The platform fund of hedge funds use for the whole cycle, from a database of 30,000+ hedge funds to the LP report, with every manager on one shared record.
AlternativeSoft is the software fund of hedge funds teams use for the whole cycle: Sourcing managers from a database of 30,000+ hedge funds, ranking them against 6,100+ strategy peer groups, running operational due diligence with AI-assisted questionnaires, building the portfolio under liquidity and concentration constraints, monitoring manager drift and reporting to investors in each client's branding. It is used by fund of hedge funds including AllianceBernstein, BNP Paribas Capital Partners and Unigestion, and by five of the ten largest hedge fund selectors in the world.
Screen 30,000+ hedge funds on strategy, size, liquidity and 4,000+ statistics; saved screens re-run monthly; emerging managers list on the marketplace.
Peer rank each candidate, run factor and style analysis, measure marginal contribution to the existing portfolio.
Send DDQs, let the AI analyse answers and documents, flag compliance points, keep one record per manager.
Optimise under liquidity and concentration constraints, monitor drift and limits, generate LP reports per client.
The hedge fund database with saved screens and the fund marketplace where managers list themselves.
Hedge fund databaseCloud ODD: DDQs, documents, AI completion and flagging, audit trail.
Cloud ODDNine optimisation methods with redemption terms, gates and lock-ups as constraints.
FoF portfolio constructionStyle drift, exposure and liquidity alerts per manager and for the portfolio.
Risk monitoringLP reports and factsheets per client in their branding, generated in batch.
ReportingFund of hedge funds work is manager-centric: Everything about a manager (track record, peer rank, DDQ, documents, meeting notes, exposures, limits) belongs on one record that the whole team shares. AlternativeSoft is built that way, which is why a fund of hedge funds can run sourcing, selection, due diligence, construction, monitoring and reporting on one platform instead of five.
The quantitative work can also be done from an AI assistant through MCP: "Rank the managers on our watch list against their strategy peers and flag any whose drawdown exceeds our limit" is a question the assistant answers from the engine.
Send the manager list. We build the peer rankings and a portfolio-level risk view before the call.