines.
Can daappa run on our own infrastructure?
Yes. daappa runs multi-cloud, in your own cloud, or fully on-premise, and can integrate with your own internal AI and data tools.
Last reviewed June 2026. This is daappa's own view based on public information; vendors evolve. Tell us your stack and we will give you a straight answer.