Kruncher Raises $1M Pre-Seed Round Led by 5I Ventures to Build AI Private Market Intelligence Platform 

Kruncher, a Singapore-founded AI platform building “private market intelligence” tools for venture capital, private equity, and corporate investors, has raised $1 million in pre-seed funding as it expands its AI-powered deal screening and due diligence automation platform.

The round was led by 5I Ventures, with support from Aument Capital Partners, a Singapore-based multi-family office that focuses on backing early-stage technology startups and supporting international expansion. The funding has helped the company scale its operations across Asia, Europe, and the United States.

Kruncher builds an AI “analyst layer” for private markets, designed to help investors process large volumes of fragmented startup data and convert it into structured investment intelligence. The platform uses a network of more than 30 AI agents that continuously track companies, ingest documents such as pitch decks and financial statements, and generate dynamic company timelines and investment memos. The system is aimed at reducing the time required for deal evaluation from hours or days to minutes.

The company positions its technology as a response to a core challenge in venture capital and private equity: the overwhelming volume of inbound deals and unstructured information. By converting raw data into standardized insights, Kruncher enables funds to evaluate startups more consistently and compare opportunities across sectors using configurable investment criteria.

Kruncher has already been adopted by more than 100 investment firms globally, including venture capital funds such as 1982 Ventures, QAI Ventures, and P101, which use the platform to streamline screening and due diligence workflows. These customers represent early validation of Kruncher’s thesis that AI can function as a scalable substitute for large analyst teams in private markets.

Founded in Singapore in 2024, Kruncher was created by CEO Francesco De Liva, along with co-founders Leonardo De Marchi, Eugene Kim, and Laura Lugaresi. The founding team includes experience from enterprise AI transformation and financial technology consulting, which has influenced the platform’s focus on structured decision-making and enterprise-grade analytics.

The platform integrates multiple data sources, including public registries, internal fund data, CRM systems, and unstructured founder communications. It then applies proprietary scoring models tailored to each investor’s strategy, allowing firms to automatically surface companies that match specific thesis criteria. This adaptive approach means that different investment teams can receive different outputs from the same underlying dataset, depending on their priorities.

Kruncher also emphasizes workflow integration, connecting with tools such as CRMs and document storage systems to reduce manual data entry. The platform is designed to act as both a research engine and a decision-support system, helping investors move from initial screening to investment committee memos more efficiently.

Early users report significant reductions in analysis time, with some funds using Kruncher to cut company evaluation workflows from multiple days to under an hour. The system is also used to track portfolio companies continuously, flagging key events such as funding rounds, leadership changes, and product launches in real time.

With its $1 million pre-seed funding, Kruncher is now focused on expanding its AI capabilities, growing its U.S. presence, and deepening integrations with institutional investment workflows. The company is positioning itself as a foundational intelligence layer for private markets, aiming to become a core operating system for venture capital and private equity decision-making.